Callahan, Alison; Abeyruwan, Saminda W; Al-Ali, Hassan; Sakurai, Kunie; Ferguson, Adam R; Popovich, Phillip G; Shah, Nigam H; Visser, Ubbo; Bixby, John L; Lemmon, Vance P
Spinal cord injury (SCI) research is a data-rich field that aims to identify the biological mechanisms resulting in loss of function and mobility after SCI, as well as develop therapies that promote recovery after injury. SCI experimental methods, data and domain knowledge are locked in the largely unstructured text of scientific publications, making large scale integration with existing bioinformatics resources and subsequent analysis infeasible. The lack of standard reporting for experiment variables and results also makes experiment replicability a significant challenge. To address these challenges, we have developed RegenBase, a knowledge base of SCI biology. RegenBase integrates curated literature-sourced facts and experimental details, raw assay data profiling the effect of compounds on enzyme activity and cell growth, and structured SCI domain knowledge in the form of the first ontology for SCI, using Semantic Web representation languages and frameworks. RegenBase uses consistent identifier schemes and data representations that enable automated linking among RegenBase statements and also to other biological databases and electronic resources. By querying RegenBase, we have identified novel biological hypotheses linking the effects of perturbagens to observed behavioral outcomes after SCI. RegenBase is publicly available for browsing, querying and download.Database URL:http://regenbase.org. PMID:27055827
van der Zande, Paul; Waarlo, Arend Jan; Brekelmans, Mieke; Akkerman, Sanne F.; Vermunt, Jan D.
Recent developments in the field of genomics will impact the daily practice of biology teachers who teach genetics in secondary education. This study reports on the first results of a research project aimed at enhancing biology teacher knowledge for teaching genetics in the context of genetic testing. The increasing body of scientific knowledge concerning genetic testing and the related consequences for decision-making indicate the societal relevance of such a situated learning approach. What content knowledge do biology teachers need for teaching genetics in the personal health context of genetic testing? This study describes the required content knowledge by exploring the educational practice and clinical genetic practices. Nine experienced teachers and 12 respondents representing the clinical genetic practices (clients, medical professionals, and medical ethicists) were interviewed about the biological concepts and ethical, legal, and social aspects (ELSA) of testing they considered relevant to empowering students as future health care clients. The ELSA suggested by the respondents were complemented by suggestions found in the literature on genetic counselling. The findings revealed that the required teacher knowledge consists of multiple layers that are embedded in specific genetic test situations: on the one hand, the knowledge of concepts represented by the curricular framework and some additional concepts (e.g. multifactorial and polygenic disorder) and, on the other hand, more knowledge of ELSA and generic characteristics of genetic test practice (uncertainty, complexity, probability, and morality). Suggestions regarding how to translate these characteristics, concepts, and ELSA into context-based genetics education are discussed.
Gregorio Sergio E
Full Text Available Abstract Motivation Ontology development and the annotation of biological data using ontologies are time-consuming exercises that currently require input from expert curators. Open, collaborative platforms for biological data annotation enable the wider scientific community to become involved in developing and maintaining such resources. However, this openness raises concerns regarding the quality and correctness of the information added to these knowledge bases. The combination of a collaborative web-based platform with logic-based approaches and Semantic Web technology can be used to address some of these challenges and concerns. Results We have developed the BOWiki, a web-based system that includes a biological core ontology. The core ontology provides background knowledge about biological types and relations. Against this background, an automated reasoner assesses the consistency of new information added to the knowledge base. The system provides a platform for research communities to integrate information and annotate data collaboratively. Availability The BOWiki and supplementary material is available at http://www.bowiki.net/. The source code is available under the GNU GPL from http://onto.eva.mpg.de/trac/BoWiki.
Callahan, Alison; Abeyruwan, Saminda W.; Al-Ali, Hassan; Sakurai, Kunie; Ferguson, Adam R.; Popovich, Phillip G.; Shah, Nigam H.; Visser, Ubbo; John L Bixby; Lemmon, Vance P.
Spinal cord injury (SCI) research is a data-rich field that aims to identify the biological mechanisms resulting in loss of function and mobility after SCI, as well as develop therapies that promote recovery after injury. SCI experimental methods, data and domain knowledge are locked in the largely unstructured text of scientific publications, making large scale integration with existing bioinformatics resources and subsequent analysis infeasible. The lack of standard reporting for experiment...
Nepomuceno, Juan A; Troncoso, Alicia; Nepomuceno-Chamorro, Isabel A; Aguilar-Ruiz, Jesús S
Gene expression data analysis is based on the assumption that co-expressed genes imply co-regulated genes. This assumption is being reformulated because the co-expression of a group of genes may be the result of an independent activation with respect to the same experimental condition and not due to the same regulatory regime. For this reason, traditional techniques are recently being improved with the use of prior biological knowledge from open-access repositories together with gene expression data. Biclustering is an unsupervised machine learning technique that searches patterns in gene expression data matrices. A scatter search-based biclustering algorithm that integrates biological information is proposed in this paper. In addition to the gene expression data matrix, the input of the algorithm is only a direct annotation file that relates each gene to a set of terms from a biological repository where genes are annotated. Two different biological measures, FracGO and SimNTO, are proposed to integrate this information by means of its addition to-be-optimized fitness function in the scatter search scheme. The measure FracGO is based on the biological enrichment and SimNTO is based on the overlapping among GO annotations of pairs of genes. Experimental results evaluate the proposed algorithm for two datasets and show the algorithm performs better when biological knowledge is integrated. Moreover, the analysis and comparison between the two different biological measures is presented and it is concluded that the differences depend on both the data source and how the annotation file has been built in the case GO is used. It is also shown that the proposed algorithm obtains a greater number of enriched biclusters than other classical biclustering algorithms typically used as benchmark and an analysis of the overlapping among biclusters reveals that the biclusters obtained present a low overlapping. The proposed methodology is a general-purpose algorithm which allows
van der Zande, P.A.M.; Waarlo, A.J.; Brekelmans, M.; Akkerman, S.F.; Vermunt, J. D.
Recent developments in the field of genomics will impact the daily practice of biology teachers who teach genetics in secondary education. This study reports on the first results of a research project aimed at enhancing biology teacher knowledge for teaching genetics in the context of genetic testin
van der Zande, Paul; Waarlo, Arend Jan; Brekelmans, Mieke; Akkerman, Sanne F.; Vermunt, Jan D.
Recent developments in the field of genomics will impact the daily practice of biology teachers who teach genetics in secondary education. This study reports on the first results of a research project aimed at enhancing biology teacher knowledge for teaching genetics in the context of genetic testing. The increasing body of scientific knowledge…
Zhao, Xiaolei; Zuo, Xiaoyu; Qin, Jiheng; Liang, Yan; Zhang, Naizun; Luan, Yizhao; Rao, Shaoqi
Biological pathways have been widely used in gene function studies; however, the current knowledge for biological pathways is per se incomplete and has to be further expanded. Bioinformatics prediction provides us a cheap but effective way for pathway expansion. Here, we proposed a novel method for biological pathway prediction, by intergrating prior knowledge of protein?protein interactions and Gene Ontology (GO) database. First, the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways to which the interacting neighbors of a targe gene (at the level of protein?protein interaction) belong were chosen as the candidate pathways. Then, the pathways to which the target gene belong were determined by testing whether the genes in the candidate pathways were enriched in the GO terms to which the target gene were annotated. The protein?protein interaction data obtained from the Human Protein Reference Database (HPRD) and Biological General Repository for Interaction Datasets (BioGRID) were respectively used to predict the pathway attribution(s) of the target gene. The results demanstrated that both the average accuracy (the ratio of the correctly predicted pathways to the totally pathways to which all the target genes were annotated) and the relative accuracy (of the genes with at least one annotated pathway being successful predicted, the percentage of the genes with all the annotated pathways being correctly predicted) for pathway predictions were increased with the number of the interacting neighbours. When the number of interacting neighbours reached 22, the average accuracy was 96.2% (HPRD) and 96.3% (BioGRID), respectively, and the relative accuracy was 93.3% (HPRD) and 84.1% (BioGRID), respectively. Further validation analysis of 89 genes whose pathway knowledge was updated in a new database release indicated that 50 genes were correctly predicted for at least one updated pathway, and 43 genes were accurately predicted for all the updated pathways, giving an
Full Text Available We propose a Conceptual Model-based Systems Biology framework for qualitative modeling, executing, and eliciting knowledge gaps in molecular biology systems. The framework is an adaptation of Object-Process Methodology (OPM, a graphical and textual executable modeling language. OPM enables concurrent representation of the system's structure-the objects that comprise the system, and behavior-how processes transform objects over time. Applying a top-down approach of recursively zooming into processes, we model a case in point-the mRNA transcription cycle. Starting with this high level cell function, we model increasingly detailed processes along with participating objects. Our modeling approach is capable of modeling molecular processes such as complex formation, localization and trafficking, molecular binding, enzymatic stimulation, and environmental intervention. At the lowest level, similar to the Gene Ontology, all biological processes boil down to three basic molecular functions: catalysis, binding/dissociation, and transporting. During modeling and execution of the mRNA transcription model, we discovered knowledge gaps, which we present and classify into various types. We also show how model execution enhances a coherent model construction. Identification and pinpointing knowledge gaps is an important feature of the framework, as it suggests where research should focus and whether conjectures about uncertain mechanisms fit into the already verified model.
Madalina Cristina Tocan
Full Text Available In the present, we can observe that a new economy is arising. It is an economy based on knowledge and ideas, in which the key factor for prosperity and for creation of the new jobs is the knowledge capitalization. Knowledge capitalization, intellectual capital, obtaining prosperity in the market economy imposes a new terminology, new managerial methods and techniques, new technologies and also new strategies. In other words, knowledge based economy, as a new type of economy; impose a new type of management- knowledge based management and a new type of enterprise-knowledge based enterprise.Taking in consideration these predictable evolutions, this paper will try to present: • The main ideas of the researches the field of the knowledge based economy • The characteristics and principles of the knowledge based organizations and knowledge based management • The challenges and opportunities for knowledge based organizations.The first part of the paper will present the principles of the new economy- knowledge base economy, the essential and interrelated elements necessary to build and to implement a strategy in a knowledge economy and the opportunities and challenges to the countries as they seek to build regionally and globally competitive knowledge-based economies.The second part of the paper will present the characteristics of the knowledge based organizations, the principles and characteristics of their management. For many organizations, knowledge management is a relatively new concept, because they are discovering the knowledge value in their operations. Many firms have undertaken formal and informal knowledge management initiatives designed to improve process performance, increase customer responsiveness and spur innovation. But while some organizations have reaped significant benefits from their investment in knowledge efforts, others have run into noteworthy challenges.
Madalina Cristina Tocan
In the present, we can observe that a new economy is arising. It is an economy based on knowledge and ideas, in which the key factor for prosperity and for creation of the new jobs is the knowledge capitalization. Knowledge capitalization, intellectual capital, obtaining prosperity in the market economy imposes a new terminology, new managerial methods and techniques, new technologies and also new strategies. In other words, knowledge based economy, as a new type of economy; impose a new type...
Ju Han Kim
Full Text Available Most methods for large-scale gene expression microarray and RNA-Seq data analysis are designed to determine the lists of genes or gene products that show distinct patterns and/or significant differences. The most challenging and rate-liming step, however, is to determine what the resulting lists of genes and/or transcripts biologically mean. Biomedical ontology and pathway-based functional enrichment analysis is widely used to interpret the functional role of tightly correlated or differentially expressed genes. The groups of genes are assigned to the associated biological annotations using Gene Ontology terms or biological pathways and then tested if they are significantly enriched with the corresponding annotations. Unlike previous approaches, Gene Set Enrichment Analysis takes quite the reverse approach by using pre-defined gene sets. Differential co-expression analysis determines the degree of co-expression difference of paired gene sets across different conditions. Outcomes in DNA microarray and RNA-Seq data can be transformed into the graphical structure that represents biological semantics. A number of biomedical annotation and external repositories including clinical resources can be systematically integrated by biological semantics within the framework of concept lattice analysis. This array of methods for biological knowledge assembly and interpretation has been developed during the past decade and clearly improved our biological understanding of large-scale genomic data from the high-throughput technologies.
Madalina Cristina Tocan
The importance of knowledge-based economy (KBE) in the XXI century is evident. In the article the reflection of knowledge on economy is analyzed. The main point is targeted to the analysis of characteristics of knowledge expression in economy and to the construction of structure of KBE expression. This allows understanding the mechanism of functioning of knowledge economy. The authors highlight the possibility to assess the penetration level of KBE which could manifest itself trough the exist...
U.S. Environmental Protection Agency — The Monitoring Knowledge Base (MKB) is a compilation of emissions measurement and monitoring techniques associated with air pollution control devices, industrial...
Heymans, Stijn; Predoiu, Livia; Feier, Cristina; Van Nieuwenborgh, Davy
Recently, there has been a lot of interest in the integration of Description Logics and rules on the Semantic Web.We define guarded hybrid knowledge bases (or g-hybrid knowledge bases) as knowledge bases that consist of a Description Logic knowledge base and a guarded logic program, similar to the DL+log knowledge bases from (Rosati 2006). G-hybrid knowledge bases enable an integration of Description Logics and Logic Programming where, unlike in other approaches, variables in the rules of a guarded program do not need to appear in positive non-DL atoms of the body, i.e. DL atoms can act as guards as well. Decidability of satisfiability checking of g-hybrid knowledge bases is shown for the particular DL DLRO, which is close to OWL DL, by a reduction to guarded programs under the open answer set semantics. Moreover, we show 2-EXPTIME-completeness for satisfiability checking of such g-hybrid knowledge bases. Finally, we discuss advantages and disadvantages of our approach compared with DL+log knowledge bases.
E. N. Anderson
Review of Indigenous Knowledge, Ecology, and Evolutionary Biology. Raymond Pierotti. 2011. Routledge (Taylor & Francis Group), New York. Pp. Xv + 264, Bibliography, index. ISBN13: 978-0-415-87924-8 (hbk), 978-0-203-84711-4 (ebk).
Madalina Cristina Tocan
Full Text Available The importance of knowledge-based economy (KBE in the XXI century isevident. In the article the reflection of knowledge on economy is analyzed. The main point is targeted to the analysis of characteristics of knowledge expression in economy and to the construction of structure of KBE expression. This allows understanding the mechanism of functioning of knowledge economy. Theauthors highlight the possibility to assess the penetration level of KBE which could manifest itself trough the existence of products of knowledge expression which could be created in acquisition, creation, usage and development of them. The latter phenomenon is interpreted as knowledge expression characteristics: economic and social context, human resources, ICT, innovative business and innovation policy. The reason for this analysis was based on the idea that in spite of the knowledge economy existence in all developed World countries adefinitive, universal list of indicators for mapping and measuring the KBE does not yet exists. Knowledge Expression Assessment Models are presented in the article.
Lupsa Dana; Constantin Sanda
For the past years, information and knowledge are replacing capital and energy as the primary wealth-creating assets, generating a new type of economy, and called knowledge based economy (KBE), within knowledge management is the main instrument for the companies to obtain competitive advantage. Given the goal of EU established at Lisbon and the perspective of Romania’s accession to EU, Romanian companies must align their management practices with knowledge management in order to survive on a ...
Full Text Available Abstract Background Identification of transcription factors (TFs involved in a biological process is the first step towards a better understanding of the underlying regulatory mechanisms. However, due to the involvement of a large number of genes and complicated interactions in a gene regulatory network (GRN, identification of the TFs involved in a biology process remains to be very challenging. In reality, the recognition of TFs for a given a biological process can be further complicated by the fact that most eukaryotic genomes encode thousands of TFs, which are organized in gene families of various sizes and in many cases with poor sequence conservation except for small conserved domains. This poses a significant challenge for identification of the exact TFs involved or ranking the importance of a set of TFs to a process of interest. Therefore, new methods for recognizing novel TFs are desperately needed. Although a plethora of methods have been developed to infer regulatory genes using microarray data, it is still rare to find the methods that use existing knowledge base in particular the validated genes known to be involved in a process to bait/guide discovery of novel TFs. Such methods can replace the sometimes-arbitrary process of selection of candidate genes for experimental validation and significantly advance our knowledge and understanding of the regulation of a process. Results We developed an automated software package called TF-finder for recognizing TFs involved in a biological process using microarray data and existing knowledge base. TF-finder contains two components, adaptive sparse canonical correlation analysis (ASCCA and enrichment test, for TF recognition. ASCCA uses positive target genes to bait TFS from gene expression data while enrichment test examines the presence of positive TFs in the outcomes from ASCCA. Using microarray data from salt and water stress experiments, we showed TF-finder is very efficient in recognizing
This presentation provides industry examples of successful marketing practices by companies facing deregulation and competition. The common thread through the examples is that long term survival of today's utility structure is dependent on the strategic role of knowledge. As opposed to regulated monopolies which usually own huge physical assets and have very little intelligence about their customers, unregulated enterprises tend to be knowledge-based, characterized by higher market value than book value. A knowledge-based enterprise gathers data, creates information and develops knowledge by leveraging it as a competitive weapon. It institutionalizes human knowledge as a corporate asset for use over and over again by the use of databases, computer networks, patents, billing, collection and customer services (BCCS), branded interfaces and management capabilities. Activities to become knowledge-based such as replacing inventory/fixed assets with information about material usage to reduce expenditure and achieve more efficient operations, and by focusing on integration and value-adding delivery capabilities, were reviewed
there is one common knowledge base on which economic activities can be built. In this paper we argue that it is more appropriate to see the economy as connecting to different ‘pools of knowledge'. The argument is built upon a conceptual framework where we make distinctions between private/public, local....../global, individual/collective and tacit/codified knowledge. The purpose is both ‘academic' and practical. Our analysis demonstrates the limits of a narrowly economic perspective on knowledge and we show that these distinctions have important implications both for innovation policy and for management of innovation.......It is increasingly realized that knowledge is the most important resource and that learning is the most important process in the economy. Sometimes this is expressed by coining the current era as characterised by a ‘knowledge based economy'. But this concept might be misleading by indicating that...
Sturm, A. [Hamburgische Electacitaets-Werke AG Hamburg (Germany)
The establishment of maintenance strategies is of crucial significance for the reliability of a plant and the economic efficiency of maintenance measures. Knowledge about the condition of components and plants from the technical and business management point of view therefore becomes one of the fundamental questions and the key to efficient management and maintenance. A new way to determine the maintenance strategy can be called: Knowledge Based Maintenance. A simple method for determining strategies while taking the technical condition of the components of the production process into account to the greatest possible degree which can be shown. A software with an algorithm for Knowledge Based Maintenance leads the user during complex work to the determination of maintenance strategies for this complex plant components. (orig.)
Ricardo Martine; Martine Collard
This paper discusses different approaches for integrating biological knowledge in gene expression analysis. Indeed we are interested in the ﬁfth step of microarray analysis procedure which focuses on knowledge discovery via interpretation of the microarray results. We present a state of the art of methods for processing this step and we propose a classiﬁcation in three facets: prior or knowledge-based, standard or expression-based and co-clustering. First we discuss brieﬂy the purpose and use...
Walters, Kristi L.
The importance of student motivation and its connection to other learning variables (i.e., attitudes, knowledge, persistence, attendance) is well established. Collaborative work at the undergraduate level has been recognized as a valuable tool in large courses. However, motivation and collaborative group work have rarely been combined. This project utilized student motivation to learn biology to place non-major biology undergraduates in collaborative learning groups at East Carolina University, a mid-sized southeastern American university, to determine the effects of this construct on student learning. A pre-test measuring motivation to learn biology, attitudes toward biology, perceptions of biology and biologists, views of science, and content knowledge was administered. A similar post-test followed as part of the final exam. Two sections of the same introductory biology course (n = 312) were used and students were divided into homogeneous and heterogeneous groups (based on their motivation score). The heterogeneous groups (n = 32) consisted of a mixture of different motivation levels, while the homogeneous groups (n = 32) were organized into teams with similar motivation scores using tiers of high-, middle-, and low-level participants. Data analysis determined mixed perceptions of biology and biologists. These include the perceptions biology was less intriguing, less relevant, less practical, less ethical, and less understandable. Biologists were perceived as being neat and slightly intelligent, but not very altruistic, humane, ethical, logical, honest, or moral. Content knowledge scores more than doubled from pre- to post-test. Half of the items measuring views of science were not statistically significantly different from pre- to post-test. Many of the factors for attitudes toward biology became more agreeable from pre- to post-test. Correlations between motivation scores, participation levels, attendance rates, and final course grades were examined at both the
Fuller, Ted; Bosworth, Gary; Deville, Jane
This report outlines the Onlincolnshire Knowledge Base Collaboration project undertaken by Lincoln Business School between May 2014 and September 2015. Onlincolnshire is a Lincolnshire County Council-run project which is part-funded by the East Midlands European Regional Development Fund (ERDF) Programme 2007 to 2013. As well as improving the broadband infrastructure, Onlincolnshire delivered a range of support to Lincolnshire’s Small and Medium Sized Enterprises (SMEs) through the “Business...
Full Text Available The main assumptions and functions of proposed Foundry Knowledge Base (FKB are presented in this paper. FKB is a framework forinformation exchange of casting products and manufacturing methods. We use CMS (Content Management System to develope andmaintain our web-based system. The CastML – XML dialect developed by authors for description of casting products and processes – isused as a tool for information interchange between ours and outside systems, while SQL is used to store and edit knowledge rules and alsoto solve the basic selection problems in the rule-based module. Besides the standard functions (companies data, news, events, forums and media kit, our website contains a number of nonstandard functions; the intelligent search module based on expert system is the main advantage of our solution. FKB is to be a social portal which content will be developed by foundry community.
Knowledge excavation is a new information processing technology. Nowadays, knowledge excavation has been widely applied to the university library management. Knowledge excavation in university library knowledge bases has already been playing an important role in improving the management of university libraries and inevitably will play a more profound role in the future. In this paper, the meaning of knowledge excavation in university library knowledge bases and other related issues are studie...
theories on practice and knowledge. As the result of an abductive reasoning is a theory proposal, there is a need for more deductive approaches to test the validity of this knowledge base claim. It is thus relevant to investigate which rationales are included in the knowledge base of journalism, as the...
Qian Feng; Yuanyuan Huang
In an information explosive era, knowledge management has become a hot field in enterprise informatization. In order to adapt to the competitive environment, it is now an urgent task to add knowledge management to ERP system and integrate learning and innovation on the platform of enterprise information system based on ERP. This paper focuses on knowledge management based on ERP and introduces a knowledge management system: KRM.
Vinje, Villeman; Nordkvelde, Marius
BI Norwegian School of Management is conducting a national research project entitled “A knowledge-based Norway”. Thirteen major knowledge-based industries in Norway are being analyzed under the auspices of the project. This study assesses the underlying properties of a global knowledge hub to examine the extent to which the Norwegian telecom industry – which encompasses all telecom firms located in Norway regardless of ownership – constitutes a global knowledge hub. It commences with a ge...
Purves, R. B.; Carnes, James R.; Cutts, Dannie E.
One approach to transforming information stored in relational data bases into knowledge based representations and back again is described. This system, called Foundation, allows knowledge bases to take advantage of vast amounts of pre-existing data. A benefit of this approach is inspection, and even population, of data bases through an intelligent knowledge-based front-end.
In this study, we assess the underlying properties of a global knowledge hub to examine the extent to which the Norwegian health industry constitutes such a hub. We begin with a general discussion of the industry before we examine the underlying properties of global knowledge hubs: cluster attractiveness, educational attractiveness, talent attractiveness, R&D and innovation attractiveness, ownership attractiveness, environmental attractiveness and cluster dynamics. We conclude by providing cl...
Wadouh, Julia; Liu, Ning; Sandmann, Angela; Neuhaus, Birgit J.
Knowledge structure is an important aspect for defining students' competency in biology learning, but how knowledge structure is influenced by the teaching process in naturalistic biology classroom settings has scarcely been empirically investigated. In this study, 49 biology lessons in the teaching unit "blood and circulatory…
Ideker, Trey; Dutkowski, Janusz; Hood, Leroy
Complexity is the grand challenge for science and engineering in the 21st century. We suggest that biology is a discipline that is uniquely situated to tackle complexity, through a diverse array of technologies for characterizing molecular structure, interactions and function. A major difficulty in the analysis of complex biological systems is dealing with the low signal-to-noise inherent to nearly all large-scale biological data sets. We discuss powerful bioinformatic concepts for boosting s...
Jiansheng Tang; Jinsheng He
Despite of the fact that knowledge sharing has become the focus of current literature and management practice, the core process of knowledge sharing has not been identified. What are the main barriers & incentives for people to share their knowledge, what is the internal mechanism of knowledge sharing, and how people evaluate the benefit coming from knowledge sharing are the core areas in knowledge management .In this paper we reexamine the knowledge sharing based on knowledge convening ...
Full Text Available The central dogma of molecular biology has provided a meaningful principle for data integration in the field of genomics. In this context, integration reflects the known transitions from a chromosome to a protein sequence: transcription, intron splicing, exon assembly and translation. There is no such clear principle for integrating proteomics data, since the laws governing protein folding and interactivity are not quite understood. In our effort to bring together independent pieces of information relative to proteins in a biologically meaningful way, we assess the bias of bioinformatics resources and consequent approximations in the framework of small-scale studies. We analyse proteomics data while following both a data-driven (focus on proteins smaller than 10 kDa and a hypothesis-driven (focus on whole bacterial proteomes approach. These applications are potentially the source of specialized complements to classical biological ontologies.
Morante, Silvia; Rossi, Giancarlo
The purpose of this work is to reconsider and critically discuss the conceptual foundations of modern biology and bio-sciences in general, and provide an epistemological guideline to help framing the teaching of these disciplines and enhancing the quality of their presentation in High School, Master and Ph.D. courses. After discussing the methodological problems that arise in trying to construct a sensible and useful scientific approach applicable to the study of living systems, we illustrate what are the general requirements that a workable scheme of investigation should meet to comply with the principles of the Galilean method. The amazing success of basic physics, the Galilean science of election, can be traced back to the development of a radically " reductionistic" approach in the interpretation of experiments and a systematic procedure tailored on the paradigm of " falsifiability" aimed at consistently incorporating new information into extended models/theories. The development of bio-sciences seems to fit with neither reductionism (the deeper is the level of description of a biological phenomenon the more difficult looks finding general and simple laws), nor falsifiability (not always experiments provide a yes-or-no answer). Should we conclude that biology is not a science in the Galilean sense? We want to show that this is not so. Rather in the study of living systems, the novel interpretative paradigm of " complexity" has been developed that, without ever conflicting with the basic principles of physics, allows organizing ideas, conceiving new models and understanding the puzzling lack of reproducibility that seems to affect experiments in biology and in other modern areas of investigation. In the delicate task of conveying scientific concepts and principles to students as well as in popularising bio-sciences to a wider audience, it is of the utmost importance for the success of the process of learning to highlight the internal logical consistency of
Eliasson, Gunnar; Fölster, Stefan; Lindberg, Thomas; Pousette, Tomas; Erol TAYMAZ
Working Paper No. 256 is published as "The Knowledge Based Information Economy" (authors: Gunnar Eliasson, Stefan Fölster, Thomas Lindberg, Tomas Pousette and Erol Taymaz). Stockholm: Industrial Institute for Economic and Social Research and Telecon, 1990.
Full Text Available This paper tries to present the existent relation between knowledge society and knowledge based economy. We will identify the main pillars of knowledge society and present their importance for the development of knowledge societies. Further, we will present two perspectives over knowledge societies, respectively science and learning perspectives, that directly affects knowledge based economies. At the end, we will conclude by identifying some important questions that must be answered regarding this new social paradigm.
Dragos CRISTEA; Matei, Daniela
This paper tries to present the existent relation between knowledge society and knowledge based economy. We will identify the main pillars of knowledge society and present their importance for the development of knowledge societies. Further, we will present two perspectives over knowledge societies, respectively science and learning perspectives, that directly affects knowledge based economies. At the end, we will conclude by identifying some important questions ...
Roy, Claudette; Hay, D. Robert
Nursing diagnosis is an integral part of the nursing process and determines the interventions leading to outcomes for which the nurse is accountable. Diagnoses under the time constraints of modern nursing can benefit from a computer assist. A knowledge-based engineering approach was developed to address these problems. A number of problems were addressed during system design to make the system practical extended beyond capture of knowledge. The issues involved in implementing a professional knowledge base in a clinical setting are discussed. System functions, structure, interfaces, health care environment, and terminology and taxonomy are discussed. An integrated system concept from assessment through intervention and evaluation is outlined.
Kinchin, Ian M.
Concept mapping is discussed as a tool for the visualisation of knowledge structures that can be exploited within biological education. Application of this tool makes it possible to relate the structure of the curriculum to the structure of the discipline, in order to support the development of robust student knowledge structures in ways that…
The paper describes the present state and future prospects of the Expert System for Operator Support (ESOS) developed at the Nuclear Research Institute at Rez near Prague (NRI). Special emphasis is put on knowledge acquisition and knowledge base representation means - ERB. ERB is a package of programs, which enables the user to create, edit and compile a knowledge base of the Expert System RECON, to create and edit testing data and to test knowledge base (KB). The knowledge base is displayed in the form of a graph, where nodes represent the rules and arcs represent the relations ''PREDECESSOR→SUCCESSOR''. The filling of KB is integrated with the design of their graphical representation. Owing to this, the form of the KB representation makes the whole KB more understandable. The filling process of KB corresponds with general methodologies, where in the first step nodes with identifiers and texts are defined, in the second step relations between them are specified, in the third step the predecessor is defined and finally, relations between nodes are concretized. The paper contains a description of the functions offered by the ERB. (author). 2 refs, 5 figs
WANG Hui-jin; HU Hua; LI Qing
Search engines have greatly helped us to find thedesired information from the Intemet. Most search engines use keywords matching technique. This paper discusses a Dynamic Knowledge Base based Search Engine (DKBSE), which can expand the user's query using the keywords' concept or meaning. To do this, the DKBSE needs to construct and maintain the knowledge base dynamically via the system's searching results and the user's feedback information. The DKBSE expands the user's initial query using the knowledge base, and returns the searched information after the expanded query.
Yang, Cheng; Liu, Zheng; Wang, Haobai; Shen, Jiaoqi
Design knowledge was reused for innovative design work to support designers with product design knowledge and help designers who lack rich experiences to improve their design capacity and efficiency. First, based on the ontological model of product design knowledge constructed by taxonomy, implicit and explicit knowledge was extracted from some…
Sebastian Ion CEPTUREANU; Eduard Gabriel CEPTUREANU
In the new economy, knowledge is an essential component of economic and social systems. The organizational focus has to be on building knowledge-based management, development of human resource and building intellectual capital capabilities. Knowledge-based management is defined, at company level, by economic processes that emphasize creation, selling, buying, learning, storing, developing, sharing and protection of knowledge as a decisive condition for profit and long-term sustainability of t...
Sebastian Ion CEPTUREANU
Full Text Available In the new economy, knowledge is an essential component of economic and social systems. The organizational focus has to be on building knowledge-based management, development of human resource and building intellectual capital capabilities. Knowledge-based management is defined, at company level, by economic processes that emphasize creation, selling, buying, learning, storing, developing, sharing and protection of knowledge as a decisive condition for profit and long-term sustainability of the company. Hence, knowledge is, concurently, according to a majoritiy of specialists, raw material, capital, product and an essential input. Knowledge-based communities are one of the main constituent elements of a framework for knowledge based management. These are peer networks consisting of practitioners within an organization, supporting each other to perform better through the exchange and sharing of knowledge. Some large companies have contributed or supported the establishment of numerous communities of practice, some of which may have several thousand members. They operate in different ways, are of different sizes, have different areas of interest and addresses knowledge at different levels of its maturity. This article examines the role of knowledge-based communities from the perspective of knowledge based management, given that the arrangements for organizational learning, creating, sharing, use of knowledge within organizations become more heterogeneous and take forms more difficult to predict by managers and specialists.
Bourdon, Jérémie; Eveillard, Damien; Gabillard, Samuel; Merle, Theo
Despite recent molecular technique improvements, biological knowledge remains incomplete. Reasoning on living systems hence implies to integrate heterogeneous and partial informations. Although current investigations successfully focus on qualitative behaviors of macromolecular networks, others approaches show partial quantitative informations like protein concentration variations over times. We consider that both informations, qualitative and quantitative, have to be combined into a modeling...
TANG Zhi-jie; YANG Bao-an; ZHANG Ke-jing
Based on the knowledge representation and knowledge reasoning, this paper addresses the creation of the multiattribute knowledge base on the basis of hybrid knowledge representation, with the help of object-oriented programming language and relational database. Compared with general knowledge base, multi-attribute knowledge base can enhance the ability of knowledge processing and application;integrate the heterogeneous knowledge, such as model,symbol, case-based sample knowledge; and support the whole decision process by integrated reasoning.
Ziegler, Brittany; Montplaisir, Lisa
Students who lack metacognitive skills can struggle with the learning process. To be effective learners, students should recognize what they know and what they do not know. This study examines the relationship between students' perception of their knowledge and determined knowledge in an upper-level biology course utilizing a pre/posttest…
Corbeil, Allan F.; Hawkins, Linda J.; Gilgallon, Paul F.
This paper describes the Knowledge-Based Tracking (KBT) algorithm for which a real-time flight test demonstration was recently conducted at Rome Air Development Center (RADC). In KBT processing, the radar signal in each resolution cell is thresholded at a lower than normal setting to detect low RCS targets. This lower threshold produces a larger than normal false alarm rate. Therefore, additional signal processing including spectral filtering, CFAR and knowledge-based acceptance testing are performed to eliminate some of the false alarms. TSC's knowledge-based Track-Before-Detect (TBD) algorithm is then applied to the data from each azimuth sector to detect target tracks. In this algorithm, tentative track templates are formed for each threshold crossing and knowledge-based association rules are applied to the range, Doppler, and azimuth measurements from successive scans. Lastly, an M-association out of N-scan rule is used to declare a detection. This scan-to-scan integration enhances the probability of target detection while maintaining an acceptably low output false alarm rate. For a real-time demonstration of the KBT algorithm, the L-band radar in the Surveillance Laboratory (SL) at RADC was used to illuminate a small Cessna 310 test aircraft. The received radar signal wa digitized and processed by a ST-100 Array Processor and VAX computer network in the lab. The ST-100 performed all of the radar signal processing functions, including Moving Target Indicator (MTI) pulse cancelling, FFT Doppler filtering, and CFAR detection. The VAX computers performed the remaining range-Doppler clustering, beamsplitting and TBD processing functions. The KBT algorithm provided a 9.5 dB improvement relative to single scan performance with a nominal real time delay of less than one second between illumination and display.
Nicoleta Preda; Gjergji Kasneci; Fabian Suchanek; Thomas Neumann; Wenjun Yuan; Gerhard Weikum. Active Knowledge
The proliferation of knowledge-sharing communities and the advances in information extraction have enabled the construction of large knowledge bases using the RDF data model to represent entities and relationships. However, as the Web and its latently embedded facts evolve, a knowledge base can never be complete and up-to-date. On the other hand, a rapidly increasing suite of Web services provide access to timely and high-quality information, but this is encapsulated by the service interface....
Full Text Available Systems biology approaches being applied to animal breeding represent an opportunity to derive greater benefits from animal production systems. The increasingly detailed investigations in systems biology have led to a large amount of data dispersed over various sources; therefore, a centralized knowledge base is in demand. In this study, we have integrated cattle genomics data of heterogeneous sources and types and developed a bioinformatics tool to study genotype-phenotype associations in cattle: http://integromics-time.com/integromics-database/. The tool enables revealing genomic overlaps within trait-associated loci and identification of potential functional candidates. It might be also used as a tool for planning genotype– phenotype research in cattle.
Che, Haiyan; Chen, Wei; Feng, Tie; Zhang, Jiachen
Merging new instance knowledge extracted from the Web according to certain domain ontology into the knowledge base (KB for short) is essential for the knowledge management and should be processed carefully, since this may introduce redundant or contradictory knowledge, and the quality of the knowledge in the KB, which is very important for a knowledge-based system to provide users high quality services, will suffer from such "bad" knowledge. Advocates a property restriction based knowledge merging method, it can identify the equivalent instances, redundant or contradictory knowledge according to the property restrictions defined in the domain ontology and can consolidate the knowledge about equivalent instances and discard the redundancy and conflict to keep the KB compact and consistent. This knowledge merging method has been used in a semantic-based search engine project: CRAB and the effect is satisfactory.
The aim of this paper is to emphasize the importance of knowledge based economy, in this time characterized by fast changes and sometimes radical changes, it is impossible to resist without adapting, both people and the organizations too. The matter of the paper develops knowledge based economy concept: elements, definitions of the knowledge based economy, stages and the main knowledge codification. In the end of the paper, the author presents the importance of economy knowledge, in Romanian ...
Alabed, Asmaa; Chen, Xun
The aim of the research is to facilitate knowledge management process for grinding technology by building a flexible and easy to use web-based knowledge warehouse (Web-KW), which could manage both explicit and tacit knowledge. The objectives are to design and develop the following modules: • Date Interface (DIM) • Database (DBM) • Problem Solving (PSM) • Learning Knowledge Discovery (LKDM) • Knowledge warehouse (KWM) • Knowledge Analysis (KAM).
The quest to measure knowledge effectively will in no doubt lead to better knowledge policies of governments around the world in both developing and developed countries. This paper endeavours to seta sound theoretical base for measuring knowledge and does this by demonstrating that existing tools used by economists for measuring knowledge are largely self contradictory, they contradict existing theory. Knowledge to be measured effectively we must give knowledge its own units like weight and l...
Tikidjian, Raffi; James, Mark; Mackey, Ryan
The SharpKBE software provides a graphical user interface environment for domain experts to build and manage knowledge base systems. Knowledge bases can be exported/translated to various target languages automatically, including customizable target languages.
D'Aquin, Mathieu; Badra, Fadi; Lafrogne, Sandrine; Lieber, Jean; Napoli, Amedeo; Szathmary, Laszlo
In case-based reasoning, the adaptation step depends in general on domain-dependent knowledge, which motivates studies on adaptation knowledge acquisition (AKA). CABAMAKA is an AKA system based on principles of knowledge discovery from databases. This system explores the variations within the case base to elicit adaptation knowledge. It has been successfully tested in an application of case-based decision support to breast cancer treatment.
Beyen Teresa Kisi
Full Text Available Abstract Background Several health hazards including communicable diseases and skin conditions are associated with Barbers’ profession to which their visitors are exposed. Thus, knowledge and practice of Barbers would play a vital part in prevention and control of these health hazards. So, the aim of this study is to assess knowledge and practice, and associated factors among barbers about biological hazards associated with their profession in Gondar town, North West Ethiopia. Methods To assess knowledge and practice, and associated factors among barbers about biological hazards associated with their profession in Gondar town, North West Ethiopia, A work place based cross-sectional study was conducted from March 28 to April 6, 2012. The total numbers of Barbers in the town were 960 of which 400 Barbers were participated in the study. Sample size was determined using the formula for single population proportion by considering, 51% proportion, knowledgeable Barbers from Jimma, Ethiopia, 95% level of confidence, 5% margin of error and 15% none response rate. The numbers of barbers included in the study were selected by using systematic random sampling. Data was collected by face to face interview using a structured and pre-tested questionnaire. Binary and multivariate logistic regression analyses were conducted to identify factors associated with knowledge and practice of barbers. Results Of 400 barbers, only 72 (18% had good knowledge about biological hazards associated to their profession, While only 61 (15.3% were practicing safely during barbering. Knowledge of the barbers was associated significantly with educational level, owner of the business, working hour and work experience, while practice was associated only with availability of UV sterilizers in the room and working hour. Conclusion Barbers’ practice and knowledge to prevent biological hazards associated with their profession is very poor. Thus, giving training for the Barbers is
In the context of contemporary economy logistics changes refer to the emergence of new inter-organizational logistics structures such as logistics networks, and to a number of alterations in organizations’ vision and conduct regarding the role and importance of knowledge. The research focuses on identifying the instruments promoting inter-organizational knowledge transfer within logistics networks provided that each organization relies on its own knowledge and organizational skills to ensure ...
Wu, Chuan-lin; Hung, Chaw-Kwei; Stedry, Steven P.; McClure, James P.; Yeh, Show-Way
An expert system is being implemented for enhancing operability of the Ground Communication Facility (GCF) of Jet Propulsion Laboratory's (JPL) Deep Space Network (DSN). The DSN is a tracking network for all of JPL's spacecraft plus a subset of spacecrafts launched by other NASA centers. A GCF upgrade task is set to replace the current GCF aging system with new, modern equipments which are capable of using knowledge-based monitor and control approach. The expert system, implemented in terms of KEE and SUN workstation, is used for performing network fault management, configuration management, and performance management in real-time. Monitor data are collected from each processor and DSCC's in every five seconds. In addition to serving as input parameters of the expert system, extracted management information is used to update a management information database. For the monitor and control purpose, software of each processor is divided into layers following the OSI standard. Each layer is modeled as a finite state machine. A System Management Application Process (SMAP) is implemented at application layer, which coordinates layer managers of the same processor and communicates with peer SMAPs of other processors. The expert system will be tuned by augmenting the production rules as the operation is going on, and its performance will be measured.
Cheng, Jill; Cline, Melissa; Martin, John; Finkelstein, David; Awad, Tarif; Kulp, David; Siani-Rose, Michael A
We have developed an algorithm for inferring the degree of similarity between genes by using the graph-based structure of Gene Ontology (GO). We applied this knowledge-based similarity metric to a clique-finding algorithm for detecting sets of related genes with biological classifications. We also combined it with an expression-based distance metric to produce a co-cluster analysis, which accentuates genes with both similar expression profiles and similar biological characteristics and identifies gene clusters that are more stable and biologically meaningful. These algorithms are demonstrated in the analysis of MPRO cell differentiation time series experiments. PMID:15468759
Hall, William P.
Purpose: To develop a biological approach to the analysis of learning organisations based on complexity theory, autopoiesis, and evolutionary epistemology. Design/methodology/approach: This paper synthesises ideas from disciplines ranging from physics, epistemology and philosophy of science to military affairs, to sketch a scientific framework in…
Full Text Available The aim of this paper is to emphasize the importance of knowledgebased economy, in this time characterized by fast changes and sometimes radical changes, it is impossible to resist without adapting, both people and the organizations too. The matter of the paper develops knowledge based economy concept: elements, definitions of the knowledge based economy, stages and themain knowledge codification. In the end of the paper, the author presents the importance of economy knowledge, in Romanian organizations.
Hill, Kathleen M.
To address the need of scientists and engineers in the United States workforce and ensure that students in higher education become scientifically literate, research and policy has called for improvements in undergraduate education in the sciences. One particular pathway for improving undergraduate education in the science fields is to reform undergraduate teaching. Only a limited number of studies have explored the pedagogical content knowledge of postsecondary level teachers. This study was conducted to characterize the PCK of biology faculty and explore the factors influencing their PCK. Data included semi-structured interviews, classroom observations, documents, and instructional artifacts. A qualitative inquiry was designed to conduct an in-depth investigation focusing on the PCK of six biology instructors, particularly the types of knowledge they used for teaching biology, their perceptions of teaching, and the social interactions and experiences that influenced their PCK. The findings of this study reveal that the PCK of the biology faculty included eight domains of knowledge: (1) content, (2) context, (3) learners and learning, (4) curriculum, (5) instructional strategies, (6) representations of biology, (7) assessment, and (8) building rapport with students. Three categories of faculty PCK emerged: (1) PCK as an expert explainer, (2) PCK as an instructional architect, and (3) a transitional PCK, which fell between the two prior categories. Based on the interpretations of the data, four social interactions and experiences were found to influence biology faculty PCK: (1) teaching experience, (2) models and mentors, (3) collaborations about teaching, and (4) science education research. The varying teaching perspectives of the faculty also influenced their PCK. This study shows that the PCK of biology faculty for teaching large introductory courses at large research institutions is heavily influenced by factors beyond simply years of teaching experience and
Full Text Available Healthcare organizations are increasingly choosing the Knowledge Management Systems for clinical use, which have been established in technical support organizations for several years. Technical support organization can make use of its Knowledge Management System to meets its customer needs using its infrastructure and established processes. Success of Knowledge Management System in a healthcare organization mainly depends on the practice of healthcare professionals. Knowledge acquisition is very vital in healthcare than the application in technical support. The aim is to provide efficient access to heterogeneous biological textual data and databases, enabling users to integrate a wide range of textual and non-textual resources effortlessly. The main objective of the system is to make easier knowledge acquisition through query answering against XML-based documents in Healthcare specifically in the domain of molecular biology.
Hadjichambis, Andreas Ch.; Georgiou, Yiannis; Paraskeva-Hadjichambi, Demetra; Kyza, Eleni A.; Mappouras, Demetrios
Despite the importance of understanding how the human reproductive system works, adolescents worldwide exhibit weak conceptual understanding, which leads to serious risks, such as unwanted pregnancies and sexually transmitted diseases. Studies focusing on the development and evaluation of inquiry-based learning interventions, promoting the…
Squillario, Margherita; Barbieri, Matteo; Verri, Alessandro; Barla, Annalisa
Biological interpretability is a key requirement for the output of microarray data analysis pipelines. The most used pipeline first identifies a gene signature from the acquired measurements and then uses gene enrichment analysis as a tool for functionally characterizing the obtained results. Recently Knowledge Driven Variable Selection (KDVS), an alternative approach which performs both steps at the same time, has been proposed. In this paper, we assess the effectiveness of KDVS against standard approaches on a Parkinson's Disease (PD) dataset. The presented quantitative analysis is made possible by the construction of a reference list of genes and gene groups associated to PD. Our work shows that KDVS is much more effective than the standard approach in enhancing the interpretability of the obtained results. PMID:27600081
Graciela da Silva Oliveira
Full Text Available The aim of this study was to verify topics of the biological evolution theory Brazilian students affirm to know and their relation with variables such as sex, age, geographical localization, socioeconomical aspects, religion and science. 2.404 high school students (55.1% girls enrolled in 78 Brazilian schools took part of the research. The data was generated through a questionnaire and analyzed using the software Statistical Package for Social Science (SPSS version 18.0. The results point out that the knowledge of topics about evolution is low among students and influenced by the variables tested, the associations identified happened in a diversified way, and in lower or higher intensity according to the context studied.
Nguyen, Dat Quoc; Sirts, Kairit; Qu, Lizhen; Johnson, Mark
Knowledge bases are useful resources for many natural language processing tasks, however, they are far from complete. In this paper, we define a novel entity representation as a mixture of its neighborhood in the knowledge base and apply this technique on TransE-a well-known embedding model for knowledge base completion. Experimental results show that the neighborhood information significantly helps to improve the results of the TransE, leading to better performance than obtained by other sta...
Giovannini, Antonio; Aubry, Alexis; Panetto, Hervé; Dassisti, Michele; El Haouzi, Hind
Today, sustainability becomes one of the biggest challenges. It represents a key issue in every production activity. To face this issue, a possible solution is to enhance knowledge usage in manufacturing and sustainability domains. In this paper, we extend the ONTO-PDM ontology for formalizing sustainable manufacturing knowledge. An industrial case is presented for instantiating the extension. Moreover we design a knowledge-based system, which exploits sustainable manufacturing knowledge for ...
Lanzola, G; Quaglini, S; Stefanelli, M
Knowledge-based systems (KBS) have been proposed to solve a large variety of medical problems. A strategic issue for KBS development and maintenance are the efforts required for both knowledge engineers and domain experts. The proposed solution is building efficient knowledge acquisition (KA) tools. This paper presents a set of KA tools we are developing within a European Project called GAMES II. They have been designed after the formulation of an epistemological model of medical reasoning. The main goal is that of developing a computational framework which allows knowledge engineers and domain experts to interact cooperatively in developing a medical KBS. To this aim, a set of reusable software components is highly recommended. Their design was facilitated by the development of a methodology for KBS construction. It views this process as comprising two activities: the tailoring of the epistemological model to the specific medical task to be executed and the subsequent translation of this model into a computational architecture so that the connections between computational structures and their knowledge level counterparts are maintained. The KA tools we developed are illustrated taking examples from the behavior of a KBS we are building for the management of children with acute myeloid leukemia. PMID:9082135
Knowledge base is the way to store structured and unstructured data throughout the web. Since the size of the web is increasing rapidly, there are huge needs to structure the knowledge in a fully automated way. However fully-automated knowledge-base evolution on the Semantic Web is a major challenges, although there are many ontology evolution techniques available. Therefore learning ontology automatically can contribute to the semantic web society significantly. In this paper, we propose ful...
Perry, C. A.
Efforts to represent knowledge effectively have been central to progress in various aspects of medical informatics. These efforts range from relatively simple "electronic textbooks" to fairly sophisticated knowledge-based systems, which function as well as, or even better than, human experts faced with similar problems. Knowledge bases have been developed in many fields, but the relatively limited domains and structured language of medicine, as well as the importance of information in the pro...
In order to establish the premises of knowledge based economy (KBE) in Romania we have to measure the inputs of knowledge. This study is presenting the stage of transition at knowledge-based economy of Romania by measuring four important indicators: research and development expenditures as percentage of GDP, human resources in science and technology as a share of labor force, the number of patents filled at the European Patent Office or under the European Patent Convention and the volume of h...
D'Aquin, Mathieu; Badra, Fadi; Lafrogne, Sandrine; Lieber, Jean; Napoli, Amedeo; Szathmary, Laszlo
International audience In case-based reasoning, the adaptation of a source case in order to solve the target problem is at the same time crucial and difficult to implement. The reason for this difficulty is that, in general, adaptation strongly depends on domain-dependent knowledge. This fact motivates research on adaptation knowledge acquisition (AKA). This paper presents an approach to AKA based on the principles and techniques of knowledge discovery from databases and data-mining. It is...
In a stable economic environment, the change may be slow, and the organization would have time to react and maintain its competitive advantages. In contrast in a knowledge-based economy, the economic environment changes rapidly and the response is not the best alternative; in order to succeed, the organizations must be proactive, to anticipate, to be directed towards learning and permanently development. The main resource of a knowledge-based company is the knowledge. This company is focused ...
Landström, Hans; Harirchi , Gouya; Åström, Fredrik
Entrepreneurship research has a long tradition and since the 1980s the field has grown significantly. In this study we identify the ‘knowledge producers’ who have shaped the field over time and their core entrepreneurship research works. A unique database consisting of all references in twelve entrepreneurship ‘handbooks’ (or state-of-the-art books) has been developed. The chapters in these handbooks were written by experts within the field, and it can be assumed that the most frequently cite...
Schonborn, Konrad J.; Bogeholz, Susanne
Recent curriculum reform promotes core competencies such as desired "content knowledge" and "communication" for meaningful learning in biology. Understanding in biology is demonstrated when pupils can apply acquired knowledge to new tasks. This process requires the transfer of knowledge and the subordinate process of translation across external…
The maintenance sequences of a knowledge base and their limits are introduced.Some concepts used in knowledge base maintenance,such as new laws,user's rejections,and reconstructions of a knowledge base are defined;the related theorems are proved.A procedure is defined using transition systems;it generates maintenance sequences for a given user's model and a knowledge base.It is proved that all sequences produced by the procedure are convergent,and their limit is the set of true sentences of the model.Some computational aspects of reconstructions are studied.An R-calculus is given to deduce a reconstruction when a knowledge base meets a user's rejection.The work is compared with AGM's theory of belief revision.
Sickel, Aaron J.
The teacher is the most important school-based factor in student learning. Thus, in order to improve student learning, we must examine how teachers learn to teach. My overarching research agenda centers upon K-16 science teacher learning and development. Within this agenda, I conduct studies focused on two strands of research: 1) How teachers learn to teach science using constructivist and inquiry-oriented teaching strategies; and 2) How teachers learn to teach biological evolution. This dissertation merges the two strands together, and consists of four related manuscripts that address how beginning biology teachers learn to teach natural selection using constructivist and inquiry-oriented teaching strategies. In the first manuscript, I reviewed the evolution education literature focused on K-12 teachers’ knowledge, beliefs, and practice for teaching evolution. Based upon findings across the studies, I articulated five goals for preparing teachers to teach evolution. The second and third manuscripts are longitudinal empirical studies focused on three beginning biology teachers learning to teach natural selection using the 5E instructional model and interactive classroom simulations. The fourth manuscript is a practitioner article that explains how to teach natural selection simulations using a constructivist, analogy-based teaching strategy. Findings that cut across the four manuscripts are organized into the following themes: (A) The participants developed some common types of knowledge for teaching natural selection, yet also developed in unique ways. All participants developed knowledge of the horizontal curriculum. Yet, participants also developed different types of knowledge. For example, participants who had taken an evolution course developed more integrated pedagogical content knowledge for teaching the core concepts of natural selection. The participant who integrated discipline-level knowledge for teaching science through inquiry with topic
Full Text Available Nowadays, the world economies are rapidly moving towards being more Knowledge-based Economy (KBE and supporting the force of knowledge as a vital component of economic growth. This recent acceleration in the transition to Knowledge-based Economy in the world, has affected regional economic performance. In this paper, we surveyed the regional convergence in Knowledge-based Economy for selected Asia and pacific countries. We used a growth model in Barro and Sala-i-Martin framework (1995 for the period of 1995-2009. It includes a panel data set consisting of the annual growth rate of GDP per capita for selected Asia and pacific countries and a group of indicators that define the situation of Knowledge-based Economy in countries. The empirical results indicate that the absolute and the conditional convergence are not rejected for selected countries. The investigation on robustness of the model results confirms the existence of regional convergence for studied countries.
Ladislav Burita; Pavel Gardavsky
The article presents the knowledge systems developed by using the software AToM and the experience with their application for teaching and universities cooperation. The theoretical bases of the solution are Topic Maps; the software AToM is described and individual cases of the knowledge systems are introduced. The article reflects the years of experience in the cooperation of the knowledge systems development with the AION CS Company. Two examples are presented in detail: “Conferences” – know...
Cordier, Amélie; Fuchs, Béatrice; Lieber, Jean; Mille, Alain
International audience In Case Based Reasoning (CBR), knowledge acquisition plays an important role as it allows to progressively improve the system's competencies. One of the approaches of knowledge acquisition consists in performing it while the system is used to solve a problem. An advantage of this strategy is that it is not to constraining for the expert: the system exploits its interactions to acquire pieces of knowledge it needs to solve the current problem and takes the opportunity...
Full Text Available Abstract Background Bayesian Network (BN is a powerful approach to reconstructing genetic regulatory networks from gene expression data. However, expression data by itself suffers from high noise and lack of power. Incorporating prior biological knowledge can improve the performance. As each type of prior knowledge on its own may be incomplete or limited by quality issues, integrating multiple sources of prior knowledge to utilize their consensus is desirable. Results We introduce a new method to incorporate the quantitative information from multiple sources of prior knowledge. It first uses the Naïve Bayesian classifier to assess the likelihood of functional linkage between gene pairs based on prior knowledge. In this study we included cocitation in PubMed and schematic similarity in Gene Ontology annotation. A candidate network edge reservoir is then created in which the copy number of each edge is proportional to the estimated likelihood of linkage between the two corresponding genes. In network simulation the Markov Chain Monte Carlo sampling algorithm is adopted, and samples from this reservoir at each iteration to generate new candidate networks. We evaluated the new algorithm using both simulated and real gene expression data including that from a yeast cell cycle and a mouse pancreas development/growth study. Incorporating prior knowledge led to a ~2 fold increase in the number of known transcription regulations recovered, without significant change in false positive rate. In contrast, without the prior knowledge BN modeling is not always better than a random selection, demonstrating the necessity in network modeling to supplement the gene expression data with additional information. Conclusion our new development provides a statistical means to utilize the quantitative information in prior biological knowledge in the BN modeling of gene expression data, which significantly improves the performance.
Capraro, Gerard T.; Wicks, Michael C.
An airborne ground looking radar sensor's performance may be enhanced by selecting algorithms adaptively as the environment changes. A short description of an airborne intelligent radar system (AIRS) is presented with a description of the knowledge based filter and detection portions. A second level of artificial intelligence (AI) processing is presented that monitors, tests, and learns how to improve and control the first level. This approach is based upon metacognition, a way forward for developing knowledge based systems.
Presents a model for knowledge bases for teaching that will act as a mental map for understanding the complexity of teachers' professional knowledge. Describes the sources and evolution of the model, explains how the model functions in practice, and provides an illustration using an example of teaching in history. (CMK)
Wu Xiaofan; Zhou Liang; Zhang Lei; Li Lingzhi; Ding Qiulin
Based on topic maps, a preprocessing scheme using similarity comparision is presented and applied in knowledge management.Topic and occurrence-oriented merging algorithm is also introduced to implement knowledge integration for the sub-system. An Omnigator-supported example from an aeroaustic institute is utilised to validate the preprocessing method and the result indicates it can speed up the research schedule.
DCSP (Distributed Constraint Satisfaction Problem) has been a very important research area in AI (Artificial Intelligence). There are many application problems in distributed AI that can be formalized as DSCPs. With the increasing complexity and problem size of the application problems in AI, the required storage place in searching and the average searching time are increasing too. Thus, to use a limited storage place efficiently in solving DCSP becomes a very important problem, and it can help to reduce searching time as well. This paper provides an efficient knowledge base management approach based on general usage of hyper-resolution-rule in consistence algorithm. The approach minimizes the increasing of the knowledge base by eliminate sufficient constraint and false nogood. These eliminations do not change the completeness of the original knowledge base increased. The proofs are given as well. The example shows that this approach decrease both the new nogoods generated and the knowledge base greatly. Thus...
Full Text Available The article presents the knowledge systems developed by using the software AToM and the experience with their application for teaching and universities cooperation. The theoretical bases of the solution are Topic Maps; the software AToM is described and individual cases of the knowledge systems are introduced. The article reflects the years of experience in the cooperation of the knowledge systems development with the AION CS Company. Two examples are presented in detail: “Conferences” – knowledge system used for education and “MilUNI” –system for military universities cooperation.
Full Text Available At present, many large enterprises, like oil industry accumulated a large amount of data with a range of potential value of knowledge in their value activities over the years. How to help them to put these data into wealth are common problems faced by IT industry and academia. This study analyzed the five key problems of big data processing and knowledge management in-depth and then explained the composition and technical characteristics of knowledge management system based on big data processing. It explored the new approach of knowledge management which can adapt to the ever-change demands of enterprises.
Biology is the science of life and living organisms. Empowered by the deployment of several automated experimental frameworks, this discipline has seen a tremendous growth during the last decades. Recently, the focus towards studying biological systems holistically, has lead to biology converging with other disciplines. In particular, computer science is playing an increasingly important role in biology, because of its ability to disentangle complex system level issues. This increasing inter...
This paper develops an inconsistency measure on conditional probabilistic knowledge bases. The measure is based on fundamental principles for inconsistency measures and thus provides a solid theoretical framework for the treatment of inconsistencies in probabilistic expert systems. We illustrate its usefulness and immediate application on several examples and present some formal results. Building on this measure we use the Shapley value-a well-known solution for coalition games-to define a sophisticated indicator that is not only able to measure inconsistencies but to reveal the causes of inconsistencies in the knowledge base. Altogether these tools guide the knowledge engineer in his aim to restore consistency and therefore enable him to build a consistent and usable knowledge base that can be employed in probabilistic expert systems.
D'Aquin, Mathieu; Lafrogne, Sandrine; Lieber, Jean; Napoli, Amedeo; Szathmary, Laszlo
In case-based reasoning, the adaptation of a source case in order to solve the target problem is at the same time crucial and difficult to implement. The reason for this difficulty is that, in general, adaptation strongly depends on domain-dependent knowledge. This fact motivates research on adaptation knowledge acquisition (AKA). This paper presents an approach to AKA based on the principles and techniques of knowledge discovery from databases and data-mining. It is implemented in CABAMAKA, a system that explores the variations within the case base to elicit adaptation knowledge. This system has been successfully tested in an application of case-based reasoning to decision support in the domain of breast cancer treatment.
LI Ji-yun; GENG Zhao-feng; SHAO Shi-huang
A novel DNA coding based knowledge discovery algorithm was proposed, an example which verified its validity was given. It is proved that this algorithm can discover new simplified rules from the original rule set efficiently.
Davis, Stan; Botkin, Jim
Economic growth will come from knowledge-based businesses whose "smart" products filter and interpret information. Businesses will come to think of themselves as educators and their customers as learners. (SK)
Viorel Cornescu; Vladimir-Codrin Ionescu
It is now widely recognized that the cultural model of an organization affects its economic performance and social determinant. In this context, the paper presents a representative number of conceptual approaches on organizational culture and defines the possible actions to reshape its management within the firm based on knowledge. Also, the paper outlined the priorities of modern management firms, based on knowledge within the organizational culture, which may cause design and operationaliza...
陆汝钤; 石纯一; 张松懋; 毛希平; 徐晋晖; 杨萍; 范路
Common sense processing has been the key difficulty in Al community. Through analyzing various research methods on common sense, a large-scale agent-oriented commonsense knowledge base is described in this paper. We propose a new type of agent——CBS agent, specify common sense oriented semantic network descriptive language-Csnet, augment Prolog for common sense, analyze the ontology structure, and give the execution mechanism of the knowledge base.
Michael L. Doll; Gerald Hendrickson; Gerard Lagos; Russell Pylkki; Chris Christensen; Charlie Cureija
This report will discuss issues relevant to Insulating Glass (IG) durability performance by presenting the observations and developed conclusions in a logical sequential format. This concluding effort discusses Phase II activities and focuses on beginning to quantifying IG durability issues while continuing the approach presented in the Phase I activities (Appendix 1) which discuss a qualitative assessment of durability issues. Phase II developed a focus around two specific IG design classes previously presented in Phase I of this project. The typical box spacer and thermoplastic spacer design including their Failure Modes and Effect Analysis (FMEA) and Fault Tree diagrams were chosen to address two currently used IG design options with varying components and failure modes. The system failures occur due to failures of components or their interfaces. Efforts to begin quantifying the durability issues focused on the development and delivery of an included computer based IG durability simulation program. The focus/effort to deliver the foundation for a comprehensive IG durability simulation tool is necessary to address advancements needed to meet current and future building envelope energy performance goals. This need is based upon the current lack of IG field failure data and the lengthy field observation time necessary for this data collection. Ultimately, the simulation program is intended to be used by designers throughout the current and future industry supply chain. Its use is intended to advance IG durability as expectations grow around energy conservation and with the growth of embedded technologies as required to meet energy needs. In addition the tool has the immediate benefit of providing insight for research and improvement prioritization. Included in the simulation model presentation are elements and/or methods to address IG materials, design, process, quality, induced stress (environmental and other factors), validation, etc. In addition, acquired data
Großschedl, Jörg; Mahler, Daniela; Kleickmann, Thilo; Harms, Ute
Teachers' content-related knowledge is a key factor influencing the learning progress of students. Different models of content-related knowledge have been proposed by educational researchers; most of them take into account three categories: content knowledge, pedagogical content knowledge, and curricular knowledge. As there is no consensus about the empirical separability (i.e. empirical structure) of content-related knowledge yet, a total of 134 biology teachers from secondary schools completed three tests which were to capture each of the three categories of content-related knowledge. The empirical structure of content-related knowledge was analyzed by Rasch analysis, which suggests content-related knowledge to be composed of (1) content knowledge, (2) pedagogical content knowledge, and (3) curricular knowledge. Pedagogical content knowledge and curricular knowledge are highly related (rlatent = .70). The latent correlations between content knowledge and pedagogical content knowledge (rlatent = .48)-and curricular knowledge, respectively (rlatent = .35)-are moderate to low (all ps pedagogical content knowledge, and curricular knowledge acquisition. Our results show that an in-depth training in teacher education, professional development, and teacher self-study are positively related to particular categories of content-related knowledge. Furthermore, our results indicate that teaching experience is negatively related to curricular knowledge, compared to no significant relationship with content knowledge and pedagogical content knowledge.
Full Text Available The knowledge-based society is the stage where mankind is found and aims to raise the living standards of population but also to increase the level of knowledge. To achieve this latter goal, the states of the world, and especially those in the European Union, must ensure an adequate funding for its realization, and therefore in 2011 it was decided at EU level the achievement of an Innovation Union, in which are to be involved all the European countries, while to stimulate and finance research and innovation the Horizon 2020 program was proposed. The results of the Program, an ”Innovation Union” have begun to be felt, so in 2011, the major companies headquartered in the European Union increased their investments in R&D by 8.9% compared to 6.1% in 2010. This increase was almost equal to that of the U.S.A. companies (9%, higher than the world average (7.6% and superior to Japanese companies (1.5%. The sectors that used the research-development activity have tended to have increases in employment above average. I believe this information highlights the fact that the European Union may become attractive for research-development and innovation investments even for businesses outside the UE, and this can result in jobs creation and increasing competitivenees of this field of the states of the European Union. In the introductory part of the article, I have briefly presented general notions of the three component activities of the ”knowledge triangle”, in the second part I presented the knowledge society with several features, in the third part, I showed some provisions of the program to stimulate research and innovation Horizon 2020, in the fourth part, I presented an innovation activity connection to private enterprise and entrepreneurial initiative stimulation in the field innovation, and the conclusions shows that research does not stop with achieving the objectives and finding the outcomes research, but is it the background for further
ZHANG Shijie; SONG Laigang
Viorel Lefter; Constantin Brătianu; Adriana Agapie; Simona Agoston; Ivona Orzea
In the immediate future, intergenerational knowledge transfer is one of the knowledge-based economy’s main challenges since an inner motivational force powers knowledge transfer. Knowledge transfer from individuals to groups and organization must follow knowledge creation in order to transform individual into organizational knowledge, along the epistemological dimension of the Nonaka’s knowledge dynamics model. Moreover, the knowledge intensive organizations increase their fluxes of knowledge...
The construction of oceanographic ontologies is fundamental to the "digital ocean". Therefore, on the basis of introduction of new concept of oceanographic ontology, an oceanographic ontology-based spatial knowledge query (OOBSKQ) method was proposed and developed. Because the method uses a natural language to describe query conditions and the query result is highly integrated knowledge,it can provide users with direct answers while hiding the complicated computation and reasoning processes, and achieves intelligent,automatic oceanographic spatial information query on the level of knowledge and semantics. A case study of resource and environmental application in bay has shown the implementation process of the method and its feasibility and usefulness.
High-tech industry has been stimulating economic development, providing the market with innovative information and communication technologies. Some of these include mobile technologies, mainly associated with the use of Smartphones and tablets. Mobile devices run various types of software called applications. The purpose of this article is to evaluate a selection of Polish mobile applications in the context of their features typical for knowledge-based products. Such products carry knowledge ...
Nasution, Mahyuddin K. M.
Optimization has been becoming a central of studies in mathematic and has many areas with different applications. However, many themes of optimization came from different area have not ties closing to origin concepts. This paper is to address some variants of optimization problems using ontology in order to building basic of knowledge about optimization, and then using it to enhance strategy to achieve knowledge based optimization.
Europe is developing its “knowledge society”. It passes from an economy based on traditional factors of production (land, labor, capital) to one in which the major components are information and knowledge. It is well known that the socio-economical and technological development has an important impact on the labor market in developed nations. So, more skills are needed and a flexible and dynamic labor supply. Nowadays, developed and developing nations are increasingly able to deliver high ski...
Ramona – Diana Leon; Adrian Lupu; Anca – Codruta Manolache
Increasingly more literature mention that in the current competitive environment, knowledge have become the main source of the competitive advantages, while recent researches regarding economic growth and development have defined knowledge as being the most critical resource of the emerging countries. Therefore, the organizations interest for knowledge has increased, the latter being defined as knowledge management process in order to meet existing needs, to identify and exploit existing and/...
In the paper to be given a special process diagnostic system (PDS) will be presented, taking into account corresponding user experiences. It must be seen the result of a long term work on computerized process surveillance and control on NPP; it includes a model based system for noise analysis of mechanical vibrations, which has been enhanced by using of knowledge based technique (expert systems). The paper will discuss the process diagnostic frame concept and emphasize the vibration analysis expertsystem RADEX, with the parts modelling (building a knowledge base), man-machine communication aspects, implementation. (author). 5 refs, 5 figs
Stanton, W. M.; Tang, P. C.
We describe knowledge-based support for a Physician's Workstation prototype. Our knowledge base uses a qualitative simulation model of patient physiology. We present the motivation behind our design, discuss the components of the knowledge base, and show how the knowledge base supports a physician's workstation in the patient management process. We describe a graphical knowledge base editor used by the domain expert for knowledge acquisition, and a graphical knowledge base presenter which mon...
Huuskonen, P.J. [VTT Electronics, Oulu (Finland). Embedded Software
This thesis deals with computer explanation of knowledge related to design and operation of industrial plants. The needs for explanation are motivated through case studies and literature reviews. A general framework for analysing plant explanations is presented. Prototypes demonstrate key mechanisms for implementing parts of the framework. Power plants, steel mills, paper factories, and high energy physics control systems are studied to set requirements for explanation. The main problems are seen to be either lack or abundance of information. Design knowledge in particular is found missing at plants. Support systems and automation should be enhanced with ways to explain plant knowledge to the plant staff. A framework is formulated for analysing explanations of plant knowledge. It consists of three parts: 1. a typology of explanation, organised by the class of knowledge (factual, functional, or strategic) and by the target of explanation (processes, automation, or support systems), 2. an identification of explanation tasks generic for the plant domain, and 3. an identification of essential model types for explanation (structural, behavioural, functional, and teleological). The tasks use the models to create the explanations of the given classes. Key mechanisms are discussed to implement the generic explanation tasks. Knowledge representations based on objects and their relations form a vocabulary to model and present plant knowledge. A particular class of models, means-end models, are used to explain plant knowledge. Explanations are generated through searches in the models. Hypertext is adopted to communicate explanations over dialogue based on context. The results are demonstrated in prototypes. The VICE prototype explains the reasoning of an expert system for diagnosis of rotating machines at power plants. The Justifier prototype explains design knowledge obtained from an object-oriented plant design tool. Enhanced access mechanisms into on-line documentation are
Verification is a process aimed at demonstrating whether a system meets it's specified requirements. As expert systems are used in various applications, the knowledge base verification of systems takes an importatn position. The conventional Petri net approach that has been studied recently in order to verify the knowledge base is found that it is inadequate to verify the knowledge base of large and complex system, such as alarm processing system of nuclear power plant. Thus, we propose an improved method that models the knowledge base as enhanced colored Petri net. In this study, we analyze the reachability and the error characteristics of the knowledge base and apply the method to verification of simple knowledge base
Kim, Jong Hyun; Seong, Poong Hyun [Korea Advanced Institute of Science and Technology, Taejon (Korea, Republic of)
Verification is a process aimed at demonstrating whether a system meets it`s specified requirements. As expert systems are used in various applications, the knowledge base verification of systems takes an important position. The conventional Petri net approach that has been studied recently in order to verify the knowledge base is found that it is inadequate to verify the knowledge base of large and complex system, such as alarm processing system of nuclear power plant. Thus, we propose an improved method that models the knowledge base as enhanced colored Petri net. In this study, we analyze the reachability and the error characteristics of the knowledge base and apply the method to verification of simple knowledge base. 8 refs., 4 figs. (Author)
Ramona – Diana Leon
Full Text Available Increasingly more literature mention that in the current competitive environment, knowledge have become the main source of the competitive advantages, while recent researches regarding economic growth and development have defined knowledge as being the most critical resource of the emerging countries.Therefore, the organizations interest for knowledge has increased, the latter being defined as knowledge management process in order to meet existing needs, to identify and exploit existing and/or acquired knowledge and developing new opportunities.In other words, knowledge management facilitates productive information usage, intelligence growth, storing intellectual capital, strategic planning, flexible acquisition, collection of best practices, increasing the likelihood of being successful as well as a more productive collaboration within the company.In order to benefit from all these advantages, it is required the usage of specific tools including models and systems to stimulate the creation, dissemination and use of knowledge held by each employee and the organization as a whole.
An Optimization-Based Framework for the Transformation of Incomplete Biological Knowledge into a Probabilistic Structure and Its Application to the Utilization of Gene/Protein Signaling Pathways in Discrete Phenotype Classification.
Esfahani, Mohammad Shahrokh; Dougherty, Edward R
Phenotype classification via genomic data is hampered by small sample sizes that negatively impact classifier design. Utilization of prior biological knowledge in conjunction with training data can improve both classifier design and error estimation via the construction of the optimal Bayesian classifier. In the genomic setting, gene/protein signaling pathways provide a key source of biological knowledge. Although these pathways are neither complete, nor regulatory, with no timing associated with them, they are capable of constraining the set of possible models representing the underlying interaction between molecules. The aim of this paper is to provide a framework and the mathematical tools to transform signaling pathways to prior probabilities governing uncertainty classes of feature-label distributions used in classifier design. Structural motifs extracted from the signaling pathways are mapped to a set of constraints on a prior probability on a Multinomial distribution. Being the conjugate prior for the Multinomial distribution, we propose optimization paradigms to estimate the parameters of a Dirichlet distribution in the Bayesian setting. The performance of the proposed methods is tested on two widely studied pathways: mammalian cell cycle and a p53 pathway model. PMID:26671803
Tokuda, T; Jaakkola, H
Because of our ever increasing use of and reliance on technology and information systems, information modelling and knowledge bases continue to be important topics in those academic communities concerned with data handling and computer science. As the information itself becomes more complex, so do the levels of abstraction and the databases themselves. This book is part of the series Information Modelling and Knowledge Bases, which concentrates on a variety of themes in the important domains of conceptual modeling, design and specification of information systems, multimedia information modelin
LUAN Shangmin; DAI Guozhong; LI Wei
This paper presents a programmable approach to revising knowledge bases consisting of clauses. Some theorems and lemmas are shown in order to give procedures for generating maximally consistent subsets. Then a complete procedure and an incomplete procedure for generating the maximal consistent subsets are presented, and the correctness of the procedures is also shown. Furthermore, a way to implement knowledge base revision is presented, and a prototype system is introduced. Compared with related works, the main characteristic of our approach is that the approach can be implemented by a computer program.
Fredlund, Per Kristen
The goal of this thesis has been to investigate if it is possible to develop a knowledge structure,knowledge base, based on learning objects. In this connection a learning object is a digital unitwhich should, as a minimum, contain a picture and some text. Most likely a learning objectwould function as a container with anchors for video, animations and links to html-pages.For every learning object there exists a textual description. If we consider the learning object asan overhead presented i...
The basic aim of our study is to give a possible model for handling uncertain information. This model is worked out in the framework of DATALOG. At first the concept of fuzzy Datalog will be summarized, then its extensions for intuitionistic- and interval-valued fuzzy logic is given and the concept of bipolar fuzzy Datalog is introduced. Based on these ideas the concept of multivalued knowledge-base will be defined as a quadruple of any background knowledge; a deduction mechanism; a connecting algorithm, and a function set of the program, which help us to determine the uncertainty levels of the results. At last a possible evaluation strategy is given.
Gabriel Burstein; Constantin Virgil Negoita
Using the Kabbalah system theory (KST) developed in , , we propose an ontological engineering for knowledge representation of domains in terms of concept systems in knowledge based systems in artificial intelligence. KST is also used for the knowledge engineering of the knowledge model building based on ontology. KST provides thus an integrative, unifying, domain independent framework for both the knowledge representation via ontologies and knowledge model building via knowledge enginee...
To solve the Imperfect Theory Problem(ITP)faced by Explanation Based Generalization(EBG),this paper proposes a methodology,Deep Knowledge Based Learning Methodology(DKBLM)by name and gives an implementation of DKBLM,called Hierarchically Distributed Learning System(HDLS).As an example of HDLS's application,this paper shows a learning system(MLS)in meteorology domain and its running with a simplified example.DKBLM can acquire experiential knowledge with causality in it.It is applicable to those kinds of domains,in which experiments are relatively difficults to caryy out,and in which there exist many available knowledge systems at different levels for the same domain(such as weather forecasting).
Genuardi, Michael T.
One strategy for machine-aided indexing (MAI) is to provide a concept-level analysis of the textual elements of documents or document abstracts. In such systems, natural-language phrases are analyzed in order to identify and classify concepts related to a particular subject domain. The overall performance of these MAI systems is largely dependent on the quality and comprehensiveness of their knowledge bases. These knowledge bases function to (1) define the relations between a controlled indexing vocabulary and natural language expressions; (2) provide a simple mechanism for disambiguation and the determination of relevancy; and (3) allow the extension of concept-hierarchical structure to all elements of the knowledge file. After a brief description of the NASA Machine-Aided Indexing system, concerns related to the development and maintenance of MAI knowledge bases are discussed. Particular emphasis is given to statistically-based text analysis tools designed to aid the knowledge base developer. One such tool, the Knowledge Base Building (KBB) program, presents the domain expert with a well-filtered list of synonyms and conceptually-related phrases for each thesaurus concept. Another tool, the Knowledge Base Maintenance (KBM) program, functions to identify areas of the knowledge base affected by changes in the conceptual domain (for example, the addition of a new thesaurus term). An alternate use of the KBM as an aid in thesaurus construction is also discussed.
Full Text Available Humans are characterized by an extreme dependence on culturally transmitted information and recent formal theory predicts that natural selection should favour adaptive learning strategies that facilitate effective use of social information in decision making. One strategy that has attracted particular attention is conformist transmission, defined as the disproportionately likely adoption of the most common variant. Conformity has historically been emphasized as significant in the social psychology literature, and recently there have also been reports of conformist behaviour in nonhuman animals. However, mathematical analyses differ in how important and widespread they expect conformity to be, and relevant experimental work is scarce, and generates findings that are both mutually contradictory and inconsistent with the predictions of the models. We review the relevant literature considering the causation, function, history and ontogeny of conformity and describe a computer-based experiment on human subjects that we carried out in order to resolve ambiguities. We found that only when many demonstrators were available and subjects were uncertain was subject behaviour conformist. A further analysis found that the underlying response to social information alone was generally conformist. Thus, our data are consistent with a conformist use of social information, but as subject’s behaviour is the result of both social and asocial influences, the resultant behaviour may not be conformist. We end by relating these findings to an embryonic cognitive neuroscience literature that has recently begun to explore the neural bases of social learning. Here conformist transmission may be a particularly useful case study, not only because there are well-defined and tractable opportunities to characterize the biological underpinnings of this form of social learning, but also because early findings imply that humans may possess specific cognitive adaptations for
The paper presents some of the results from a recent completed Ph.D. program about disciplinarity and inter-disciplinarity in problem based learning (PBL). Disciplinary content in PBL-programs has been questioned during recent years, so stronger concepts of how knowledge is actually organized and...... types constitute certain ‘modalities’ of transversality. Two educational contexts, Nursing and Constructing Architect education, have been used as a case study research in order to demonstrate how institutional practices show different modalities of transversal knowledge in their PBL-courses. For the...
Adam P. Henne
Full Text Available Conservation biology and environmental anthropology are disciplines that are both concerned with the identification and preservation of diversity, in one case biological and in the other cultural. Both conservation biology and the study of traditional ecoloigcal knowledge function at the nexus of the social and natural worlds, yet historically there have been major impediments to integrating the two. Here we identify linguistic, cultural, and epistemological barriers between the two disciplines. We argue that the two disciplines are uniquely positioned to inform each other and to provide critical insights and new perspectives on the way these sciences are practiced. We conclude by synthesizing common themes found in conservation success stories, and by making several suggestions on integration. These include cross-disciplinary publication, expanding memberships in professional societies and conducting multidisciplinary research based on similar interests in ecological process, taxonomy, or geography. Finally, we argue that extinction threats, be they biological or cultural/linguistic are imminent, and that by bringing these disciplines together we may be able to forge synergistic conservation programs capable of protecting the vivid splendor of life on Earth.
Jain, Lakhmi; Watada, Junzo; Howlett, Robert
This book contains innovative research from leading researchers who presented their work at the 17th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2013, held in Kitakyusha, Japan, in September 2013. The conference provided a competitive field of 236 contributors, from which 38 authors expanded their contributions and only 21 published. A plethora of techniques and innovative applications are represented within this volume. The chapters are organized using four themes. These topics include: data mining, knowledge management, advanced information processes and system modelling applications. Each topic contains multiple contributions and many offer case studies or innovative examples. Anyone that wants to work with information repositories or process knowledge should consider reading one or more chapters focused on their technique of choice. They may also benefit from reading other chapters to assess if an alternative technique represents a more suitable app...
C. W. du Toit
Full Text Available It would appear that the epistemological tradition of the West is culminating in the present science-religion debate. The evolutionary model is being used increasingly in different disciplines as a guideline to understand humans and their action in the world. The struggle for explaining the action of God has shifted from the world of history and texts to the invisible level of quantum physics and molecular biology. It seems that levels of indeterminacy in quantum mechanics and autopoietic systems offer space to explain the action of God. On the human level integrity is sought by linking the highest level of consciousness and rationality to the very basic level of molecular and genetic structures. These issues are dealt with and specific attention is given to autopoietic systems and the biological roots of rationality.
Confirming the well known thesis knowledge is power, A. Toffler argued that the knowledge based society represents the acme of the human society development and P. Drucker said that the developed countries passing through the knowledge based society represents the biggest change of the modern world. That made possible and helped the emerging of the managerial revolution (defined as knowledge applied to knowledge itself) at the firm’s level. Under these circumstances, knowledge has to be seen ...
This thesis reports on a design research project about a learning, supervising and teaching strategy to enable students in agricultural preparatory vocational secondary education (VMBO) to recognize the functionality of biological knowledge of reproduction in work placement sites. Although biological knowledge can be functionally used in many work placement sites it is not evident that students recognize that this is the case. Workplace characteristics, participation in work actions and workp...
James, Mark; Mackey, Ryan; Tikidjian, Raffi
The SHINE Knowledge Base Interchange Language software has been designed to more efficiently send new knowledge bases to spacecraft that have been embedded with the Spacecraft Health Inference Engine (SHINE) tool. The intention of the behavioral model is to capture most of the information generally associated with a spacecraft functional model, while specifically addressing the needs of execution within SHINE and Livingstone. As such, it has some constructs that are based on one or the other.
Full Text Available Finding appropriate evidence to support clinical practices is always challenging, and the construction of a query to retrieve such evidence is a fundamental step. Typically, evidence is found using manual or semi-automatic methods, which are time-consuming and sometimes make it difficult to construct knowledge-based complex queries. To overcome the difficulty in constructing knowledge-based complex queries, we utilized the knowledge base (KB of the clinical decision support system (CDSS, which has the potential to provide sufficient contextual information. To automatically construct knowledge-based complex queries, we designed methods to parse rule structure in KB of CDSS in order to determine an executable path and extract the terms by parsing the control structures and logic connectives used in the logic. The automatically constructed knowledge-based complex queries were executed on the PubMed search service to evaluate the results on the reduction of retrieved citations with high relevance. The average number of citations was reduced from 56,249 citations to 330 citations with the knowledge-based query construction approach, and relevance increased from 1 term to 6 terms on average. The ability to automatically retrieve relevant evidence maximizes efficiency for clinicians in terms of time, based on feedback collected from clinicians. This approach is generally useful in evidence-based medicine, especially in ambient assisted living environments where automation is highly important.
The rapid expansion of computer security information and technology has included little support to help the security officer identify the safeguards needed to comply with a policy and to secure a computing system. This paper reports that Los Alamos is developing a knowledge-based computer security system to provide expert knowledge to the security officer. This system includes a model for expressing the complex requirements in computer security policy statements. The model is part of an expert system that allows a security officer to describe a computer system and then determine compliance with the policy. The model contains a generic representation that contains network relationships among the policy concepts to support inferencing based on information represented in the generic policy description
Full Text Available The actual number – Volume 5, Issue 2, December 2013 – hosts the theme of “Educational Policies in the Knowledge Based Society”. The current issue of the journal falls in science education and educational policies as part of the social sciences field, including both theoretical articles and empirical research results. In the context of the knowledge based society we refer to the two major dimensions of educational policy: macro size, regarding the impact of systemic changes induced transformation of the legal framework of the system of financing education and research, of national programs related to education, research, youth, etc. on the one hand, and to micro size on the politics of sectoral actors represented by Universities, NGOs and other institutions providing education.
Chen, Deyun; Pei, Shujun; Quan, Zhiying
Knowledge base system is one of the most future branches for artificial intelligence facing with practical application. But the reasoning process of system is invisible, not visual and users cannot intervene the reasoning process, therefore for users the system is only a black box. This condition causes many users to take a suspicious attitude to the conclusions analyzing and drawing from the system, that means even though the system has the explanation function, but it is still not far enough. If we adopt graph or image technique to display this reasoning procedure interactively and dynamically which can make this procedure be visual, users can intervene the reasoning procedure which can greatly reduce users" gain giving, and at the same time it can provide a given method for integrity check to knowledge of the knowledge base. Therefore, we can say that reasoning visualization of knowledge base system has a further meaning than general visualization. In this paper the visual problem of reasoning process for knowledge base system on the basis of the formalized analysis for ICON system, Icon operation, syntax and semanteme of the statement is presented, a reasoning model of knowledge base system that has a visual characteristics is established, the model is used to do an integrity check in practical expert system and knowledge base, better effect is got.
Vladimir-Codrin IONESCU; Viorel CORNESCU
For sustainable competitive advantages gain, modern organizations, knowledge-based, must promote a proactive and flexible management, permanently connected to change which occur in business environment. Contextually, the paper analyses impact factors of the environment which could determine a firm to initiate a programme strategic organizational change. Likewise, the paper identifies the main organizational variables involved in a changing process and emphasizes the essential role which manag...
All over the world, the problem of human capital acknowledge, it’s ways and means of shaping in order to improve it’s creative potential, tends to occupy a suitable place in the ensemble of all the organization’s management science and practice concerns. This study aims that, according to the theoretical ang pragmatical aquisitions, to present conceptual boundries about the human capital involvement in the knowledge based management. It starts with presenting the relations ballance and philos...
Full Text Available For sustainable competitive advantages gain, modern organizations, knowledge-based, must promote a proactive and flexible management, permanently connected to change which occur in business environment. Contextually, the paper analyses impact factors of the environment which could determine a firm to initiate a programme strategic organizational change. Likewise, the paper identifies the main organizational variables involved in a changing process and emphasizes the essential role which managers and entrepreneurs have in substantiation, elaboration and implementation of organizational change models.
Considering the impact of textbooks on learning, this study set out to assess representations of the nature of scientific knowledge in Turkish 9th grade biology textbooks. To this end, the ten most commonly used 9th grade biology textbooks were analyzed. A qualitative research approach was utilized and the textbooks were analyzed using…
Antônio Fernandes Nascimento Júnior
Full Text Available We analyzed the National Curriculum for Secondary Schools with respect to the ontological, epistemological, historical, social and conceptual biology. This study aims to bring information and thinking about the inclusion of history and philosophy of biology for secondary education and for teacher training. We performed an analysis of PCNEM, PCNEM+ and Curriculum Guidelines as a whole from established categories. The results indicate a predominance of the ontological view of mechanistic biology. Epistemologically, although acknowledged, the question of scientific method is rarely discussed. The historical approach and social scientific activity and scientific knowledge are recognized by the documents, but an instrumental view prevails. The conceptual aspects are comprehensive and take into account the theories of structural biology. A philosophical discussion on the biology is missing in the parameters, indicating the need for the inclusion of issues related to ideas of determinism, chance and teleology.
Full Text Available In present paper we have endeavoured to tell about some reasonings, conclusions and pricticals results, to which we have come being busy with one of most interesting problems of modern science. This paper is a brief report of the group of scientists from the Laboratory of Artificial Intelligence Systems about their experience of work in the field of knowledge engineering. The researches in this area was started in our Laboratory more than 10 years ago, i.e. about in the moment, when there was just another rise in Artificial Intelligence, caused by mass emerging of expert systems. The tasks of knowledge engineering were being varied, and focal point of our researches was being varied too. Certainly, we have not solved all the problems, originating in this area. Our knowledge still has an approximate nature, but nevertheless, the outcomes obtained by us seem rather important and interesting. So, we want to tell about our experience in building of knowledge-based systems, and expert systems, in particular.
Adam P. Henne; Drew, Joshua A.
Conservation biology and environmental anthropology are disciplines that are both concerned with the identification and preservation of diversity, in one case biological and in the other cultural. Both conservation biology and the study of traditional ecoloigcal knowledge function at the nexus of the social and natural worlds, yet historically there have been major impediments to integrating the two. Here we identify linguistic, cultural, and epistemological barriers between the two disciplin...
McDonald, Bruce A; Mundt, Christopher C
Zymoseptoria tritici (previously Mycosphaerella graminicola) causes Septoria tritici blotch (STB) on wheat. The population biology of Z. tritici has been exceptionally well characterized as a result of intensive studies conducted over nearly 30 years. These studies provided important insights into the biology, epidemiology and evolutionary history of Z. tritici that will prove useful for management of STB. The well-documented, rapid adaptation of Z. tritici populations to fungicide applications and deployment of wheat cultivars carrying both major gene and quantitative resistance reflects the high evolutionary potential predicted by the large effective population size, high degree of gene flow and high levels of recombination found in field populations of Z. tritici globally. QST studies that assessed the global diversity for several important quantitative traits confirmed the adaptive potential of field populations and laid the groundwork for quantitative trait loci (QTL) mapping studies. QTL mapping elucidated the genetic architecture of each trait and led to identification of candidate genes affecting fungicide resistance, thermal adaptation, virulence, and host specialization. The insights that emerged through these analyses of Z. tritici population biology can now be used to generate actionable disease management strategies aimed at sustainably reducing losses due to STB. The high evolutionary potential found in field populations of Z. tritici requires deployment of a corresponding dynamically diverse set of control measures that integrate cultural, chemical, biological and resistance breeding strategies. In this review, we describe and prioritize STB control strategies based on current knowledge of Z. tritici population biology and propose a future research agenda oriented toward long-term STB management. PMID:27111799
Seablom, M. S.; Wojcik, G. S.; van Aartsen, B. H.
Modeling Guru is an on-line knowledge-sharing resource for anyone involved with or interested in NASA's scientific models or High End Computing (HEC) systems. Developed and maintained by the NASA's Software Integration and Visualization Office (SIVO) and the NASA Center for Computational Sciences (NCCS), Modeling Guru's combined forums and knowledge base for research and collaboration is becoming a repository for the accumulated expertise of NASA's scientific modeling and HEC communities. All NASA modelers and associates are encouraged to participate and provide knowledge about the models and systems so that other users may benefit from their experience. Modeling Guru is divided into a hierarchy of communities, each with its own set forums and knowledge base documents. Current modeling communities include those for space science, land and atmospheric dynamics, atmospheric chemistry, and oceanography. In addition, there are communities focused on NCCS systems, HEC tools and libraries, and programming and scripting languages. Anyone may view most of the content on Modeling Guru (available at http://modelingguru.nasa.gov/), but you must log in to post messages and subscribe to community postings. The site offers a full range of "Web 2.0" features, including discussion forums, "wiki" document generation, document uploading, RSS feeds, search tools, blogs, email notification, and "breadcrumb" links. A discussion (a.k.a. forum "thread") is used to post comments, solicit feedback, or ask questions. If marked as a question, SIVO will monitor the thread, and normally respond within a day. Discussions can include embedded images, tables, and formatting through the use of the Rich Text Editor. Also, the user can add "Tags" to their thread to facilitate later searches. The "knowledge base" is comprised of documents that are used to capture and share expertise with others. The default "wiki" document lets users edit within the browser so others can easily collaborate on the
Itzhak Gilboa; David Schmeidler
"Case-Based Decision Theory" is a theory of decision making under uncertainty, suggesting that people tend to choose acts that performed well in similar cases they recall. The theory has been developed from a decision-/game-/economic-theoretical point of view, as a potential alternative to expected utility theory. In this paper we attempt to re-consider CBDT as a theory of knowledge representation and of planning, to contrast it with the rule-based approach, and to study its implications rega...
Ali Akbar ASADI-POOYA
Full Text Available How to Cite this Article: Asadi-Pooya AA, Torabi-Nami M. Knowledge and Attitude Towards Epilepsy Among Biology Teachers in Fars Province, Iran. IranianJournal of Child Neurology 2012;6(1:13-18.ObjectiveThis study investigates the awareness and perception on “epilepsy” amongst biology teachers in Fars province, Iran.Materials & MethodsA sample of high school biology teachers in Fars province, Iran, filled out an investigator designed questionnaire including questions about their knowledge and attitude concerning “epilepsy”. There were 17 questions in the questionnaire. Nine questions addressed the knowledge and the rest were about attitude and perception.ResultsForty two teachers completed the questionnaires. More than two-thirds of the participants had a fairly desirable awareness about the definition; whereas, only approximately 40% knew something about the etiology and treatment of epilepsy. More than two-thirds of the participants had a positive attitude towards epilepsy; however, misconceptions and negative attitudes were observed.ConclusionEducational programs for biology teachers and also other teachers are necessary to improve their knowledge, attitude and perception about epilepsy.References Sander JW, Shorvon SD. Incidence and prevalence studies in epilepsy and their methodological problems: a review. J Neurol Neurosurg Psychiatry 1987;50:829-39. Saraceno B. The WHO world health report 2001 on mental health. Epidemiol Psychiatr Soc 2002;11(2:83-7. Kim MK, Cho KH, Shin J, Kim SJ. A study of public attitudes towards epilepsy in Kwang-Juarea. J Kor Neurol Assoc 1994;12:410-27. DiIorio C, Shafer PO, Letz R, Henry T, Schomer DL, Yeager K, etal. The association of stigma with self-management and perception of health care among adults with epilepsy. Epilepsy Behav 2003;4(3:259-67. Aziz H, Akhtar SW, Hasan KZ. Epilepsy in Pakistan: stigma and psychological problems: a population-based epidemiologic study. Epilepsia 1997
Mitra Dilmaghani; Fatima Fahimnia; Mohammad Aboyee Ardakan; Nader Naghshineh
Effective aspects and factors on knowledge culture are identified. A model for explaining the relationship between knowledge culture and effectiveness of knowledge management procedures in a knowledge-based organization is presented. The study used a mixture of library and documentary studies, and exploratory mixed methods. First, the literature was reviewed to extract the effective aspects and factors on knowledge culture and the conceptual model was developed. Then, a questionnaire which wa...
Asadollah Kordnaeij; Mohsen Ebrahimi; Lotfollah Forozandeh Dehkordi; Ali Asghar Fani
During the past few years, knowledge has played essential role for development of economy. As a result, a new concept of knowledge based economy has been developed. Knowledge based economy is responsible for creating wealth through exploring knowledge. In new millennium, knowledge has made significant impact on socio-economic changes. The proposed study of this paper performs an empirical investigation to determine fundamentals of knowledge based economy in Iran using grounded theory. The stu...
Tang, Grace W; Altman, Russ B
Target-based drug discovery must assess many drug-like compounds for potential activity. Focusing on low-molecular-weight compounds (fragments) can dramatically reduce the chemical search space. However, approaches for determining protein-fragment interactions have limitations. Experimental assays are time-consuming, expensive, and not always applicable. At the same time, computational approaches using physics-based methods have limited accuracy. With increasing high-resolution structural data for protein-ligand complexes, there is now an opportunity for data-driven approaches to fragment binding prediction. We present FragFEATURE, a machine learning approach to predict small molecule fragments preferred by a target protein structure. We first create a knowledge base of protein structural environments annotated with the small molecule substructures they bind. These substructures have low-molecular weight and serve as a proxy for fragments. FragFEATURE then compares the structural environments within a target protein to those in the knowledge base to retrieve statistically preferred fragments. It merges information across diverse ligands with shared substructures to generate predictions. Our results demonstrate FragFEATURE's ability to rediscover fragments corresponding to the ligand bound with 74% precision and 82% recall on average. For many protein targets, it identifies high scoring fragments that are substructures of known inhibitors. FragFEATURE thus predicts fragments that can serve as inputs to fragment-based drug design or serve as refinement criteria for creating target-specific compound libraries for experimental or computational screening. PMID:24762971
Kieras, David E.
This is the final report in a project that examined how knowledge of practical electronics could be acquired from materials similar to that appearing in electronics training textbooks, from both an artificial intelligence perspective and an experimental psychology perspective. Practical electronics training materials present a series of basic circuits accompanied by an explanation of how the circuit performs the desired function. More complex circuits are then explained in terms of these basic circuits. This material thus presents schema knowledge for individual circuit types in the form of explanations of circuit behavior. Learning from such material would thus consist of first instantiating any applicable schemas, and then constructing a new schema based on the circuit structure and behavior described in the explanation. If the basic structure of the material is an effective approach to learning, learning about a new circuit should be easier if the relevant schemas are available than not. This result was obtained for both an artificial intelligence system that used standard explanation-based learning mechanisms and with human learners in a laboratory setting, but the benefits of already having the relevant schemas were not large in these materials. The close examination of learning in this domain, and the structure of knowledge, should be useful to future cognitive analyses of training in technical domains.
Full Text Available Service failure and recovery is a well-established area of services research. Research has shown that service recovery is critically important from a managerial perspective in terms of maintaining customer relationships. Yet few firms excel at handling service failures. There is a growing number of managers who claim that customers tend to be dissatisfied with their service recovery effort. Their employees cannot improve service processes when they experience recovery situations and their companies still do not learn from service failure.  attribute the service recovery ineffectiveness to the competing interests of managing employees, customers and processes. We agree with their contention that to address these criticisms, complaint management must acknowledge and find new approaches to achieve consistency and to correct the misalignment of interests that can exist between the actions of the organisation and the needs of its customers and employees. We believe that search in the customer knowledge management literature represents one effective means to enhance a firm ability to implement a cohesive service recovery strategy.A comprehensive based knowledge creation system framework where the Socialization, Externalization, Combination and Internalization (SECI modes, and various ‘ba’ proposed by Nonaka and Konno are introduced for complaint management. Empirical research, involving a case study is presented to illustrate the proposed framework. This framework is believed to pave the way for e-knowledge based complaint management.
Gill, C.; Reedy, A.; Baker, L.
The Carnegie Group Incorporated and Boeing Computer Services Company are developing a testbed which will provide a framework for integrating conventional software engineering tools with Artifical Intelligence (AI) tools to promote automation and productivity. The emphasis is on the transfer of AI technology to the software development process. Experiments relate to AI issues such as scaling up, inference, and knowledge representation. In its first year, the project has created a model of software development by representing software activities; developed a module representation formalism to specify the behavior and structure of software objects; integrated the model with the formalism to identify shared representation and inheritance mechanisms; demonstrated object programming by writing procedures and applying them to software objects; used data-directed and goal-directed reasoning to, respectively, infer the cause of bugs and evaluate the appropriateness of a configuration; and demonstrated knowledge-based graphics. Future plans include introduction of knowledge-based systems for rapid prototyping or rescheduling; natural language interfaces; blackboard architecture; and distributed processing
Jagarlapudi, Sarma A R P; Kishan, K V Radha
Several database systems have been developed to provide valuable information from the bench chemist to biologist, medical practitioner to pharmaceutical scientist in a structured format. The advent of information technology and computational power enhanced the ability to access large volumes of data in the form of a database where one could do compilation, searching, archiving, analysis, and finally knowledge derivation. Although, data are of variable types the tools used for database creation, searching and retrieval are similar. GVK BIO has been developing databases from publicly available scientific literature in specific areas like medicinal chemistry, clinical research, and mechanism-based toxicity so that the structured databases containing vast data could be used in several areas of research. These databases were classified as reference centric or compound centric depending on the way the database systems were designed. Integration of these databases with knowledge derivation tools would enhance the value of these systems toward better drug design and discovery. PMID:19727614
Leung, HCM; Yiu, SM; Chin, FYL; Leung, SY; Xiang, CL
Understanding the metabolism of new species (e.g. endophytic fungi that produce fuel) have tremendous impact on human lives. Based on predicted proteins and existing reaction databases, one can construct the metabolic network for the species. Next is to identify critical metabolic pathways from the network. Existing computational techniques identify conserved pathways based on multiple networks of related species, but have the following drawbacks. Some do not rely on additional information, s...
SU Hai; JIANG Zuhua
Due to the increasing amount and complexity of knowledge in product design, the knowledge map based on design process is presented as a tool to reuse product design process, promote the product design knowledge sharing. The relationship between design task flow and knowledge flow is discussed; A knowledge organizing method based on design task decomposition and a visualization method to support the knowledge retrieving and sharing in product design are proposed. And a knowledge map system to manage the knowledge in product design process is built with Visual C++ and SVG. Finally, a brief case study is provided to illustrate the construction and application of knowledge map in fuel pump design.
Full Text Available In the aerospace industry with highly competitive market the time to design and delivery is shortening every day. Pressure on delivering robust product with cost economy is in demand in each development. Even though technology is older, it is new for each customer requirement and highly non-liner to fit one in another place. Gas turbine is considered one of a complex design in the aircraft system. It involves experts to be grouped with designers of various segments to arrive the best output. The time is crucial to achieve a best design and it needs knowledge automation incorporated with CAD/CAE tools. In the present work an innovative idea in the form of Knowledge Based Engineering for axial compressor is proposed, this includes the fundamental design of axial compressor integrated with artificial intelligence in the form of knowledge capturing and programmed with high level language (Visual Basis.Net and embedded into CATIA v5. This KBE frame work eases out the design and modeling of axial compressor design and produces 3D modeling for further flow simulation with fluid dynamic in Ansys-Fluent. Most of the aerospace components are developed through simulation driven product development and in this case it is established for axial compressor.
Conventional economic analyses are based on dogmas that are frequently out of phase with reality. It is thus very difficult to introduce technology, technological innovation and technical progress correctly into all the theoretical constructions derived from the application of these principles. The same applies to the consideration of pollution and the depletion of natural resources. These difficult problems, which bedevil the definition of a sustainable development, find no satisfactory answer in these theoretical considerations. The consideration of Gestalteconomy helps to resolve these difficulties, in opening the door to the entrepreneurial practical management of knowledge. (author)
This knowledge base was designed to identify various Nusselt Numbers given certain conditions and restrictions. The main criterion that was used in classifying them was the geometry of the flow. From these, the program then preceded to separate correlations by forced vs. free convection, laminar vs. turbulent flow, fully developed regimes vs. entrance regimes, constant wall temperature vs. constant wall flux, and different fluid types. Finally, the individual cases were classified according to particular ranges of Re, Pr, Pe, L/D ratio, etc. After this thorough search and elimination, the correct Nusselt Number was displayed
Bonev, Martin; Hvam, Lars
considerably high amount of their recourses is required for designing and specifying the majority of their product assortment. As design decisions are hereby based on knowledge and experience about behaviour and applicability of construction techniques and materials for a predefined design situation, smart...... tools need to be developed, to support these activities. In order to achieve a higher degree of design automation, this study proposes a framework for using configuration systems within the CAD environment together with suitable geometric modeling techniques on the example of a Danish manufacturer for...
Tilchin, Oleg; Kittany, Mohamed
The goal of an approach to Adaptive Knowledge Management (AKM) of project-based learning (PBL) is to intensify subject study through guiding, inducing, and facilitating development knowledge, accountability skills, and collaborative skills of students. Knowledge development is attained by knowledge acquisition, knowledge sharing, and knowledge…
Knowledge classification based on new product development procedure The new product development procedure requires that each stage has necessary activity and output result,generally files,in fact these output results are coded product knowledge produced in each stage,also including product knowledge and process knowledge without coding,for instance the knowledge and experiences of project management,etc.
Hill Steven M; Neve Richard M; Bayani Nora; Kuo Wen-Lin; Ziyad Safiyyah; Spellman Paul T; Gray Joe W; Mukherjee Sach
Abstract Background An important question in the analysis of biochemical data is that of identifying subsets of molecular variables that may jointly influence a biological response. Statistical variable selection methods have been widely used for this purpose. In many settings, it may be important to incorporate ancillary biological information concerning the variables of interest. Pathway and network maps are one example of a source of such information. However, although ancillary informatio...
The equation on Boltsmann's tomb is S = K log W, giving 137 = 10E60 where 10E60 closely stands for the age of the universe in Plank times. We wish we could add ``137 = 10E60'' on his tomb as a contribution leading physics towards information in biology as explained in our book ``Quantum Consciousness - the Road to Reality.'' (1) We draft our speculation that such a step may explain the underlying physical cause for mutations. Tiny immeasurable and slow changes well beyond the tenth digit of fine structure constant may suffice to change the information system in constituent particles of nucleotides with their external effects forcing changes in the genetic code with successful changes resulting into mutations. (2) Our quantum mechanical published derivation of the strong coupling implies gravity as a cumulative effect of quantum mechanical particles further implying that the universal constant of gravity (G) can not be constant everywhere. (1) and (2) put together should remove Darwin's confusion about the constancy of gravity. Moving planets and Sunstorms should also cause changes in G on earth unnoticeable to mankind, but large enough to have an impact on the internal particles of nucleotides which should implicitly have an external effect on the genetic code per our theory.
This paper reports on a computerized display that has been created for the Experimental Breeder Reactor II that incorporates information from plant sensors in a thermodynamic model display. The display is designed to provide an operator with an overall view of the plant process as a heat engine. The thermodynamics of the plant are depicted through the use of iconic figures, animated by plant signals, that are related to the major plant components and systems such as the reactor, intermediate heat exchanger, secondary system, evaporators, superheaters, steam system, steam drum, and turbine-generator. This display supports knowledge based reasoning for the operator as well as providing data for the traditional rule and skill based behavior, and includes side benefits such as inherent signal validation
Ali Akbar ASADI-POOYA
Full Text Available ObjectiveThis study investigates the awareness and perception on “epilepsy” amongst biology teachers in Fars province, Iran.Materials & MethodsA sample of high school biology teachers in Fars province, Iran, filled out an investigator designed questionnaire including questions about their knowledge and attitude concerning “epilepsy”. There were 17 questions in the questionnaire. Nine questions addressed the knowledge and the rest were about attitude and perception.ResultsForty two teachers completed the questionnaires. More than two-thirds of the participants had a fairly desirable awareness about the definition; whereas, only approximately 40% knew something about the etiology and treatment of epilepsy. More than two-thirds of the participants had a positive attitude towards epilepsy; however, misconceptions and negative attitudes were observed.ConclusionEducational programs for biology teachers and also other teachers are necessary to improve their knowledge, attitude and perception about epilepsy.
This paper discusses the progress in transition to knowledge-based economy in Saudi Arabia. As for the methodology, this paper uses updated secondary data obtained from different sources. It uses both descriptive and comparative approaches and uses the OECD definition of knowledge-based economy and the World Bank Knowledge Index (KI) and Knowledge Economy Index (KEI) and other indicators often used in the international literature to examine progress in transition to a knowledge-based economy ...
In The Secret Identity of a Biology Textbook: straight and naturally sexed, Jesse Bazzul and Heather Sykes conduct a case study of a biology textbook as an oppressive instructional material. Using queer theory they explore how the text of the biology textbook produces "truths" about sex, gender, and sexuality. Their analysis is complemented by the Forum papers by Jay Lemke and Francis Broadway who broaden the analysis examining the way that what counts as knowledge in science is a political decision while also encouraging authors, including Bazzul and Sykes, to also look critically at their own theoretical lenses. In this paper I pull together their ideas while exploring cultural contexts for a more nuanced representation of biological knowledge and the politics of what it means to know science.
Schwendimann, Beat Adrian
-specific form of concept map, called Knowledge Integration Map (KIM), which aims to help learners connect ideas across levels (for example, genotype and phenotype levels) towards an integrated understanding of evolution. Using a design-based research approach (Brown, 1992; Cobb et al., 2003), three iterative studies were implemented in ethically and economically diverse public high schools classrooms using the web-based inquiry science environment (WISE) (Linn et al., 2003; Linn et al., 2004). Study 1 investigates concept maps as generative assessment tools. Study 1A compares the concept map generation and critique process of biology novices and experts. Findings suggest that concept maps are sensitive to different levels of knowledge integration but require scaffolding and revision. Study 1B investigates the implementation of concept maps as summative assessment tools in a WISE evolution module. Results indicate that concept maps can reveal connections between students' alternative ideas of evolution. Study 2 introduces KIMs as embedded collaborative learning tools. After generating KIMs, student dyads revise KIMs through two different critique activities (comparison against an expert or peer generated KIM). Findings indicate that different critique activities can promote the use of different criteria for critique. Results suggest that the combination of generating and critiquing KIMs can support integrating evolution ideas but can be time-consuming. As time in biology classrooms is limited, study 3 distinguishes the learning effects from either generating or critiquing KIMs as more time efficient embedded learning tools. Findings suggest that critiquing KIMs can be more time efficient than generating KIMs. Using KIMs that include common alternative ideas for critique activities can create genuine opportunities for students to critically reflect on new and existing ideas. Critiquing KIMs can encourage knowledge integration by fostering self-monitoring of students' learning
Luckie, Douglas B.; Rivkin, Aaron M.; Aubry, Jacob R.; Marengo, Benjamin J.; Creech, Leah R.; Sweeder, Ryan D.
We studied gains in student learning over eight semesters in which an introductory biology course curriculum was changed to include optional verbal final exams (VFs). Students could opt to demonstrate their mastery of course material via structured oral exams with the professor. In a quantitative assessment of cell biology content knowledge, students who passed the VF outscored their peers on the medical assessment test (MAT), an exam built with 40 Medical College Admissions Test (MCAT) quest...
Zhang, Liqin; Luo, Hong; LONG, Wenjie; LEI, Yongtao; Cai, Qing; Lan, Mei; Zhong, Li
In 2007-2008, a systematic survey, collection and arrangement was carried out for agricultural biological resources and traditional cultural knowledge of Hani People in 8 counties, 15 towns, and 23 village committees of Yunnan Province. A total of 299 samples were obtained about agricultural biological resources related to production and living of Hani People. According to purpose of utilization, samples were divided into grain crops, medicinal plants, vegetables, fruit trees, and oil crops, ...
van Hage Willem; Katrenko Sophia; Meij Edgar; Schuemie Martijn; Gibson Andrew P; Marshall M Scott; Roos Marco; Krommydas Konstantinos; Adriaans Pieter W
Abstract Background Hypothesis generation in molecular and cellular biology is an empirical process in which knowledge derived from prior experiments is distilled into a comprehensible model. The requirement of automated support is exemplified by the difficulty of considering all relevant facts that are contained in the millions of documents available from PubMed. Semantic Web provides tools for sharing prior knowledge, while information retrieval and information extraction techniques enable ...
Blokland, W.; Krishnamurthy, C.; Biegl, C.; Sztipanovits, J.
To solve complex problems one can often use the decomposition principle. However, a problem is seldom decomposable into completely independent subproblems. System integration deals with problem of resolving the interdependencies and the integration of the subsolutions. A natural method of decomposition is the hierarchical one. High-level specifications are broken down into lower level specifications until they can be transformed into solutions relatively easily. By automating the hierarchical decomposition and solution generation an integrated system is obtained in which the declaration of high level specifications is enough to solve the problem. We offer a knowledge-based approach to integrate the development and building of control systems. The process modeling is supported by using graphic editors. The user selects and connects icons that represent subprocesses and might refer to prewritten programs. The graphical editor assists the user in selecting parameters for each subprocess and allows the testing of a specific configuration. Next, from the definitions created by the graphical editor, the actual control program is built. Fault-diagnosis routines are generated automatically as well. Since the user is not required to write program code and knowledge about the process is present in the development system, the user is not required to have expertise in many fields.
Maciel Sanchez, Isaac
he present project analyses the relationship between knowledge and society. Specialists mention the relevance of knowledge in the current post-industrial era, coining it differently and according to their specific school of thought or ideology (economics, sociology, etc) as Knowledge Economy, Knowledge Society, or Knowledge Based Society. Even International Institutions such as the European Commission, the UNESCO or the World Bank, have pointed the relevance of knowledge in the economic devel...
Guixia Liu; Lei Liu; Chunyu Liu; Ming Zheng; Lanying Su; Chunguang Zhou
Inferring gene regulatory networks from large-scale expression data is an important topic in both cellular systems and computational biology. The inference of regulators might be the core factor for understanding actual regulatory conditions in gene regulatory networks, especially when strong regulators do work significantly, in this paper, we propose a novel approach based on combining neuro-fuzzy network models with biological knowledge to infer strong regulators and interrelated fuzzy rules. The hybrid neuro-fuzzy architecture can not only infer the fuzzy rules, which are suitable for describing the regulatory conditions in regulatory networks, but also explain the meaning of nodes and weight value in the neural network. It can get useful rules automatically without factitious judgments. At the same time, it does not add recursive layers to the model, and the model can also strengthen the relationships among genes and reduce calculation. We use the proposed approach to reconstruct a partial gene regulatory network of yeast. The results show that this approach can work effectively.
Pemsel, Sofia; Wiewiora, Anna; Müller, Ralf;
definition of KG in PBOs, a conceptual framework to investigate KG and a methodological framework for empirical inquiry into KG in PBO settings. Our definition highlights the contingent nature of KG processes in relation to their organizational context. The conceptual framework addresses macro- and micro......This paper conceptualizes knowledge governance (KG) in project-based organizations (PBOs) and its methodological approaches for empirical investigation. Three key contributions towards a multi-faceted view of KG and an understanding of KG in PBOs are advanced. These contributions include a......-level elements of KG and their interaction. The methodological framework proposes five different research approaches, structured by differentiation and integration of various ontological and epistemological stances. Together these contributions provide a novel platform for understanding KG in PBOs and developing...
Full Text Available Effective aspects and factors on knowledge culture are identified. A model for explaining the relationship between knowledge culture and effectiveness of knowledge management procedures in a knowledge-based organization is presented. The study used a mixture of library and documentary studies, and exploratory mixed methods. First, the literature was reviewed to extract the effective aspects and factors on knowledge culture and the conceptual model was developed. Then, a questionnaire which was validated through eliciting the comments of experts and examining the status of knowledge management in the organization was distributed to the researchers who were randomly selected to be included in the sample. The collected data were examined through AMOS and SPSS software. The possible relationship between the components of the model was investigated through posing five hypotheses and correlation coefficient test. The results of structural equation modeling demonstrated a significant positive relationship between contextual factors and aspects of knowledge culture and between knowledge culture and the knowledge management effectiveness. Evaluating the variables of the conceptual model revealed that staff members’ characteristics, information technology and job characteristics would make a significant positive impact on knowledge creation and knowledge sharing. However, these factors had no significant influence on knowledge cooperation and knowledge learning.
PLUMB Ion; ZAMFIR Andreea
The topic of the knowledge-based society and its implications on management is highly debated nowadays. Therefore, the aim of this study is to identify the logical connections between the knowledge-based society and the managerial revolution. The findings of this study reveal that the knowledge- based society and, more specifically, the knowledge-based economy, along with their main features and requirements regarding people’s competences and skills, have a major influence on management, whet...
In this paper we expose the theoretical background underlying our current research. This consists in the development of behaviour-based knowledge systems, for closing the gaps between behaviour-based and knowledge-based systems, and also between the understandings of the phenomena they model. We expose the requirements and stages for developing behaviour-based knowledge systems and discuss their limits. We believe that these are necessary conditions for the ...
Full Text Available A general framework of hydraulic fault diagnosis system was studied. It consisted of equipment knowledge bases, real-time databases, fusion reasoning module, knowledge acquisition module and so on. A tree-structure model of fault knowledge was established. Fault nodes knowledge was encapsulated by object-oriented technique. Complete knowledge bases were made including fault bases and diagnosis bases. It could describe the fault positions, the structure of fault, cause-symptom relationships, diagnosis principles and other knowledge. Taking the fault of left and right lifting oil cylinder out of sync for example, the diagnostic results show that the methods were effective.
TODERICIU Ramona; FRATICIU Lucia
This paper aims to present the knowledge based economy as a pillar of the knowledge society, due to the fact that in the past decades there has been a series of transitions of the global economy from the development based on traditional factors to a knowledge based economy, in which intangible goods are of vital importance.
邹湘军; 孙健; 何汉武
Following researches on the knowledge-based product design, product modeling based on knowledge fusion is studied in a virtual environment. Knowledge fusion is the energy sources of product innovation designs. Because a knowledge representation method is the main content of knowledge fusion, production rule way, semantic network, predicate, object-oriented and case-based representations are discussed. Using agents with object-oriented method, the knowledge can be represented as a set. The product knowledge set is divided into two subset: text knowledge and knowledge of engineering graphics that is a different form. Manipulation of the subset knowledge and fusion method is described. The paper also describes a six-tuple function in an agent data structure. A virtual environment computation model is proposed, and a practical example given.
Izygon, Michel E.
The development process of the knowledge base for the generation of Test Libraries for Mission Operations Computer (MOC) Command Support focused on a series of information gathering interviews. These knowledge capture sessions are supporting the development of a prototype for evaluating the capabilities of INTUIT on such an application. the prototype includes functions related to POCC (Payload Operation Control Center) processing. It prompts the end-users for input through a series of panels and then generates the Meds associated with the initialization and the update of hazardous command tables for a POCC Processing TLIB.
Hong, Yang Hee
This article attempts to illuminate the ways in which Kudo's medical knowledge based on 'gynecological science' constructed the cultural 'traditions' of colonial Korea. Kudo appears to have been quite an influential figure in colonial Korea in that his writings on the relationship between women's crime, gynecological science and the Chosŏn society granted a significant amount of intellectual authority. Here, I examine Kudo's position within colonial Korea as a producer and propagator of medical knowledge, and then see how women's bodies were understood according to his gynecological knowledge. It also traces the ways in which Kudo's gynecological knowledge represents Chosŏn society and in turn invents the 'traditions' of Chosŏn. Kudo's knowledge of "gynecology" which had been formed while it traveled the states such as Japan, Germany and France served as an important reference for his representation of colonial Korean society. Kudo was a proponent of biological evolution, particularly the rules of 'atavism' put forth by the criminal anthropologist Cesare Lombroso, and argued that an unique social environment caused 'alteration of sexual urges' and primitive cruelty in Chosŏn women. According to Kudo, The social environment was none other than the practice of 'early marriage,' which went against the physiology of women. To Kudo, 'early marriage' was an old 'tradition' of Chosŏn and the cause of heinous crimes, as well as an unmistakable indicator of both the primitiveness and savageness of Chosŏn. While Lombroso considered personal factors such as stress as the cause of women's crimes, Kudo saw Chosŏn women's crimes as a national characteristic. Moreover, he compared the occurrence rate of husband murders by provinces, based on which he categorized the northern population of Chosŏn as barbaric Manchurian and the southern population as the superior Japanese, a combination of racism and scientific knowledge. Kudo's writings provide an insight into the
ZHOU BIN; WANG RENCHAO
A machine-learning approach was developed for automated building of knowledge bases for soil resourcesmapping by using a classification tree to generate knowledge from training data. With this method, buildinga knowledge base for automated soil mapping was easier than using the conventional knowledge acquisitionapproach. The knowledge base built by classification tree was used by the knowledge classifier to perform thesoil type classification of Longyou County, Zhejiang Province, China using Landsat TM bi-temporal imagesand GIS data. To evaluate the performance of the resultant knowledge bases, the classification results werecompared to existing soil map based on a field survey. The accuracy assessment and analysis of the resultantsoil maps suggested that the knowledge bases built by the machine-learning method was of good quality formapping distribution model of soil classes over the study area.
Stefan NEDELEA; Laura Adriana PAUN
In a globalizing economy, competitiveness means information and know-how rather than capital and physical assets. The function of knowledge management is therefore to allow organizations to leverage their information resources and knowledge assets by remembering and applying experience. An organization’s ability to compete on the market is increasingly seen as depending on the skills and knowledge of its employees, regarded as intellectual capital, and on its capacity to preserve and use as m...
Purpose – Explaining how knowledge assets provide firms with a competitive advantage and show how organizational capabilities have the potential to produce long-term superior performance. Paper Category – Research Paper and Case Study. Design/Methodology/Approach – Systematic literature review and in-depth single case study. Findings – Knowledge assets through different learning mechanisms and effective knowledge management processes are bundled, linked, incorporated, converted, organized, an...
Conner, Lindsey; Gunstone, Richard
This paper reports on a qualitative case study investigation of the knowledge and use of learning strategies by 16 students in a final year high school biology class to expand their conscious knowledge of learning. Students were provided with opportunities to engage in purposeful inquiry into the biological, social and ethical aspects of cancer. A constructivist approach was implemented to access prior content and procedural knowledge in various ways. Students were encouraged to develop evaluation of their learning skills independently through activities that promoted metacognition. Those students who planned and monitored their work produced essays of higher quality. The value and difficulties of promoting metacognitive approaches in this context are discussed, as well as the idea that metacognitive processes are difficult to research, because they have to be conscious in order to be identified by the learner, thereby making them accessible to the researcher.
Timmers, T.; van Mulligen, E. M.; van den Heuvel, F.
A simple, yet powerful, knowledge base and its development environment is described that can act as a "knowledge server", integrated into a medical workstation. In many areas, such an integration of a knowledge base with other modules and systems is required, but difficult or impossible to achieve with existing commercial development shells. Three applications of the knowledge base are described: a controlled vocabulary for the classification of Congenital Heart Diseases, an extended data mod...
Terrier, Douglas; Clayton, Ronald G.; Patel, Zarana; Hu, Shaowen; Huff, Janice
Biological effects of space radiation and risk mitigation are strategic knowledge gaps for the Evolvable Mars Campaign. The current epidemiology-based NASA Space Cancer Risk (NSCR) model contains large uncertainties (HAT #6.5a) due to lack of information on the radiobiology of galactic cosmic rays (GCR) and lack of human data. The use of experimental models that most accurately replicate the response of human tissues is critical for precision in risk projections. Our proposed study will compare DNA damage, histological, and cell kinetic parameters after irradiation in normal 2D human cells versus 3D tissue models, and it will use a multi-scale computational model (CHASTE) to investigate various biological processes that may contribute to carcinogenesis, including radiation-induced cellular signaling pathways. This cross-disciplinary work, with biological validation of an evolvable mathematical computational model, will help reduce uncertainties within NSCR and aid risk mitigation for radiation-induced carcinogenesis.
Dragomir Sundać; Irena Fatur Krmpotić
The aim of this paper is to identify the various knowledge economy factors that have an impact on the achieved economic growth of national economies. This paper argues that there is no single scenario for building a knowledge-based economy. It utilizes variables of the knowledge economy, collected according to the Knowledge Assessment Methodology (KAM - benchmarking tool of the World Bank), on a sample of 118 countries. The countries are divided in three income groups according to GDP per cap...
Even if todays nuclear power plants have a very good safety record, there is a continuous search for still improving safety. One direction of this effort address operational safety, trying to improve the handling of disturbances and accidents partly by further automation, partly by creating a better control room environment, providing the operator with intelligent support systems to help in the decision making process. Introduction of intelligent computerised operator support systems has proved to be an efficient way of improving the operators performance. A number of systems have been developed worldwide, assisting in tasks like process fault detection and diagnosis, selection and implementation of proper remedial actions. Unfortunately, the use of Knowledge Based Systems (KBSs), introduces a new dimension to the problem of the licensing process. KBSs, despite the different technology employed, are still nothing more than a computer program. Unfortunately, quite a few people building knowledge based systems seem to ignore the many good programming practices that have evolved over the years for producing traditional computer programs. In this paper the author will try to point out similarities and differences between conventional software based systems, and knowledge based systems, introducing also the concept of model based reasoning. (orig.) (25 refs., 2 figs.)
GABRIELA ARIONESEI; DANIELA NEAMTU
Knowledge has the greatest value, the most human contribution, the greatest relevance to decision processes and actions and the greatest impact on specific situations or contexts. In an organizational context, all new knowledge comes from people. Some knowledge is included in organizational processes, structures and technologies. Recently, knowledge management was remitted to the domain of organizations whose primary business was to sell knowledge-based goods and products. Now, it is rapidly ...
Pasquale Ardimento; Vito Nicola Convertini; Giuseppe Visaggio
This paper presents a framework aimed at supporting knowledge transferring inside and outside an organization for innovation purposes. For this goal, the authors propose a Knowledge Experience Base (KEB), which collects Knowledge Experience Packages (KEP), to support the formalization and packaging of knowledge and experience of innovation stakeholders, encouraging gradual explanation of tacit information of bearers of knowledge to facilitate the transfer, minimizing costs and risks.
Elffers, J.; Konijnenberg, D.; Walraven, E.M.P.; Spaan, M.T.J.
Several approaches exist to solve Artificial Intelligence planning problems, but little attention has been given to the combination of using landmark knowledge and satisfiability (SAT). Landmark knowledge has been exploited successfully in the heuristics of classical planning. Recently it was also s
McDonald, J.R.; Burt, G.M.; Moyes, A.
A key issue in the operation of power system plant is deriving maximum financial benefit while staying within technical, contractual and regulatory constraints. Moreover, the capital investment required for much power system plant necessitates high levels of plant availability to make a reasonable rate-of-return. Thus, the minimisation of operational costs resulting from unplanned plant outages, unnecessary maintenance and under-utilisation of plant capabilities has become a core objective of power system plant operation. Rationalisation of power system control functions has resulted in the use of centralised control rooms from which large and complex power systems are operated. Extensive measurement, monitoring and control systems have been developed which provide operators with data from which power system plant behaviour can be evaluated. However, in the event of a serious operational incident, significant amounts of data are generated. Under such circumstances it has been found that operators are inhibited in assessing the situation, and hence the effectiveness of the subsequent operational response can be reduced. The role of knowledge based systems (KBSs) in condition monitoring is to support operational decision making through the provision of timely and focused information. (Author)
Research and development is being performed on the knowledge-based IGENPRO operator support package for plant transient diagnostics and management to provide operator assistance during off-normal plant transient conditions. A generic thermal-hydraulic (T-H) first-principles approach is being implemented using automated reasoning, artificial neural networks and fuzzy logic to produce a generic T-H system-independent/plant-independent package. The IGENPRO package has a modular structure composed of three modules: the transient trend analysis module PROTREN, the process diagnostics module PRODIAG and the process management module PROMANA. Cooperative research and development work has focused on the PRODIAG diagnostic module of the IGENPRO package and the operator training matrix of transients used at the Braidwood Pressurized Water Reactor station. Promising simulator testing results with PRODIAG have been obtained for the Braidwood Chemical and Volume Control System (CVCS), and the Component Cooling Water System. Initial CVCS test results have also been obtained for the PROTREN module. The PROMANA effort also involves the CVCS. Future work will be focused on the long-term, slow and mild degradation transients where diagnoses of incipient T-H component failure prior to forced outage events is required. This will enhance the capability of the IGENPRO system as a predictive maintenance tool for plant staff and operator support
The main objective of the paper is to highlight the characteristics of knowledge-based systems and to present the concept „community of practice” in the context of knowledge-based economy. The paper addresses the new trends and challenges of knowledge dynamics within communities of practice and examines the emergence of this type of communities.
Maria De Giusti
Full Text Available BACKGROUND: A cross-sectional survey on knowledge and perception of occupational biological risk among workers in several occupations was carried out in the industrial area of Rome. METHODS: The study was carried out in the period of March-April 2010 using a questionnaire with 33 items on the following areas: a socio-demographic data; b perception of the biological risks in ordinary occupational activity; c knowledge about biological risks; d biological risks in the working environment. The questionnaire was submitted to a convenience sample of workers of an industrial area in Southern Rome. RESULTS: 729 participants entered the study from the following work activities: food, catering, service, farming and breeding, healthcare, school and research (males 57.2%; mean age 37.4 years, SD = 10.9. Significant associations were found between different activity areas with respect to the relevance of the biological risk (p = 0.044 and the perception of the biological risk (p < 0.001. With respect to vehicles of infectious agents, the highest percentages of the most common biological risk exposures were: air and physical contact for the catering and food group, 66.7% and 61.90% respectively; air and blood for the health and research group, with 73.50% and 57.00% respectively; and physical contact and blood for the service group, 63.10 % and 48.30%. Significant difference of proportions were found about the prevalent effect caused by the biological agents was the occurrence of infectious diseases (59.90% food group, 91.60% health and research and 79.30% service group (p < 0.001. The perception of knowledge resulted in a good rank (sufficient, many or complete in the food and catering group, 78.3% with significant difference compared to other professions (p < 0.001. CONCLUSIONS: All participants show good knowledge the effects induced by biological agents and it is significant that almost half of the respondents are aware of the risks concerning allergies
WU ZhaoHui(吴朝晖); CHEN HuaJun(陈华钧); XU JieFeng(徐杰锋)
The emergence of semantic web will result in an enormous amount of knowledge base resources on the web. In this paper, a generic Knowledge Base Grid Architecture (KB-Grid)for building large-scale knowledge systems on the semantic web is presented. KB-Grid suggests a paradigm that emphasizes how to organize, discover, utilize, and manage web knowledge base resources. Four principal components are under development: a semantic browser for retrieving and browsing semantically enriched information, a knowledge server acting as the web container for knowledge, an ontology server for managing web ontologies, and a knowledge base directory server acting as the registry and catalog of KBs. Also a referential model of knowledge service and the mechanisms required for semantic communication within KB-Grid are defined. To verify the design rationale underlying the KB-Grid, an implementation of Traditional Chinese Medicine(TCM) is described.
Pulaski, Kirt; Casadaban, Cyprian
The coupling of data and knowledge has a synergistic effect when building an intelligent data base. The goal is to integrate the data and knowledge almost to the point of indistinguishability, permitting them to be used interchangeably. Examples given in this paper suggest that Case-Based Reasoning is a more integrated way to link data and knowledge than pure rule-based reasoning.
Sergey V. Kovalchuk; Smirnov, Pavel A.; Knyazkov, Konstantin V.; Zagarskikh, Alexander S.; Boukhanovsky, Alexander V.
Presented paper describes the development of comprehensive approach for knowledge processing within e-Sceince tasks. Considering the task solving within a simulation-driven approach a set of knowledge-based procedures for task definition and composite application processing can be identified. This procedures could be supported by the use of domain-specific knowledge being formalized and used for automation purpose. Within this work the developed conceptual and technological knowledge-based to...
Slota, Martin; Leite, João; Swift, Terrance
Over the years, nonmonotonic rules have proven to be a very expressive and useful knowledge representation paradigm. They have recently been used to complement the expressive power of Description Logics (DLs), leading to the study of integrative formal frameworks, generally referred to as hybrid knowledge bases, where both DL axioms and rules can be used to represent knowledge. The need to use these hybrid knowledge bases in dynamic domains has called for the development of update operators, ...
Representation of knowledge in artificially intelligent systems is discussed. Types of knowledge that might need to be represented in AI systems are listed, and include knowledge about objects, events, knowledge about how to do things, and knowledge about what human beings know (meta-knowledge). The use of knowledge in AI systems is discussed in terms of acquiring and retrieving knowledge and reasoning about known facts. Different kinds of reasonings or representations are ghen described with some examples given. These include formal reasoning or logical representation, which is related to mathematical logic, production systems, which are based on the idea of condition-action pairs (production), procedural reasoning, which uses pre-formed plans to solve problems, frames, which provide a structure for representing knowledge in an organized manner, direct analogical representations, which represent knowledge in such a manner that permits some observation without deduction
CHEN Lei; LI Dehua; LI Xiaojian; WU Chunxiang
Resources are the base and core of education information, but current web education resources have no structure and it is still difficult to reuse them and make them can be self assembled and developed continually. According to the knowledge structure of course and text, the relation among knowledge points, knowledge units from three levels of media material, we can build education resource components, and build TKCM (Teaching Knowledge Combination Model) based on resource components. Builders can build and assemble knowledge system structure and make knowledge units can be self assembled, thus we can develop and consummate them continually. Users can make knowledge units can be self assembled and renewed, and build education knowledge system to satisfy users' demand under the form of education knowledge system.
Sureephong, Pradorn; Ouzrout, Yacine; Bouras, Abdelaziz
Knowledge-based economy forces companies in the nation to group together as a cluster in order to maintain their competitiveness in the world market. The cluster development relies on two key success factors which are knowledge sharing and collaboration between the actors in the cluster. Thus, our study tries to propose knowledge management system to support knowledge management activities within the cluster. To achieve the objectives of this study, ontology takes a very important role in knowledge management process in various ways; such as building reusable and faster knowledge-bases, better way for representing the knowledge explicitly. However, creating and representing ontology create difficulties to organization due to the ambiguity and unstructured of source of knowledge. Therefore, the objectives of this paper are to propose the methodology to create and represent ontology for the organization development by using knowledge engineering approach. The handicraft cluster in Thailand is used as a case stu...
This research addresses the problem of developing planning knowledge-based applications. In particular, it is concerned with the problems of knowledge acquisition and representation---the issues that remain an impediment to the development of large-scale, knowledge-based planning applications. This work aims to develop a model of planning problem solving that facilitates expert knowledge elicitation and also supports effective problem solving. Achieving this goal requires determining the types of knowledge used by planning experts, the structure of this knowledge, and the problem-solving process that results in the plan. While answering these questions it became clear that the knowledge structure, as well as the process of problem solving, largely depends on the knowledge available to the expert. This dissertation proposes classification of planning problems based on their use of expert knowledge. Such classification can help in the selection of the appropriate planning method when dealing with a specific planning problem. The research concentrates on one of the identified classes of planning problems that can be characterized by well-defined and well-structured problem-solving knowledge. To achieve a more complete knowledge representation architecture for such problems, this work employs the task-specific approach to problem solving. The result of this endeavor is a task-specific methodology that allows the representation and use of planning knowledge in a structural, consistent manner specific to the domain of the application. The shell for building a knowledge-based planning application was created as a proof of concept for the methodology described in this dissertation. This shell enabled the development of a system for manufacturing planning---COMPLAN. COMPLAN encompasses knowledge related to four generic techniques used in composite material manufacturing and, given the description of the composite part, creates a family of plans capable of producing it.
Despite the ongoing globalisation of economic activities, innovation does not take place randomly distributed over space, but concentrates in certain locations. A central argument to explain the spatial concentration of innovation activities lies in the ability of geographical proximity to facilitate interactive learning and knowledge exchange, which in turn is seen as an important driver for regional growth and prosperity. Intensive knowledge sharing within the regional milieu is considered ...
Integration of aquatic ecology and biological oceanographic knowledge for development of area-based eutrophication assessment criteria leading to water resource remediation and utilization management: a case study in Tha Chin, the most eutrophic river of Thailand.
Meksumpun, Charumas; Meksumpun, Shettapong
This research was carried out in Tha Chin Watershed in the central part of Thailand with attempts to apply multidisciplinary knowledge for understanding ecosystem structure and response to anthropogenic pollution and natural impacts leading to a proposal for an appropriate zonation management approach for sustainable utilization of the area. Water quality status of the Tha Chin River and Estuary had been determined by analyzing ecological, hydrological, and coastal oceanographic information from recent field surveys (during March 2006 to November 2007) together with secondary data on irrigation, land utilization, and socio-economic status.Results indicated that the Tha Chin River and Estuary was eutrophic all year round. Almost 100% of the brackish to marine areas reflected strongly hypertrophic water condition during both dry and high-loading periods. High NH(4)(+) and PO(4)(3-) loads from surrounding agricultural land use, agro-industry, and community continuously flew into the aquatic environment. Deteriorated ecosystem was clearly observed by dramatically low DO levels (ca 1 mg/l) in riverine to coastal areas and Noctiluca and Ceratium red tide outbreaks occurred around tidal front closed to the estuary. Accordingly, fishery resources were significantly decreased. Some riverine benthic habitats became dominated by deposit-feeding worms e.g. Lumbriculus, Branchiura, and Tubifex, while estuarine benthic habitats reflected succession of polychaetes and small bivalves. Results on analysis on integrated ecosystem responses indicated that changing functions were significantly influenced by particulates and nutrients dynamics in the system.Based on the overall results, the Tha Chin River and Estuary should be divided into 4 zones (I: Upper freshwater zone; II: Middle freshwater zone; III Lower freshwater zone; and IV: Lowest brackish to marine zone) for further management schemes on water remediation. In this study, the importance of habitat morphology and water flow
Shi, George Z.; Wu, Kewei; Fensky, Connie S.; Lo, Ching F.
A prototype Knowledge-Based System Developer (KBSD) has been developed for aerospace applications by utilizing artificial intelligence technology. The KBSD directly acquires knowledge from domain experts through a graphical interface then builds expert systems from that knowledge. This raises the state of the art of knowledge acquisition/expert system technology to a new level by lessening the need for skilled knowledge engineers. The feasibility, applicability , and efficiency of the proposed concept was established, making a continuation which would develop the prototype to a full-scale general-purpose knowledge-based system developer justifiable. The KBSD has great commercial potential. It will provide a marketable software shell which alleviates the need for knowledge engineers and increase productivity in the workplace. The KBSD will therefore make knowledge-based systems available to a large portion of industry.
Yao Jianchu; Zhou Ji; Yu Jun
A concept of an intelligent optimal design approach is proposed, which is organized by a kind of compound knowledge model. The compound knowledge consists of modularized quantitative knowledge, inclusive experience knowledge and case-based sample knowledge. By using this compound knowledge model, the abundant quantity information of mathematical programming and the symbolic knowledge of artificial intelligence can be united together in this model. The intelligent optimal design model based on such a compound knowledge and the automatically generated decomposition principles based on it are also presented. Practically, it is applied to the production planning, process schedule and optimization of production process of a refining & chemical work and a great profit is achieved. Specially, the methods and principles are adaptable not only to continuous process industry, but also to discrete manufacturing one.
Young, C.; Ballard, S.; Hipp, J.
To improve ground-based nuclear explosion monitoring capability, GNEM R&E (Ground-based Nuclear Explosion Monitoring Research & Engineering) researchers at the national laboratories have collected an extensive set of raw data products. These raw data are used to develop higher level products (e.g. 2D and 3D travel time models) to better characterize the Earth at regional scales. The processed products and selected portions of the raw data are stored in an archiving and access system known as the NNSA (National Nuclear Security Administration) Knowledge Base (KB), which is engineered to meet the requirements of operational monitoring authorities. At its core, the KB is a data archive, and the effectiveness of the KB is ultimately determined by the quality of the data content, but access to that content is completely controlled by the information system in which that content is embedded. Developing this system has been the task of Sandia National Laboratories (SNL), and in this paper we discuss some of the significant challenges we have faced and the solutions we have engineered. One of the biggest system challenges with raw data has been integrating database content from the various sources to yield an overall KB product that is comprehensive, thorough and validated, yet minimizes the amount of disk storage required. Researchers at different facilities often use the same data to develop their products, and this redundancy must be removed in the delivered KB, ideally without requiring any additional effort on the part of the researchers. Further, related data content must be grouped together for KB user convenience. Initially SNL used whatever tools were already available for these tasks, and did the other tasks manually. The ever-growing volume of KB data to be merged, as well as a need for more control of merging utilities, led SNL to develop our own java software package, consisting of a low- level database utility library upon which we have built several
Maryanne C. Simurda
Full Text Available As biology education is being redesigned toward an interdisciplinary focus and as pedagogical trends move toward active-learning strategies and investigative experiences, a restructuring of the course content for the Introductory Biology course is necessary. The introductory course in biology has typically been a survey of all the biosciences. If the total number of topics covered is reduced, is the students’ overall knowledge of biology also reduced? Our introductory course has been substantially modified away from surveying the biological sciences and toward providing a deep understanding of a particular biological topic, as well as focusing on developing students’ analytical and communication skills. Because of this shift to a topic-driven approach for the introductory course, we were interested in assessing our graduating students’ overall knowledge of the various biological disciplines. Using the Major Field Test - Biology (Educational Testing Service (ETS, Princeton, NJ, we compared the test performance of graduating students who had a traditional lecture-based introductory course to those who had a topic-driven active-learning introductory course. Our results suggest that eliminating the traditional survey of biology and, instead, focusing on quantitative and writing skills at the introductory level do not affect our graduating students’ overall breadth of knowledge of the various biosciences.
1. Introduction - the metaphor of a "knowledge-based economy"; 2. The Triple Helix as a model of the knowledge-based economy; 3. Knowledge as a social coordination mechanism; 4. Neo-evolutionary dynamics in a Triple Helix of coordination mechanism; 5. The operation of the knowledge base; 6. The restructuring of knowledge production in a KBE; 7. The KBE and the systems-of-innovation approach; 8. The KBE and neo-evolutionary theories of innovation; 8.1 The construction of the evolving unit; 8.2 User-producer relations in systems of innovation; 8.3 'Mode-2' and the production of scientific knowledge; 8.4 A Triple Helix model of innovations; 9. Empirical studies and simulations using the TH model; 10. The KBE and the measurement; 10.1 The communication of meaning and information; 10.2 The expectation of social structure; 10.3 Configurations in a knowledge-based economy
Ravgiala, Rebekah Rae
Theories regarding the development of expertise hold implications for alternative and traditional certification programs and the teachers they train. The literature suggests that when compared to experts in the field of teaching, the behaviors of novices differ in ways that are directly attributed to their pedagogical content knowledge. However, few studies have examined how first and second year biology teachers entering the profession from traditional and alternative training differ in their demonstration of subject-specific pedagogical content knowledge. The research problem in this multicase, naturalistic inquiry investigated how subject-specific pedagogical content knowledge was manifested among first and second year biology teachers in the task of transforming subject matter into forms that are potentially meaningful to students when explicit formal training has been and has not been imparted to them as preservice teachers. Two first year and two second year biology teachers were the subjects of this investigation. Allen and Amber obtained their certification through an alternative summer training institute in consecutive years. Tiffany and Tricia obtained their certification through a traditional, graduate level training program in consecutive years. Both programs were offered at the same northeastern state university. Participants contributed to six data gathering techniques including an initial semi-structured interview, responses to the Conceptions of Teaching Science questionnaire (Hewson & Hewson, 1989), three videotaped biology lessons, evaluation of three corresponding lesson plans, and a final semi-structured interview conducted at the end of the investigation. An informal, end-of-study survey intended to offer participants an opportunity to disclose their thoughts and needs as first year teachers was also employed. Results indicate that while conceptions of teaching science may vary slightly among participants, there is no evidence to suggest that
Fuwei Zhao; Jianyong Wu; Dayuan Xue
Due to its scientific value, economic potential, and social background basis, traditional knowledge (TK) is valued of great importance under the Convention on Biological Diversity (CBD) and by other international fora. The Convention has made enormous efforts for the protection of TK relevant to biodiversity. For instance, an ad hoc working group on Article 8(j) and related provisions was established; programmes of work and action plans on the implementation of Article 8(j) and related provis...
Rhodes, Carl; Garrick, John
Analysis of management discourses, especially project-based learning and knowledge management, indicates that such terms as human capital, working knowledge, and knowledge assets construe managerial workers as cogito-economic subjects. Although workplace learning should develop economically related capabilities, such discourses imply that these…
Ling, Chen Wai; Sandhu, Manjit S.; Jain, Kamal Kishore
Purpose: This paper seeks to examine the views of executives working in an American based multinational company (MNC) about knowledge sharing, barriers to knowledge sharing, and strategies to promote knowledge sharing. Design/methodology/approach: This study was carried out in phases. In the first phase, a topology of organizational mechanisms for…
The report reviews the economic transition in Korea, summarizing the challenge of the knowledge revolution, to the country's development strategy, and the analytical, and policy framework for a knowledge-based economy. It explores the needs to increase overall productivity, and areas of relative inefficiency, namely, inadequate conditions for generation of knowledge, and information; insuf...
In biological systems, the capacity of anticipation—that is, entertaining a model of the system within the system—can be considered as naturally given. Human languages enable psychological systems to construct and exchange mental models of themselves and their environments reflexively, that is, provide meaning to the events. At the level of the social system expectations can further be codified. When these codifications are functionally differentiated—like between market mechanisms and scientific research programs—the potential asynchronicity in the update among the subsystems provides room for a second anticipatory mechanism at the level of the transversal information exchange among differently codified meaning-processing subsystems. Interactions between the two different anticipatory mechanisms (the transversal one and the one along the time axis in each subsystem) may lead to co-evolutions and stabilization of expectations along trajectories. The wider horizon of knowledgeable expectations can be expected to meta-stabilize and also globalize a previously stabilized configuration of expectations against the axis of time. While stabilization can be considered as consequences of interaction and aggregation among incursive formulations of the logistic equation, globalization can be modeled using the hyperincursive formulation of this equation. The knowledge-based subdynamic at the global level which thus emerges, enables historical agents to inform the reconstruction of previous states and to co-construct future states of the social system, for example, in a techno-economic co-evolution.
Why to main-stream curiosity for earth-science topics, thus to appraise these topics as of public interest? Namely, to influence practices how humankind's activities intersect the geosphere. How to main-stream that curiosity for earth-science topics? Namely, by weaving diverse concerns into common threads drawing on a wide range of perspectives: be it beauty or particularity of ordinary or special phenomena, evaluating hazards for or from mundane environments, or connecting the scholarly investigation with concerns of citizens at large; applying for threading traditional or modern media, arts or story-telling. Three examples: First "weather"; weather is a topic of primordial interest for most people: weather impacts on humans lives, be it for settlement, for food, for mobility, for hunting, for fishing, or for battle. It is the single earth-science topic that went "prime-time" since in the early 1950-ties the broadcasting of weather forecasts started and meteorologists present their work to the public, daily. Second "knowledge base"; earth-sciences are a relevant for modern societies' economy and value setting: earth-sciences provide insights into the evolution of live-bearing planets, the functioning of Earth's systems and the impact of humankind's activities on biogeochemical systems on Earth. These insights bear on production of goods, living conditions and individual well-being. Third "life-style"; citizen's urban culture prejudice their experiential connections: earth-sciences related phenomena are witnessed rarely, even most weather phenomena. In the past, traditional rural communities mediated their rich experiences through earth-centric story-telling. In course of the global urbanisation process this culture has given place to society-centric story-telling. Only recently anthropogenic global change triggered discussions on geoengineering, hazard mitigation, demographics, which interwoven with arts, linguistics and cultural histories offer a rich narrative
In this paper,a brief survey on knowledge-based animation techniques is given.Then a VideoStream-based Knowledge Representation Model(VSKRM)for Joint Objects is presented which includes the knowledge representation of :Graphic Object,Action and VideoStream.Next a general description of the UI framework of a system is given based on the VSKRM model.Finally,a conclusion is reached.
I discuss (ontologies_and_ontological_knowledge_bases / formal_methods_and_theories) duality and its category theory extensions as a step toward a solution to Knowledge-Based Systems Theory. In particular I focus on the example of the design of elements of ontologies and ontological knowledge bases of next three electronic courses: Foundations of Research Activities, Virtual Modeling of Complex Systems and Introduction to String Theory.
Known is that the pillars of the knowledge-based economy are information, connection of information and communication. Complexity of the processes taking place in the knowledge-based economy and structural changes posed by this leads to highlighting required versatility and increased ambiguity in terms of both information and communication. This is because knowledge-based economy is not limiting his horizons, but rather help to build content and communication complexity. Thus, in the digital ...
RUBÉN PEREDO VALDERRAMA; ALEJANDRO CANALES CRUZ; ADRIANA N. RAMÍREZ SALAZAR; JUAN CARLOS CARAVANTES RAMÍREZ
This paper is focused on the use of Knowledge Management techniques to develop environments of Web-Based Education to leverage the individual learning process for learners. Evolving use of Knowledge Management plays an important role to enhance problem solving skills. Recently, innovative approaches for integrating Knowledge Management into practical teaching activities have been ignored. The knowledge is defined as combination and organization of data and information in given context, and Kn...
Noureddine Kerzazi; Mathieu Lavallée; Pierre-N. Robillard
As the acquisition and sharing of knowledge form the backbone of the software development process, it is important to identify knowledge discrepancies between the process elements. Explicit representation of the knowledge components within a software process model can provide a means to expose these discrepancies. This paper presents an extension of the Software and System Process Engineering Metamodel (SPEM), to be used as a new knowledge modeling layer. The approach, which is based on ontol...
Ani MATEI; Matei, Lucica
The purpose of this paper is to analyze and describe the relation between knowledge and development in the new knowledge-based economy and to deduct the socio-economic basics of the public marketing strategies in this context. The particularity of this approach is due to the features of knowledge, seen as production factor, mixed public good or global public good, as well as their developments in the context of relationships between university and industry, the new role of publ...
Fidjeland, Mikael Kirkeby
The Semantic Web is an emerging framework for data reuse and sharing. By giving data clear semantics it allows for machine processing of this information. The Semantic Web technologies range from simple meta data to domain models using the Web Ontology Languge (OWL). Much of the semantics of OWL stems from the Knowledge Representation field of Description Logics. Case-Based Reasoning (CBR) uses specific knowledge in the form of cases to solve problems. The Creek system is a Knowledge-Intens...
Sasson, Amir; Blomgren, Atle
This study presents the Norwegian upstream oil and gas industry (defined as all oil and gas related firms located in Norway, regardless of ownership) and evaluates the industry according to the underlying dimensions of a global knowledge hub - cluster attractiveness, education attractiveness, talent attractiveness, RandD and innovation attractiveness, ownership attractiveness, environmental attractiveness and cluster dynamics.(au)
Sasson, Amir; Blomgren, Atle
This study presents the Norwegian upstream oil and gas industry (defined as all oil and gasrelated firms located in Norway, regardless of ownership) and evaluates the industry according to the underlying dimensions of a global knowledge hub - cluster attractiveness, education attractiveness, talent attractiveness, R&D and innovation attractiveness, ownership attractiveness, environmental attractiveness and cluster dynamics.
There are two basic approaches to representation of design knowledge in knowledge-based CAAD systems, the type-based approach which has a long tradition, and the more recent typeless approach. Proponents of the latter have offered a number of arguments against the type-based approach which are...
Full Text Available Through a series of precise text handling processes, including automatic extraction of information from documents with knowledge from various fields, recognition of entity names, detection of core topics, analysis of the relations between the extracted information and topics, and automatic inference of new knowledge, the most efficient knowledge base of the relevant field is created, and plans to apply these to the information knowledge management and service are the core requirements necessary for intellectualization of information. In this paper, the knowledge base, which is a necessary core resource and comprehensive technology for intellectualization of science and technology information, is described and the usability of academic information services using it is evaluated. The knowledge base proposed in this article is an amalgamation of information expression and knowledge storage, composed of identifying code systems from terms to documents, by integrating terminologies, word intelligent networks, topic networks, classification systems, and authority data.
Full Text Available This a rticle summarizes research work started with the SeiPro2S (Semantically Enhanced Intellectual Property Protection System system designed to protect resources fro m the unauthorized use of intel lectual property. The system implements semantic network as a s tructure of knowledge repre sentation and a new idea of semantic compression. As the author proved that semantic compression is viable concept for English, he decided to focus on potential applications. An alg orithm is presented that employ ing semantic net work WiSENet for knowledge acquisition with flexible rules that yield high precision results. Developed algorithm is implemented as a Finite State Automaton with advanced methods for triggering desired actions. Detailed discussion is given with description of devised algorithm, u s age examples and results of experi ments.
This thesis consists of three projects which combine artificial intelligence and control. The first part describes an expert system interface for system identification, using the interactive identification program Idpac. The interface works as an intelligent help system, using the command spy strategy. It contains a multitude of help system ideas. The concept of scripts is introduced as a data structure used to describe the procedural part of the knowledge in the interface. Production rules are used to represent diagnostic knowledge. A small knowledge database of scripts and rules has been developed and an example run is shown. The second part describes an expert system for frequency response analysis. This is one of the oldest and most widely used methods to determine the dynamics of a stable linear system. Though quite simple, it requires knowledge and experience of the user, in order to produce reliable results. The expert system is designed to help the user in performing the analysis. It checks whether the system is linear, finds the frequency and amplitude ranges, verifies the results, and, if errors should occur, tries to give explanation and remedies for them. The third part describes three diagnostic methods for use with industrial processes. They are measurement validation, i.e., consistency checking of sensor and measurement values using any redundancy of instrumentation; alarm analysis, i.e. analysis of multiple alarm situations to find which alarms are directly connected to primary faults and which alarms are consequential effects of the primary ones; and fault diagnosis, i.e., a search for the causes of and remedies for faults. The three methods use multilevel flow models, (MFM), to describe the target process. They have been implemented in the programming tool G2, and successfully tested on two small processes. (164 refs.) (au)
Bertino, Elisa; Catania, Barbara; Perlasca, Paolo
The problem of integrating knowledge from multiple and heterogeneous sources is a fundamental issue in current information systems. In order to cope with this problem, the concept of mediator has been introduced as a software component providing intermediate services, linking data resources and application programs, and making transparent the heterogeneity of the underlying systems. In designing a mediator architecture, we believe that an important aspect is the definition of a formal framewo...
Esad Ahmetagic; Peter Harmath
Incubators of knowledge, entrepreneurial incubators or business incubators are different names and approaches to the same process, improving the entrepreneurial spirit in the company or certain social environment. Entrepreneurial concept involves the creation of ideas that can commercialize the product or service to be profitable in the market. The article is introducing a special approach by linking university experts and their problem solving abilities with company in the need for their hel...
Fabian Suchanek; Martin Theobald; Gerhard Weikum; Hady Lauw; Ralf Schenkel
The Web bears the potential of being the world's greatest encyclopedic source, but we are far from fully ex- ploiting this potential. Valuable scientific and cultural content is interspersed with a huge amount of noisy, low- quality, unstructured text and media. The proliferation of knowledge-sharing communities like Wikipedia and the advances in automated information extraction from Web pages give rise to an unprecedented opportunity: Can we systematically harvest facts from the Web and comp...
TAI Li-gang; ZHONG Ting-xiu
This paper proposes a mechanical product intelligent rapid design approach based on integrated technologies. Adopting knowledge based engineering to reuse and manage product design knowledge, and combining feature modeling and parametric design based on existing CAD/CAE/CAM system and technology of product family modeling and engineering database, the system establishes a product family knowledge base, which mainly including product family case base and rule base. The system also utilizes WEB technology to let customers to individually customize products remotely through internet. And an applicable example is given in the end.
Knowledge acquisition has always been the bottleneck of artificial intelligence. It is the critical point in product family design. Here a knowledge acquisition method was introduced based on scenario model and repository grid and attribute ordering table technology. This method acquired knowledge through providing product design cases to expert, and recording the means and knowledge used by the expert to describe and resolve problems. It used object to express design entity, used scenario to describe the design process, used Event-Condition-Action (ECA) rule to drive design process, and with the help of repository grid and attribute ordering table technology to acquire design knowledge. It's a good way to capture explicit and implicit knowledge. And its validity is proved with respective examples.
Alina HAGIU; Marinela TANASCOVICI
Knowledge-based organizations (KBO) are usually considered to be those whose product or service is knowledge-intensive. The characteristics of a KBO, however, go beyond product to include process, purpose and perspective. Process refers to an organization’s knowledge based activities and processes. Purpose refers to its mission and strategy. Perspective refers to the worldview and culture that influence and constrain an organization’s decisions and actions. In order for organizations to remai...
Bruno, Silvia; Dip. di Ingegneria Strutturale "La Sapienza"; Gavarini, Carlo; Dip. di Ingegneria Strutturale "La Sapienza"; Padula, Antonio; Istituto Nazionale di Geofisica e Vulcanologia, Sezione CNT, Roma, Italia; Vittori, Federico; Dip. di Ingegneria Strutturale "La Sapienza"
The increasing interest in AI as a powerful aid in solving civil engineering problems has suggested the realization of a domain-independent tool for knowledge-based systems construction. The paper provides the description of a fuzzy inference engine, which has appropriately been developed in order to both build knowledge bases and to perform evaluations. Knowledge acquisition issues and approximate reasoning techniques are also illustrated and discussed.
The present paper examines the importance of education as a cornerstone to the knowledge-based society of future Europe and to its implementation in Romania. The aim herein is to outline that at present, in order for the society to meet the current needs and to lie the foundations of highly performing, receptive economy in terms of the specific requirements of ”knowledge-based society”, it must promote and implement new, modern management techniques, knowledge, and tools to support such activ...
The present paper focuses on a presentation of four pillars of knowledge, occurring as the sources of competitive advantage for knowledge-based economies, and on the construction of taxonomic measure for assessing competitiveness’ degree of 29 this type economies in 2000-2010. To build this taxonomic measure, author used 21 diagnostic variables representing four areas of knowledge-based economies’ competitiveness, i.e. the system of economic incentives and institutional regime, well educated ...
Teachers are the most important factor in student learning (National Research Council, 1996); yet little is known about the specialized knowledge held by experienced teachers. The purpose of this study was twofold: first, to make explicit the pedagogical content knowledge (PCK) for teaching diffusion and osmosis held by experienced biology teachers and, second, to reveal how topic-specific PCK informs teacher practice. The Magnusson et al. (1999) PCK model served as the theoretical framework for the study. The overarching research question was: When teaching lessons on osmosis and diffusion, how do experienced biology teachers draw upon their topic-specific pedagogical content knowledge? Data sources included observations of two consecutive lessons, three semi-structured interviews, lesson plans, and student handouts. Data analysis indicated five of the six teachers held a constructivist orientation to science teaching and engaged students in explorations of diffusion and osmosis prior to introducing the concepts to students. Explanations for diffusion and osmosis were based upon students' observations and experiences during explorations. All six teachers used representations at the molecular, cellular, and plant organ levels to serve as foci for explorations of diffusion and osmosis. Three potential learning difficulties identified by the teachers included: (a) understanding vocabulary terms, (b) predicting the direction of osmosis, and (c) identifying random molecular motion as the driving force for diffusion and osmosis. Participants used student predictions as formative assessments to reveal misconceptions before instruction and evaluate conceptual understanding during instruction. This study includes implications for teacher preparation, research, and policy.
calculi have similarly been used for the study of bio-chemical reactive systems. In this dissertation it is argued that techniques rooted in the theory and practice of programming languages, language based techniques if you will, constitute a strong basis for the investigation of models of biological......Process calculus is the common denominator for a class of compact, idealised, domain-specific formalisms normally associated with the study of reactive concurrent systems within Computer Science. With the rise of the interactioncentred science of Systems Biology a number of bio-inspired process...... systems as formalised in a process calculus. In particular it is argued that Static Program Analysis provides a useful approach to the study of qualitative properties of such models. In support of this claim a number of static program analyses are developed for Regev’s BioAmbients – a bio-inspired variant...
In such engineering fields as nuclear power plant engineering, technical information expressed in the form of schematics is frequently used. A new paradigm for model-based reasoning (MBR) and an AI tool called PLEXSYS (plant expert system) using this paradigm has been developed. PLEXSYS and the underlying paradigm are specifically designed to handle schematic drawings, by expressing drawings as models and supporting various sophisticated searches on these models. Two application systems have been constructed with PLEXSYS: one generates PLEXSYS models from existing CAD data files, and the other provides functions for nuclear power plant design support. Since the models can be generated from existing data resources, the design support system automatically has full access to a large-scale model or knowledge base representing actual nuclear power plants. (author)
LIANG Jun; JIANG Zuhua; ZHEN Lu; SU Hai; WANG Kuoming
To support and serve engineering design, creative design based on knowledge management is proposed. The key knowledge factors of creative design are analyzed and discussed, and knowledge extraction tools are utilized to distill the important knowledge to serve for knowledge resource of creative design. The implementation of creative design mode is described and executed, which can promote the intelligent asset of the enterprise and shorten the period of creative design. With this study, design afflatus and conceptual design can be achieved expediently and effectively.
Phenotypes are the observable characteristics of an organism, and they are widely recorded in biology and medicine. To facilitate data integration, ontologies that formally describe phenotypes are being developed in several domains. I will describe a formal framework to describe phenotypes. A formalized theory of phenotypes is not only useful for domain analysis, but can also be applied to assist in the diagnosis of rare genetic diseases, and I will show how our results on the ontology of phenotypes is now applied in biomedical research.
Harandi, Mehdi T.
Reviews overall structure and design principles of a knowledge-based programming support tool, the Knowledge-Based Programming Assistant, which is being developed at University of Illinois Urbana-Champaign. The system's major units (program design program coding, and intelligent debugging) and additional functions are described. (MBR)
This paper discusses the progress in transition to knowledge-based economy in Saudi Arabia. As for the methodology, this paper uses updated secondary data obtained from different sources. It uses both descriptive and comparative approaches and uses the OECD definition of knowledge-based economy and
Selfridge, Peter G.
The Sixth Annual Knowledge-Based Software Engineering Conference (KBSE-91) was held at the Sheraton University Inn and Conference Center in Syracuse, New York, from Sunday afternoon, 22 September, through midday Wednesday, 25 September. The KBSE field is concerned with applying knowledge-based AI techniques to the problems of creating, understanding, and maintaining very large software systems.
Aim Ecologists seeking to describe patterns at ever larger scales require compilations of data on the global abundance and distribution of species. Comparable compilations of biological data are needed to elucidate the mechanisms behind these patterns, but have received far less attention. We assess the availability of biological data across an entire assemblage: the well-documented demersal marine fauna of the United Kingdom. We also test whether data availability for a species depends on its taxonomic group, maximum body size, the number of times it has been recorded in a global biogeographic database, or its commercial and conservation importance. Location Seas of the United Kingdom. Methods We defined a demersal marine fauna of 973 species from 15 phyla and 40 classes using five extensive surveys around the British Isles. We then quantified the availability of data on eight key biological traits (termed biological knowledge) for each species from online databases. Relationships between biological knowledge and our predictors were tested with generalized linear models. Results Full data on eight fundamental biological traits exist for only 9% (n= 88) of the UK demersal marine fauna, and 20% of species completely lack data. Clear trends in our knowledge exist: fish (median biological knowledge score = six traits) are much better known than invertebrates (one trait). Biological knowledge increases with biogeographic knowledge and (to a lesser extent) with body size, and is greater in species that are commercially exploited or of conservation concern. Main conclusions Our analysis reveals deep ignorance of the basic biology of a well-studied fauna, highlighting the need for far greater efforts to compile biological trait data. Clear biases in our knowledge, relating to how well sampled or \\'important\\' species are suggests that caution is required in extrapolating small subsets of biologically well-known species to ecosystem-level studies. © 2011 Blackwell
The competitive advantages in a knowledge-based economy can no longer be attributed to single nodes in the network. Political economies are increasingly reshaped by knowledge-based developments that upset market equilibria and institutional arrangements. The network coordinates the subdynamics of (i) wealth production, (ii) organized novelty production, and (iii) private appropriation versus public control. The interaction terms generate a complex dynamics which cannot be expected to contain central coordination. However, the knowledge infrastructure of systems of innovations can be measured, for example, in terms of university-industry-government relations. The mutual information in these three dimensions indicates the globalization of the knowledge base. Patent statistics and data from the Internet are compared in terms of this indicator.
Kır, Hüseyin; Ekinci, Erdem Eser; Dikenelli, Oguz
In multi-agent system literature, the role concept is getting increasingly researched to provide an abstraction to scope beliefs, norms, goals of agents and to shape relationships of the agents in the organization. In this research, we propose a knowledgebase architecture to increase applicability of roles in MAS domain by drawing inspiration from the self concept in the role theory of sociology. The proposed knowledgebase architecture has granulated structure that is dynamically organized according to the agent's identification in a social environment. Thanks to this dynamic structure, agents are enabled to work on consistent knowledge in spite of inevitable conflicts between roles and the agent. The knowledgebase architecture is also implemented and incorporated into the SEAGENT multi-agent system development framework.
Full Text Available This article explores the potential of Problem Based Learning (PBL for epistemological competence in< an engineering education area. The main idea is to explore how the processes in PBL promote knowledge acquisition that lead to an individual deep content learning. A review has been done from theoretical and conceptual aspect, as well as supportive evidence from several empirical findings. Within this, knowledge is constructed from the basic knowledge of concepts, principles, and procedural knowledge with integration to previous knowledge and experiences. The concepts and principles are linked and integrated with each other, forming a procedural knowledge, which promotes deep content learning. However, supportive evidence from the recent research literature indicates inconclusive findings, which called for more studies to provide more empirical evidence to investigate the effectiveness of PBL on knowledge acquisitions.
Neher, Margit; Ståhl, Christian; Ellström, Per-Erik; Nilsen, Per
As rheumatology nursing develops and extends, knowledge about current use of knowledge in rheumatology nursing practice may guide discussions about future knowledge needs. To explore what perceptions rheumatology nurses have about their knowledge sources and about what knowledge they use in their practice, 12 nurses working in specialist rheumatology were interviewed using a semi-structured interview guide. The data were analyzed using conventional qualitative content analysis. The analysis yielded four types of knowledge sources in clinical practice: interaction with others in the workplace, contacts outside the workplace, written materials, and previous knowledge and experience. Colleagues, and physicians in particular, were important for informal learning in daily rheumatology practice. Evidence from the medical arena was accessed through medical specialists, while nursing research was used less. Facilitating informal learning and continuing formal education is proposed as a way toward a more evidence-based practice in extended roles. PMID:25059719
Banik, Eva; Gardent, Claire; Scott, Donia; Dinesh, Nikhil; Linag, Fennie
In this paper we propose a new shared task where the aim is to produce coherent descriptions of concepts and relationships in a frame-based knowledge base (KB). We propose to use AURA, a freely available KB, for the shared task and illustrate an application context for NLG. We show that the same application context and the need for language generation tools can be generalized to other biology knowledge bases. We argue that the easy availability of input data and a larger research community --...
Thompson, Katerina V; Chmielewski, Jean; Gaines, Michael S; Hrycyna, Christine A; LaCourse, William R
The National Experiment in Undergraduate Science Education project funded by the Howard Hughes Medical Institute is a direct response to the Scientific Foundations for Future Physicians report, which urged a shift in premedical student preparation from a narrow list of specific course work to a more flexible curriculum that helps students develop broad scientific competencies. A consortium of four universities is working to create, pilot, and assess modular, competency-based curricular units that require students to use higher-order cognitive skills and reason across traditional disciplinary boundaries. Purdue University; the University of Maryland, Baltimore County; and the University of Miami are each developing modules and case studies that integrate the biological, chemical, physical, and mathematical sciences. The University of Maryland, College Park, is leading the effort to create an introductory physics for life sciences course that is reformed in both content and pedagogy. This course has prerequisites of biology, chemistry, and calculus, allowing students to apply strategies from the physical sciences to solving authentic biological problems. A comprehensive assessment plan is examining students' conceptual knowledge of physics, their attitudes toward interdisciplinary approaches, and the development of specific scientific competencies. Teaching modules developed during this initial phase will be tested on multiple partner campuses in preparation for eventual broad dissemination. PMID:23737624
Full Text Available Abstract Background Existing biological databases support a variety of queries such as keyword or definition search. However, they do not provide any measure of relevance for the instances reported, and result sets are usually sorted arbitrarily. Results We describe a system that builds upon the complex infrastructure of the Biozon database and applies methods similar to those of Google to rank documents that match queries. We explore different prominence models and study the spectral properties of the corresponding data graphs. We evaluate the information content of principal and non-principal eigenspaces, and test various scoring functions which combine contributions from multiple eigenspaces. We also test the effect of similarity data and other variations which are unique to the biological knowledge domain on the quality of the results. Query result sets are assessed using a probabilistic approach that measures the significance of coherence between directly connected nodes in the data graph. This model allows us, for the first time, to compare different prominence models quantitatively and effectively and to observe unique trends. Conclusion Our tests show that the ranked query results outperform unsorted results with respect to our significance measure and the top ranked entities are typically linked to many other biological entities. Our study resulted in a working ranking system of biological entities that was integrated into Biozon at http://biozon.org.
Full Text Available BACKGROUND: Constructing coexpression networks and performing network analysis using large-scale gene expression data sets is an effective way to uncover new biological knowledge; however, the methods used for gene association in constructing these coexpression networks have not been thoroughly evaluated. Since different methods lead to structurally different coexpression networks and provide different information, selecting the optimal gene association method is critical. METHODS AND RESULTS: In this study, we compared eight gene association methods - Spearman rank correlation, Weighted Rank Correlation, Kendall, Hoeffding's D measure, Theil-Sen, Rank Theil-Sen, Distance Covariance, and Pearson - and focused on their true knowledge discovery rates in associating pathway genes and construction coordination networks of regulatory genes. We also examined the behaviors of different methods to microarray data with different properties, and whether the biological processes affect the efficiency of different methods. CONCLUSIONS: We found that the Spearman, Hoeffding and Kendall methods are effective in identifying coexpressed pathway genes, whereas the Theil-sen, Rank Theil-Sen, Spearman, and Weighted Rank methods perform well in identifying coordinated transcription factors that control the same biological processes and traits. Surprisingly, the widely used Pearson method is generally less efficient, and so is the Distance Covariance method that can find gene pairs of multiple relationships. Some analyses we did clearly show Pearson and Distance Covariance methods have distinct behaviors as compared to all other six methods. The efficiencies of different methods vary with the data properties to some degree and are largely contingent upon the biological processes, which necessitates the pre-analysis to identify the best performing method for gene association and coexpression network construction.
Utilizing ToxCast Data and Lifestage Physiologically-Based Pharmacokinetic (PBPK) models to Drive Adverse Outcome Pathways (AOPs)-Based Margin of Exposures (ABME) to Chemicals. Hisham A. El-Masri1, Nicole C. Klienstreur2, Linda Adams1, Tamara Tal1, Stephanie Padilla1, Kristin Is...
Full text: It is now well acknowledged that considerable Knowledge Management (KM) issues are faced by national and international nuclear communities. Much of these problems relate to issues of an ageing workforce and the significantly reduced influx of new generation of nuclear engineers and scientists. The management discipline of KM contains a broad spectrum of methods and techniques. However, the effective implementation of a KM strategy requires the selection and deployment of appropriate and targeted approaches that are pertinent to the particular issues of the technical or business area within an organisation. A clear strategy is contingent upon an assessment of what are the knowledge areas and what are the key (knowledge) risk areas. In particular the following issues have to be addressed: 'what knowledge exists?', 'what is the nature and format of that knowledge?' and 'what knowledge is key to our continued, safe, and effective operation?'. Answers to such questions will enable an organisation to prioritise KM effort and employ subsequent KM approaches that are appropriate. Subsequent approaches ranging from the utilisation of information technologies, such as databases; knowledge retention methods; and the setting up of Community of Practices to share knowledge and experience. This paper considers a risk assessment based approach to KM. In so doing the paper extends work previously reported on an approach to conducting knowledge audits by considering the integration of that approach with approaches to (knowledge) risk assessment. The paper also provides a brief review of the various KM approaches that can act to reduce the level of risk faced by an organisation. The paper concludes by reflecting upon the role, value of deploying such a risk based approach. (author)
Yan WANG; Scott, Paul J; Jiang, Xiang
The next generations of Geometrical Product Specification (GPS) standards are considered to be too theoretical, abstract, complex and over-elaborate. And it is not easier for industry to understand and implement them efficiently in a short time. An intelligent knowledge-based system, “VirtualSurf” is being developed to solve the problem, particularly for surface texture knowledge, which is a critical part of GPS. This system will provide expert knowledge of surface texture to link...
Tiago, Maria Teresa Borges; Tiago, Flávio Borges
Knowledge management, competitive intelligence, data mining are all buzzwords in a more digital and complex world. Nowadays, digital information and IT-based knowledge creation and application are present in most successful business initiatives. Unveil the surrounding factors of these successes is critical and therefore, this article discusses the relationship of digital patterns to knowledge management creation and application. It argues that some of the enablers and inhibitors come from fir...
Kovačić, Andrej; Bosilj Vukšić, Vesna; Lončar, Anita
This paper analyses the relationship between business process modelling, knowledge management and information systems development projects. The paper’s main objective is to present business rules as the encoded knowledge of corporate business practices. Further, it introduces a rule-based business activity meta-model as a repository in which business knowledge can be captured and traced from their origin in the business environment through to their implementation in information systems. The c...
Verhagen, Wim; Bermell-Garcia, Pablo; Mariot, Pierre; Cotton, Jean-Pierre; Ruiz, Domingo; Redon, Romaric; Curran, Ricky
Abstract The progressive industrialization of composite-built aircraft is putting manufacturing engineers on a steep learning curve. An opportunity exists to use knowledge management tools to capture, share and reuse knowledge over multiple aircraft programs and maintain the constant flow of learning gained during aircraft program delivery. This paper reports on research to develop a knowledge-based cost modelling capability for composite part concept evaluation. The approach integ...
Full Text Available At the theoretical level, within the context of developed countries such as the UK and USA, the paradigm of the emerging 'knowledge economy' is becoming prevalent in sociology, and social sciences more broadly. Leading social scientists see this as a crucial development. This paper challenges the view about the emergence of this new type of economy and looks at the intersection of economics and the sociology of education. Central questions to be addressed here are whether we need a radically new approach to education in the light of the recent developments? Should broad and humanistic goals be subjected to the needs of economy and the labour market? How can we best approach educational planning? Are we witnessing the emergence of the economy of the highly skilled? Are there examples that represent a countervailing power to this hypothesis? Are there instances where we can witness the 'low skills' agenda? In essence, the paper is geared to investigating how these questions can be answered or deflected.
Maloney, Rebecca Scudari
One way to determine if all students can learn through the use of computers is to introduce a lesson taught completely via computers and compare the results with those gained when the same lesson is taught in a traditional manner. This study attempted to determine if a virtual fetal pig dissection can be used as a viable alternative for an actual dissection for females enrolled in high school biology classes by comparing the knowledge acquisition and attitudinal change between the experimental (virtual dissection) and control (actual dissection) groups. Two hundred and twenty-four students enrolled in biology classes in a suburban all-girl parochial high school participated in this study. Female students in an all-girl high school were chosen because research shows differences in science competency and computer usage between the genders that may mask the performance of females on computer-based tasks in a science laboratory exercise. Students who completed the virtual dissection scored significantly higher on practical test and objective tests that were used to measure knowledge acquisition. Attitudinal change was measured by examining the students' attitudes toward dissections, computer usage in the classroom, and toward biology both before and after the dissections using pre and post surveys. Significant results in positive gain scores were found in the virtual dissection group's attitude toward dissections, and their negative gain score toward virtual dissections. Attitudinal changes toward computers and biology were not significant. A purposefully selected sample of the students were interviewed, in addition to gathering a sample of the students' daily dissection journals, as data highlighting their thoughts and feelings about their dissection experience. Further research is suggested to determine if a virtual laboratory experience can be a substitute for actual dissections, or may serve as an enhancement to an actual dissection.
Kuzemin, Alexander; Fastova, Darya; Yanchevsky, Igor
An approach for knowledge extraction from the information arriving to the knowledge base input and also new knowledge distribution over knowledge subsets already present in the knowledge base is developed. It is also necessary to realize the knowledge transform into parameters (data) of the model for the following decision-making on the given subset. It is assumed to realize the decision-making with the fuzzy sets’ apparatus.
赵小蕾; 左晓宇; 覃继恒; 梁岩; 张乃尊; 栾奕昭; 饶绍奇
生物学通路被广泛应用于基因功能学研究,但现有的生物学通路知识并不完善,仍需进一步扩充.生物信息学预测为通路扩充提供了一种有效且经济的途径.文章提出了一种融合蛋白质-蛋白质互作知识以及Gene Ontology(GO)数据库信息进行基因通路预测的新方法.首先选取目标基因在蛋白质-蛋白质互作层面上的邻居所在的Kyoto Encyclopedia of Genes and Genomes(KEGG)通路为候选通路,然后通过检验候选通路中的基因是否在与目标基因关联的GO节点富集来判断目标基因的通路归属.分别利用Human Protein Reference Database(HPRD)和Biological General Repository for Interaction Datasets(BioGRID)数据库中的蛋白质-蛋白质互作信息进行预测.结果表明,在两套数据中,随着互作邻居个数的增加,预测的平均准确率(在所有目标基因注释的通路中被成功预测的比例)及相对准确率(在至少有一个注释通路被成功预测的基因集中,所有注释通路均被预测正确的基因所占的比例)均呈现上升趋势.当互作邻居个数达到22时,预测的平均准确率分别达到96.2％(HPRD)和96.3％(BioGRID),而相对准确率分别为93.3％(HPRD)和84.1％(BioGRID).进一步利用新版数据库对旧版数据库中被更新的89个基因进行验证,至少有一个更新通路被预测正确的基因有50个,其中43个基因的更新通路被完全正确预测,相对准确率为86.0％.这些结果显示该方法是一种可靠且有效的通路扩充方法.
Boer, M.H.T. de; Schutte, K.; Kraaij, W.
A common approach in content based video information retrieval is to perform automatic shot annotation with semantic labels using pre-trained classifiers. The visual vocabulary of state-of-the-art automatic annotation systems is limited to a few thousand concepts, which creates a semantic gap between the semantic labels and the natural language query. One of the methods to bridge this semantic gap is to expand the original user query using knowledge bases. Both common knowledge bases such asW...
Wilkening, Lisa K.; Carr, Dorthe Bame; Young, Christopher John; Hampton, Jeff (Lockheed Martin Mission Services, Houston, TX); Martinez, Elaine
From 2002 through 2006, the Ground Based Nuclear Explosion Monitoring Research & Engineering (GNEMRE) program at Sandia National Laboratories defined and modified a process for merging different types of integrated research products (IRPs) from various researchers into a cohesive, well-organized collection know as the NNSA Knowledge Base, to support operational treaty monitoring. This process includes defining the KB structure, systematically and logically aggregating IRPs into a complete set, and verifying and validating that the integrated Knowledge Base works as expected.
This article describes the application of basic knowledge engineering principles to the design of automated synthesis equipment for radiopharmaceuticals used in Positron Emission Tomography (PET). Before discussing knowledge programming, an overview of the development of automated radiopharmaceutical synthesis systems for PET will be presented. Since knowledge systems will rely on information obtained from machine transducers, a discussion of the uses of sensory feedback in today's automated systems follows. Next, the operation of these automated systems is contrasted to radiotracer production carried out by chemists, and the rationale for and basic concepts of knowledge-based programming are explained. Finally, a prototype knowledge-based system supporting automated radiopharmaceutical manufacturing of 18FDG at Brookhaven National Laboratory (BNL) is described using 1stClass, a commercially available PC-based expert system shell
Full Text Available Nowadays, we may observe that the rules of traditional economy have changed. The new economy – the knowledge based economy determine also major change in organizations resources, structure, strategic objectives, departments, accounting, goods. In our research we want to underline how the accounting rules, regulations and paradigms have changed to cope with political, economic and social challenges, as well as to the emergence of knowledge based organization. We also try to find out where Romanian accounting is on the hard road of evolution from traditional to knowledge based.
A.Nithya Rani,M.C.A.,M.Phil., M.B.A
Full Text Available For the past several years data mining fields hasbeen rapidly increasing and attract many researchers andusers. This reason for such rapid growth is essential need toderive the useful knowledge automatically from volume of datawhich is accumulated and shared worldwide. From thatstorage education, a web based learning environment maydevelop to offer a practical tool for instructors and learners touse the knowledge for teaching and learning. Web based openand dynamic learning environment to be personalized supportfor learners. In this paper we give a study of knowledge miningin web based learning environments
A knowledge-based operator support system for nuclear power plant operation is under development. The main theme of the study is the incorporation of operator's cognitive structure as the framework of the knowledge representation and inference control mechanisms. Based upon information collected from interviews, and experiments using a real-time simulator, an operator's model related to diagnostic tasks was developed. A knowledge-based system incorporating the proposed model demonstrated highly efficient problem solving capabilities and the dynamic fitness to operator's perceptual feeling, thereby suggesting the potential importance and practical benefit of such a study
李莉敏; 唐文献; 方明伦; 杨延麟
The platform of distributed design and resource sharing is important for medium-sized and small companies in developing products to improve competitiveness. As a background of creative product design, a knowledge model based on product collaborative innovation development of products (CIDP) is proposed. Characteristics of CIDP are analyzed, and the framework and key technologies of the CIDP-plafform based knowledge studied. Through integration of existing system and interface designs, a development platform has been built to support the PCID within knowledge-based engineering (KBE). An example is presented, indicating that the prototype system is maneuverable and practical.
Simmons, Robert F.
Describes a prototype natural language text knowledge system (TKS) that was used to organize 50 pages of a handbook on artificial intelligence as an inferential knowledge base with natural language query and command capabilities. Representation of text, database navigation, query systems, discourse structuring, and future research needs are…
Garicano, Luis; Rossi-Hansberg, Esteban
Incorporating the decision of how to organize the acquisition, use, and communication of knowledge into economic models is essential to understand a wide variety of economic phenomena. We survey the literature that has used knowledge-based hierarchies to study issues such as the evolution of wage inequality, the growth and productivity of firms,…
Comacchio, Anna; Pizzi, Claudio
Enriching understanding of the current theoretical debate on project-based open innovation, ‘Project-based Knowledge in Organizing Open Innovation’ draws on innovation management literature and knowledge-based perspectives to investigate the relationship between knowledge development at project level and the strategic organization of open innovation. Addressing the still open issue of how the firm level should be complemented by studies at the project level of analysis, this book provides theoretical and empirical arguments on the advantages of a more fine-grained level of analysis to understand how firms organize their innovation processes across boundaries. The book also addresses the emerging interest in the management literature on project-based organizations, and on the relevance of project forms of organizing in a knowledge-based economy. Through field research in different industrial settings , this book provides empirical evidence on how firms design open innovation project-by-project and it will ...
Barnett, Ellen; Friedrichsen, Patricia J.
Research suggests discipline-specific, educative mentoring can help preservice teachers develop more sophisticated pedagogical content knowledge (PCK). However, there are few studies examining the nature of mentors' practice and how mentors influence preservice teacher's (PST) PCK. The purpose of this case study was to describe the strategies used by a secondary biology mentor teacher to support the development of a PST's PCK. The primary data sources were the transcripts of audio-recorded, daily meetings between the mentor and the PST during two curriculum units: DNA/Protein Synthesis and Evolution. The mentor influenced the PST's teaching orientation by repeatedly comparing teacher- and student-centered approaches, asking him to consider how students learn, and asking him to self-assess whether his instruction aligned with his teaching beliefs. The mentor helped the PST develop topic-specific knowledge of instructional strategies by sharing strategies she used previously, modeling critical reflection, and inviting him to critically reflect on his own instructional strategies. Topic-specific knowledge of students' understanding of science was developed by discussing common student misconceptions revealed in students' conversations and by sharing the results of test-item analysis from previous unit tests. The mentor helped develop the PST's topic-specific knowledge of assessment by helping him critically analyze and revise previous examinations to better align with the current curriculum units. Topic-specific knowledge of curricula was developed by jointly grappling with decisions about concept sequencing within units. The study includes implications for research, science teacher education, and professional development for mentors.
BioTAP, the biology component of the Teacher Assessment Project, explored three modes of performance-based teacher assessment: portfolios, simulations, and portfolio-based simulations. Assessments were designed by a team of university-based researchers and classroom teachers. Assessments were completed by 15 high school biology teachers from a variety of teaching contexts. Portfolios are defined as collections of evidence gathered on site, such as videotapes of instruction. The portfolios had four sections: planning, instruction, assessment, and professional development. Simulation exercises are replications of critical tasks of teaching in a standardized setting, for example, an interview about adapting a textbook. Portfolio-based simulations take advantage of the contextual aspects of portfolios and the standardization of simulations, for example, an interview on student misconceptions about the laboratory experience that was presented in the portfolio. Using a holistic process, teachers were rated in categories derived from the five core propositions of teacher knowledge and skill proposed by the National Board for Professional Teaching Standards. Teachers reported that the assessments had a high degree of fidelity to teaching and provided stimuli to improving teaching. The description presented in this article provides a foundation for those who wish to advance the research in science teacher assessment.
Purpose: • To build repository of information on design and development in a retrievable manner to: • Establish licensing/design bases of the plant; • Identify the known vulnerabilities and how they are to be addressed; • Prevent undoing the lessons learned; • Facilitate advancement without repeating the undesirable incidents of the past
Johnson, W. Lewis; Soloway, Elliot
This report describes PROUST, a computer-based system for online analyses and understanding of PASCAL programs written by novice programmers, which takes as input a program and a non-algorithmic description of the program requirements and finds the most likely mapping between the requirements and the code. Both the theory and processing techniques…
Incantalupo, Lisa; Treagust, David F.; Koul, Rekha
The use of technology in schools is now ubiquitous, but the effectiveness on the learning environment has mixed results. This paper describes the development and validation of an instrument to measure students' attitudes toward and knowledge of technology with the aim of investigating any differences based on gender after a course where the…
Knowledge based (K-based) Help desk system is a knowledge oriented web based system that provides support to business process of the technical service providers. It is a multi-centric system which focuses on end-users, technical workers and higher level management through utilization of knowledge which resides and grows within the system. The objectives of the system are to be a user-friendly, capture technical knowledge for efficient performance and educating users for self reliance. These were achieved through the improvement of the help desk business process and better management of technical knowledge. This system has been tested and implemented in Information Technology Center (IT), Engineering Division (BKJ) and Instrumentation and Automation Center (IAC) at the Malaysian Nuclear Agency (Nuclear Malaysia). Higher levels of user satisfaction and faster growth in technical knowledge repository have been recorded in the system. This paper describes the help desk system in the perspective of management of its technical knowledge contributing to strengthening organizational knowledge asset of Nuclear Malaysia as national nuclear research institution. (Author)
The distributed material database system named 'Data-Free-Way' has been developed by four organizations (the National Institute for Materials Science, the Japan Atomic Energy Research Institute, the Japan Nuclear Cycle Development Institute, and the Japan Science and Technology Corporation) under a cooperative agreement in order to share fresh and stimulating information as well as accumulated information for the development of advanced nuclear materials, for the design of structural components, etc. In order to create additional values of the system, knowledge base system, in which knowledge extracted from the material database is expressed, is planned to be developed for more effective utilization of Data-Free-Way. XML (eXtensible Markup Language) has been adopted as the description method of the retrieved results and the meaning of them. One knowledge note described with XML is stored as one knowledge which composes the knowledge base. Since this knowledge note is described with XML, the user can easily convert the display form of the table and the graph into the data format which the user usually uses. This paper describes the current status of Data-Free-Way, the description method of knowledge extracted from the material database with XML and the distributed material knowledge base system. (author)
Full Text Available Diasporas stand out as an economic or cultural avant-garde of transformation. This is especially true for academic and other intellectual Diaspora communities, because science and knowledge creation are global enterprises. Proclivity of knowledge workers to move in order to improve and absorb transnational knowledge through Diaspora networks might be an essential quality of an emerging national economy of a developing country. The article treats the role of expert Diaspora in knowledge based economy, innovation and talent management. Besides presenting the essentials of knowledge based economy and innovation, it discusses the role of expert Diaspora in science, technology and innovation (STI capacity building. Also, the article emphasizes the importance of leadership for talent and its implications for Diaspora. Using WEF statistics, it illustrates negative consequences of the sad policy of “Chaseaway the brightest and the best” for innovative capacity, competitiveness, and prosperity of nations.
Santosa, Munirah Mohamad; Low, Blaise Su Jun; Pek, Nicole Min Qian; Teo, Adrian Kee Keong
In the field of stem cell biology and diabetes, we and others seek to derive mature and functional human pancreatic β cells for disease modeling and cell replacement therapy. Traditionally, knowledge gathered from rodents is extended to human pancreas developmental biology research involving human pluripotent stem cells (hPSCs). While much has been learnt from rodent pancreas biology in the early steps toward Pdx1+ pancreatic progenitors, much less is known about the transition toward Ngn3+ p...
Wang Leigang; Deng Dongrnei; Liu Zhubai
Guided by developing forging technology theory,designing rules on rotor forging process are summed up.Knowledge-based CAPP system for rotor forging is created.The system gives a rational and optimum process.
Qi, Guilin; Liu, Weiru; Bell, David A
Belief merging is an important but difficult problem in Artificial Intelligence, especially when sources of information are pervaded with uncertainty. Many merging operators have been proposed to deal with this problem in possibilistic logic, a weighted logic which is powerful for handling inconsistency and deal- ing with uncertainty. They often result in a possibilistic knowledge base which is a set of weighted formulas. Although possibilistic logic is inconsistency tolerant, it suers from the well-known "drowning effect". Therefore, we may still want to obtain a consistent possi- bilistic knowledge base as the result of merg- ing. In such a case, we argue that it is not always necessary to keep weighted informa- tion after merging. In this paper, we define a merging operator that maps a set of pos- sibilistic knowledge bases and a formula rep- resenting the integrity constraints to a clas- sical knowledge base by using lexicographic ordering. We show that it satisfies nine pos- tulates that generalize basic...
National Aeronautics and Space Administration — This presentation will review the use of knowledge management in the development and support of Condition Based Maintenance (CBM) systems for complex systems with...
Chen, Bo-Nian; Liu, Pangfang; Hsu, Shun-Chin; Hsu, Tsan-Sheng
Endgame heuristics are often incorperated as part of the evaluation function used in Chinese Chess programs. In our program, Contemplation, we have proposed an automatic strategy to construct a large set of endgame heuristics. In this paper, we propose a conflict resolution strategy to eliminate the conflicts among the constructed heuristic databases, which is called endgame knowledge base. In our experiment, the correctness of the obtained constructed endgame knowledge base is sufficiently high for practical usage.
Cliff, D.; Noble, J
The vast majority of work in machine vision emphasizes the representation of perceived objects and events: it is these internal representations that incorporate the 'knowledge' in knowledge-based vision or form the 'models' in model-based vision. In this paper, we discuss simple machine vision systems developed by artificial evolution rather than traditional engineering design techniques, and note that the task of identifying internal representations within such systems is made difficult by t...
A.Nithya Rani,M.C.A.,M.Phil., M.B.A; Dr. Antony Selvdoss Davamani
For the past several years data mining fields hasbeen rapidly increasing and attract many researchers andusers. This reason for such rapid growth is essential need toderive the useful knowledge automatically from volume of datawhich is accumulated and shared worldwide. From thatstorage education, a web based learning environment maydevelop to offer a practical tool for instructors and learners touse the knowledge for teaching and learning. Web based openand dynamic learning environment to be ...
Meng, Changping; 蒙昌平
A knowledge base, such as Yago or DBpedia, can be modeled as a large graph with nodes and edges annotated with class and relationship labels. Recent work has studied how to make use of these rich information sources. In particular, meta-paths, which represent sequences of node classes and edge types between two nodes in a knowledge base, have been proposed for such tasks as information retrieval, decision making, and product recommendation. Current methods assume meta-paths are found by domai...
NICOLETA RADNEANTU; EMILIA GABROVEANU; ROXANA STAN
Nowadays, we may observe that the rules of traditional economy have changed. The new economy – the knowledge based economy determine also major change in organizations resources, structure, strategic objectives, departments, accounting, goods. In our research we want to underline how the accounting rules, regulations and paradigms have changed to cope with political, economic and social challenges, as well as to the emergence of knowledge based organization. We also try to find out where ...
Babic, A.; Mathiesen, U.; Hedin, K.; Bodemar, G.; Wigertz, O.
Discovering not yet seen knowledge from clinical data is of importance in the field of asymptomatic liver diseases. Avoidance of liver biopsy which is used as the ultimate confirmation of diagnosis by making the decision based on relevant laboratory findings only, would be considered an essential support. The system based on Quinlan's ID3 algorithm was simple and efficient in extracting the sought knowledge. Basic principles of applying the AI systems are therefore described and complemented ...
At present, at global level, is more and more visible the fact that the information and knowledge exercise a decisive impact over the functionality and performance of organizations, assuring the sustainability of the economy on long term. Switching to economy based on knowledge is an inevitable process, particularly complex and difficult, that generates for organizations many opportunities and creates, in the same time, an ideal framework for sustainable development. Building the economy base...
Cowan, R.; Harison, E.
Intellectual property rights (IPR) have been created as economic mechanisms to facilitate ongoing innovation by granting inventors a temporary monopoly in return for disclosure of technical know-how. Since the beginning of 1980s, IPR have come under scrutiny as new technological paradigms appeared with the emergence of knowledge-based industries. Knowledge-based products are intangible, non-excludable and non-rivalrous goods. Consequently, it is difficult for their creators to control their d...
Saleem, Arshad; Lind, Morten
This paper presents a mechanism for developing knowledge based support in multiagent based control and diagnosis. In particular it presents a way for autonomous agents to utilize a qualitative means-ends based model for reasoning about control situations. The proposed mechanism have been used in ...
Full Text Available The widespread enthusiasm for a knowledge-based approach to understanding the nature of a business and the possible basis for sustained competitive advantage have renewed interest in human capital evaluation or measurement. While many attempts have been made to develop methods for measuring intellectual capital, none have been widely adopted in the business world. In the knowledge-based organizations, and generally, in the information society, human capital is recognized as the fundamental factor of overall progress, and experts agree that long-term investment in human capital has strong drive-propagation effects at the individual, organizational, national and global level. In this paper, we consider that a knowledge-based approach can offer new possibilities and answers to illustrate the importance of evaluation the human capital and knowledge assets by consistently generating added value in the business world.
Guang Lan Zhang
Full Text Available With the vast amount of immunological data available, immunology research is entering the big data era. These data vary in granularity, quality, and complexity and are stored in various formats, including publications, technical reports, and databases. The challenge is to make the transition from data to actionable knowledge and wisdom and bridge the knowledge gap and application gap. We report a knowledge-based approach based on a framework called KB-builder that facilitates data mining by enabling fast development and deployment of web-accessible immunological data knowledge warehouses. Immunological knowledge discovery relies heavily on both the availability of accurate, up-to-date, and well-organized data and the proper analytics tools. We propose the use of knowledge-based approaches by developing knowledgebases combining well-annotated data with specialized analytical tools and integrating them into analytical workflow. A set of well-defined workflow types with rich summarization and visualization capacity facilitates the transformation from data to critical information and knowledge. By using KB-builder, we enabled streamlining of normally time-consuming processes of database development. The knowledgebases built using KB-builder will speed up rational vaccine design by providing accurate and well-annotated data coupled with tailored computational analysis tools and workflow.
Increasingly sophisticated knowledge about RNA structure and function requires an inclusive knowledge representation that facilitates the integration of independently –generated information arising from such efforts as genome sequencing projects, microarray analyses, structure determination and RNA SELEX experiments. While RNAML, an XML-based representation, has been proposed as an exchange format for a select subset of information, it lacks domain-specific semantics that are essential for answering questions that require expert knowledge. Here, we describe an RNA knowledge base (RKB) for structure-based knowledge using RDF/OWL Semantic Web technologies. RKB extends a number of ontologies and contains basic terminology for nucleic acid composition along with context/model-specific structural features such as sugar conformations, base pairings and base stackings. RKB (available at http://semanticscience.org/projects/rkb) is populated with PDB entries and MC-Annotate structural annotation. We show queries to the RKB using description logic reasoning, thus opening the door to question answering over independently-published RNA knowledge using Semantic Web technologies. PMID:20626922
Juttner, Melanie; Boone, Williame; Park, Soonhye; Neuhaus, Birgit J.
Research on teachers' professionalism and professional development has increased in the last two decades. A main focus of this line of research has been the cognitive component of teacher professionalism, i.e., professional knowledge. Most of the previous studies on teacher knowledge--such as the Learning Mathematics for Teaching (LMT) (Hill et…
As background knowledge of geographic information retrieval (GIR),the gazetteers have their limitations. In this paper we propose to develop and implement a com-mon sense geographic knowledge base (CSGKB) instead of the gazetteers. We define that CSGKB is concerned with the representation of geographic knowledge in human brain and the simulation of geographic reasoning in daily life. Traditional geographic information system (GIS) is based on the model of map with its data based on geographic coordinates and its computation based on geometry. However,CSGKB,which is made up of geographic features and relationships and is based on qualitative spatio-temporal reasoning,can be viewed as the direct model of geographic world. This paper also discusses the characters of CSGKB and pre-sents its structure which is composed of knowledge base,inference engine,geo-graphic ontology and learner. The applications using CSGKB include geographic information retrieval (GIR),natural language processing (NLP),named entity rec-ognition (NER),Semantic Web,etc. At present,our work focuses on the design of geographic ontology and the implementation of the CSGKB knowledge base. In this paper we describe the CSGKB ontology structure,top ontology,geographic loca-tion ontology,spatial relationship ontology,and domain ontologies. Finally,we in-troduce the current state of implementation of CSGKB and give an outlook on our future researches.
The paper presents the design of an expert system for fouling assessment in power plant boilers. It is an on-line expert system based on selected criteria for the fouling assessment. Using criteria for fouling assessment based on 'clean' and 'not-clean' radiation heat flux measurements, the diagnostic variable are defined for the boiler heat transfer surface. The development of the prototype knowledge-based system for fouling assessment in power plants boiler comprise the integrations of the elements including knowledge base, inference procedure and prototype configuration. Demonstration of the prototype knowledge-based system for fouling assessment was performed on the Sines power plant. It is a 300 MW coal fired power plant. 12 fields are used with 3 on each side of boiler
Gonzalez, Avelino J.; Myler, Harley R.; Towhidnejad, Massood; Mckenzie, Frederic D.; Kladke, Robin R.
The concept of accessing computer aided design (CAD) design databases and extracting a process model automatically is investigated as a possible source for the generation of knowledge bases for model-based reasoning systems. The resulting system, referred to as automated knowledge generation (AKG), uses an object-oriented programming structure and constraint techniques as well as internal database of component descriptions to generate a frame-based structure that describes the model. The procedure has been designed to be general enough to be easily coupled to CAD systems that feature a database capable of providing label and connectivity data from the drawn system. The AKG system is capable of defining knowledge bases in formats required by various model-based reasoning tools.
A knowledge based system has been developed to support designers in control rod programming of BWRs. The programming searches through optimal control rod patterns to realize safe and effective burning of nuclear fuel. Knowledge of experienced designers plays the main role in minimizing the number of calculations by the core performance evaluation code. This code predicts power distibution and thermal margins of the nuclear fuel. This knowledge is transformed into 'if-then' type rules and subroutines, and is stored in a knowledge base of the knowledge based system. The system consists of working area, an inference engine and the knowledge base. The inference engine can detect those data which have to be regenerated, call those subroutine which control the user's interface and numerical computations, and store competitive sets of data in different parts of the working area. Using this system, control rod programming of a BWR plant was traced with about 500 rules and 150 subroutines. Both the generation of control rod patterns for the first calculation of the code and the modification of a control rod pattern to reflect the calculation were completed more effectively than in a conventional method. (author)
Stantchev, Vladimir; Franke, Marc Roman
Knowledge-based enterprises are typically conducting a large number of research and development projects simultaneously. This is a particularly challenging task in complex and diverse project landscapes. Project Portfolio Management (PPM) can be a viable framework for knowledge and innovation management in such landscapes. A standardized process with defined functions such as project data repository, project assessment, selection, reporting, and portfolio reevaluation can serve as a starting point. In this work we discuss the benefits a multidimensional evaluation framework can provide for knowledge-based enterprises. Furthermore, we describe a knowledge and learning strategy and process in the context of PPM and evaluate their practical applicability at different stages of the PPM process.
The refuse collection vehicle is manufactured by local vehicle body manufacturer. Currently; the company supplied six model of the waste compactor truck to the local authority as well as waste management company. The company is facing difficulty to acquire the knowledge from the expert when the expert is absence. To solve the problem, the knowledge from the expert can be stored in the expert system. The expert system is able to provide necessary support to the company when the expert is not available. The implementation of the process and tool is able to be standardize and more accurate. The knowledge that input to the expert system is based on design guidelines and experience from the expert. This project highlighted another application on knowledge-based system (KBS) approached in trouble shooting of the refuse collection vehicle production process. The main aim of the research is to develop a novel expert fault diagnosis system framework for the refuse collection vehicle
Tan, CheeFai; Juffrizal, K.; Khalil, S. N.; Nidzamuddin, M. Y. [Centre of Advanced Research on Energy, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Durian Tunggal, Melaka (Malaysia)
The refuse collection vehicle is manufactured by local vehicle body manufacturer. Currently; the company supplied six model of the waste compactor truck to the local authority as well as waste management company. The company is facing difficulty to acquire the knowledge from the expert when the expert is absence. To solve the problem, the knowledge from the expert can be stored in the expert system. The expert system is able to provide necessary support to the company when the expert is not available. The implementation of the process and tool is able to be standardize and more accurate. The knowledge that input to the expert system is based on design guidelines and experience from the expert. This project highlighted another application on knowledge-based system (KBS) approached in trouble shooting of the refuse collection vehicle production process. The main aim of the research is to develop a novel expert fault diagnosis system framework for the refuse collection vehicle.
Fransson, Anders; Håkanson, Lars; W. Liesch, Peter
parties; and (2) that the threat of opportunism is not necessary, although it may be sufficient, to explain the existence of the MNC. Their knowledge-based view shifted the conceptualization of the firm from an institution arising from market failure and transaction costs economizing to a progeny of......In this note we revisit two core propositions of the knowledge-based view of the firm found in the seminal work of Kogut and Zander: (1) that multinational corporations (MNCs) exist because transfers and re-combinations of knowledge occur more efficiently inside MNCs than between MNCs and third...... superior knowledge governance. We question these conclusions, arguing that firms are but one of the many types of “epistemic communities” possessing and nurturing procedural norms, identity, and the cognitive, linguistic and reflexive attributes conducive to efficient exchange and re-combination of...
Knight, K; Knight, Kevin; Luk, Steve K.
Knowledge-based machine translation (KBMT) systems have achieved excellent results in constrained domains, but have not yet scaled up to newspaper text. The reason is that knowledge resources (lexicons, grammar rules, world models) must be painstakingly handcrafted from scratch. One of the hypotheses being tested in the PANGLOSS machine translation project is whether or not these resources can be semi-automatically acquired on a very large scale. This paper focuses on the construction of a large ontology (or knowledge base, or world model) for supporting KBMT. It contains representations for some 70,000 commonly encountered objects, processes, qualities, and relations. The ontology was constructed by merging various online dictionaries, semantic networks, and bilingual resources, through semi-automatic methods. Some of these methods (e.g., conceptual matching of semantic taxonomies) are broadly applicable to problems of importing/exporting knowledge from one KB to another. Other methods (e.g., bilingual match...
Tan, CheeFai; Juffrizal, K.; Khalil, S. N.; Nidzamuddin, M. Y.
The refuse collection vehicle is manufactured by local vehicle body manufacturer. Currently; the company supplied six model of the waste compactor truck to the local authority as well as waste management company. The company is facing difficulty to acquire the knowledge from the expert when the expert is absence. To solve the problem, the knowledge from the expert can be stored in the expert system. The expert system is able to provide necessary support to the company when the expert is not available. The implementation of the process and tool is able to be standardize and more accurate. The knowledge that input to the expert system is based on design guidelines and experience from the expert. This project highlighted another application on knowledge-based system (KBS) approached in trouble shooting of the refuse collection vehicle production process. The main aim of the research is to develop a novel expert fault diagnosis system framework for the refuse collection vehicle.
Keyser, R.; Shepard-Dombroski, E.; Baur, D.; Hipp, J.; Moore, S.; Young, C.; Chael, E.
This document examines a number of different software technologies in the rapidly changing field of database management systems, evaluates these systems in light of the expected needs of the Comprehensive Test Ban Treaty (CTBT) Knowledge Base, and makes some recommendations for the initial prototypes of the Knowledge Base. The Knowledge Base requirements are examined and then used as criteria for evaluation of the database management options. A mock-up of the data expected in the Knowledge Base is used as a basis for examining how four different database technologies deal with the problems of storing and retrieving the data. Based on these requirement and the results of the evaluation, the recommendation is that the Illustra database be considered for the initial prototype of the Knowledge Base. Illustra offers a unique blend of performance, flexibility, and features that will aid in the implementation of the prototype. At the same time, Illustra provides a high level of compatibility with the hardware and software environments present at the US NDC (National Data Center) and the PIDC (Prototype International Data Center).
The field of knowledge-based systems (KBS) has expanded enormously during the last years, and many important techniques and tools are currently available. Applications of KBS range from medicine to engineering and aerospace.This book provides a selected set of state-of-the-art contributions that present advanced techniques, tools and applications. These contributions have been prepared by a group of eminent researchers and professionals in the field.The theoretical topics covered include: knowledge acquisition, machine learning, genetic algorithms, knowledge management and processing under unc
Hvam, Lars; Malis, Martin
lot of knowledge isput into these systems and many domain experts are involved. This calls for an effective documentation system in order to structure this knowledge in a way that fits to the systems. Standard configuration systems do not support this kind of documentation. The chapter deals with the...... development of a Lotus Notes application that serves as a knowledge based documentation tool for configuration projects. A prototype has been developed and tested empirically in an industrial case-company. It has proved to be a succes....
Choudhary A.K.; Harding J.A.; Swarnkar R.; Das B.P.; Young R.I.
Collaboration Moderator Services (CMS) as an evolution of earlier Moderator research has emerged to address the issues relating to knowledge based collaboration by providing a set of functionalities such as raising awareness of business opportunities, problems areas, conflicts, change in the item of interests and lessons learned from collaboration. This paper presents a framework for learning CMS within the context of SYNERGY project. It has been shown that knowledge miners of CMS can be used...
Diana-Maria CISMARU; LEOVARIDIS, Cristina
Knowledge-based organizations are constructed on intangible assets, such as the expertise and the values of the employees. As a consequence, motivation and professional excellence of employees are the main objectives of management teams. For this type of organizations, considered as true “knowledge systems”, the employees represent the most valuable resource that is not motivated only through financial means, but also through internal communication, autonomy or social rewards. The research of...
Diana-Maria CISMARU; LEOVARIDIS, Cristina
Knowledge-based organizations are constructed on intangible assets, such as the expertise and the values of the employees. As a consequence, motivation and professional excellence of employees are the main objectives of management teams. For this type of organizations, considered as true “knowledge systems”, the employees represent the most valuable resource that is not motivated only through financial means, but also through internal communication, autonomy or social rewards. The research of...
The economic, political, social, cultural, technological, etc. changes the XXI-st century is facing trigger modifications at the level of the economy, society, organization and of the management of this one. Such transformations result in the appearance of new trends at the international level, and an example would be the fact that the economy, society, organization and management that are based on knowledge have knowledge as the central element. Upon having adapted to the new world-wide tren...
Rowinska-Schwarzweller, Agnieszka; Schwarzweller, Christoph
A lot of mathematical knowledge has been formalized and stored in repositories by now: different mathematical theorems and theories have been taken into consideration and included in mathematical repositories. Applications more distant from pure mathematics, however --- though based on these theories --- often need more detailed knowledge about the underlying theories. In this paper we present an example Mizar formalization from the area of electrical engineering focusing on stability theory ...
Technological and informational progress is among the leading factors that allow the increasing degree of economical liberalization and the shaping of a society that is based, first of all, an knowledge. From the first industrial revolution, the progress has manifested increasingly strong, it has changed lifestyles, it has significantly improved the people living standards and it has became the desire of all countries regardless of their level of development. The knowledge, in quantitative an...
Fernández Caballero, Antonio; Sokolova, Marina
Monitoring of negative effects of urban pollution and real-time decision making allow to clarify consequences upon human health. Large amounts of raw data information describe this situation, and to get knowledge from it, we apply intelligent agents. Further modeling and simulation gives the new knowledge about the tendencies of situation development and about its structure. Agent-based decision support system can help to foresee possible ways of situation development and contribute to effect...
Aler, Ricardo; Borrajo, Daniel; Camacho, David; Sierra Alonso, Almudena
In this paper we present an initial overview of shamash, a process modeling tool for Business Process Reengineering. The main features that differentiate it from most current related tools are its ability to define and use organisation standards, and functional structure, and make automatic model simulation and optimisation of them. shamash is a knowledge based system, and we include a discussion on how knowledge acquisition did take place. Furthemore, we introduce a high level description of...
Bayegan, Elisabeth; Tu, Samson
In contrast to existing computerized patient record systems, which merely offer static functionality for storage and presentation, a helpful patient record system is a problem-oriented, knowledge-based system which provides the clinician with situation-specific information from the patient record, relevant to the activity within the patient care process. We suggest extending the data model of current patient record systems with (1) knowledge for recognizing and interpreting care situations, (...
Jana Nowakova; Miroslav Pokorny
The designing of PID controllers is a frequently discussed problem. Many of the design methods have been developed, classic (analytical tuning methods, optimization methods etc.) or not so common fuzzy knowledge based methods. The aim of design methods is in designing of controllers to achieve good setpoint following, corresponding time response etc. In this case, the new way of designing PID controller parameters is created where the above mentioned knowledge system ...
Full Text Available One of the goals of the graduate Program in Molecular Biology from UNIFESP (PrMB -UNIFESP is to contribute for continuing education of biology teachers from public high schools. A close relation between university and public schools is an important channel for dissemination of scientific knowledge. Thus, a 40h Molecular Biology updating course was offered to 20 high school teachers. The objective was to discuss genomic and proteomic advances and their application. The course was organized by graduate students from PrMB -UNIFESP. Three groups ofstudents were formed, two being responsible for theorical and practical classes and one for global logistic including searching for financial support. The themes presented to the teachers were flow of genetic information, recombinant DNA, gene cloning, transgenic plants and animals, mutation, super bacteria and stem cell. The teachers also had hands-on classes including DNA extraction, PCR, gene cloning and SDS-PAGE. The teachers received an assignment to go back to their s chools and do some activity with their students that would be related to the themes discussed. The students produced videos, discussions, posters, theater, experimental models and pratical classes related to the course themes. After 3 months the teachers r eturned to show their students’ work. We conclude that information was transmitted to the teachers, updating them, and to high school students, that learned science in a entertaining way. Also, the graduate students had an experience on how to organize a c ourse including all its responsibilities.
To enable the efficient reuse of standard based medical data we propose to develop a higher level information model that will complement the archetype model of ISO 13606. This model will make use of the relationships that are specified in UML to connect medical archetypes into a knowledge base within a repository. UML connectors were analyzed for their ability to be applied in the implementation of a higher level model that will establish relationships between archetypes. An information model was developed using XML Schema notation. The model allows linking different archetypes of one repository into a knowledge base. Presently it supports several relationships and will be advanced in future. PMID:25160140
Biological systems are characterized by a large number of diverse interactions. Interaction maps have been used to abstract those interactions at all biological scales ranging from food webs at the ecosystem level down to protein interaction networks at the molecular scale.
Boochs, F.; Karmacharya, A.; Marbs, A.
Object identification and object processing in 3D point clouds have always posed challenges in terms of effectiveness and efficiency. In practice, this process is highly dependent on human interpretation of the scene represented by the point cloud data, as well as the set of modeling tools available for use. Such modeling algorithms are data-driven and concentrate on specific features of the objects, being accessible to numerical models. We present an approach that brings the human expert knowledge about the scene, the objects inside, and their representation by the data and the behavior of algorithms to the machine. This "understanding" enables the machine to assist human interpretation of the scene inside the point cloud. Furthermore, it allows the machine to understand possibilities and limitations of algorithms and to take this into account within the processing chain. This not only assists the researchers in defining optimal processing steps, but also provides suggestions when certain changes or new details emerge from the point cloud. Our approach benefits from the advancement in knowledge technologies within the Semantic Web framework. This advancement has provided a strong base for applications based on knowledge management. In the article we will present and describe the knowledge technologies used for our approach such as Web Ontology Language (OWL), used for formulating the knowledge base and the Semantic Web Rule Language (SWRL) with 3D processing and topologic built-ins, aiming to combine geometrical analysis of 3D point clouds, and specialists' knowledge of the scene and algorithmic processing.
This paper presents a framework called logical knowledge object (LKO),which is taken as a basis of the dependable development of knowledge based systems(KBSs).LKO combines logic programming and object-oriented programming paradigms,where objects are viewed as abstractions with states,constraints,behaviors and inheritance.The operational semantics defined in the style of natural semantics is simple and clear.A hybrid knowledge representation amalgamating rule,frame,semantic network and blackboard is available for both most structured and flat knowledge.The management of knowledge bases has been formally specified.Accordingly,LKO is well suited for the formal representation of knowledge and requirements of KBSs.Based on the framework,verification techniques are also explored to enhance the analysis of requirement specifications and the validation of KBSs.In addition,LKO provides a methodology for the development of KBSs,applying the concepts of rapid prototyping and top-down design to deal with changing and incomplete requirements,and to provide multiple abstract models of the domain,where formal methods might be used at each abstract level.
Background Soybean Knowledge Base (SoyKB) is a comprehensive all-inclusive web resource for soybean translational genomics. SoyKB is designed to handle the management and integration of soybean genomics, transcriptomics, proteomics and metabolomics data along with annotation of gene function and biological pathway. It contains information on four entities, namely genes, microRNAs, metabolites and single nucleotide polymorphisms (SNPs). Methods SoyKB has many useful tools such as Affymetrix pr...
In order to enhance safety and reliability of nuclear plant operation, it is strongly desired to construct diagnostic knowledge base without lacking, contradiction, and description inconsistency. Nowadays, an advanced method Knowledge Compiler' has been studied to acquire diagnostic knowledge, mainly based on qualitative reasoning technique, without accumulating heuristics by interviews. Until now, 2 methods to suppress the ambiguity observed when qualitative reasoning mechanism were applied to heat transport systems of nuclear power plants: In the first method, qualitative values are allocated to the system variables along with the causality direction, avoiding contradictions among plural variables in each qualitative constraint describing knowledge of deviation propagation, heat balance, or energy conservation. In the second method, all the qualitative information is represented as a set of simultaneous qualitative equations. And, an appropriate subset is selected so that the qualitative solutions of unknowns in this subset can be derived independently of the remaining part. A contrary method is applied for the selected subset to derive local solutions. Then the problem size is reduced by substituting solutions of the subset, in a recursive manner. In the previous report on this research project, complete computer softwares have been constructed based on these methods, and applied to a 2-loop heat transport system of a nuclear power plant. The detailed results are discussed in this report. In addition, an integrated configuration of diagnostic knowledge generation system of nuclear power plants is proposed, based upon the results and new foundings obtained through the research activities so far, and the future works to overcome remaining problems are also identified. (author)
An expert system for traffic safety uses a "knowledge-base" for the interpretation of the "databases" in which accident data and the characteristics of roads and traffic are stored. Computerized procedures are developed for detection, diagnosis, and remedy. The procedures will be based on what is kn
Olivarius, Niels de Fine; Kousgaard, Marius Brostrom; Reventlow, Susanne; Quelle, Dan Grevelund; Tulinius, Charlotte
Professional, knowledge-based institutions have a particular form of organization and culture that makes special demands on the strategic planning supervised by research administrators and managers. A model for dynamic strategic planning based on a pragmatic utilization of the multitude of strategy models was used in a small university-affiliated…
Andreasen, Troels; Nilsson, Jørgen Fischer
We argue in favour of adopting a form of natural logic for ontology-structured knowledge bases as an alternative to description logic and rule based languages. Natural logic is a form of logic resembling natural language assertions, unlike description logic. This is essential e.g. in life sciences...
Graaff, de Victor; Venis, van de Anne; Keulen, van Maurice; By, de Rolf A.
Recommender systems have been around for decades to help people find the best matching item in a pre-defined item set. Knowledge-based recommender systems are used to match users based on information that links the two, but they often focus on a single, specific application, such as movies to watch
WANG Lan-cheng; JIANG Dan; LE Jia-jin
This paper is based on two existing theories about automatic indexing of thematic knowledge concept. The prohibit-word table with position information has been designed. The improved Maximum Matching-Minimum Backtracking method has been researched. Moreover it has been studied on improved indexing algorithm and application technology based on rules and thematic concept word table.
Mustapha, Ramlee; Abdullah, Abu
The emergence of a knowledge-based economy (k-economy) has spawned a "new" notion of workplace literacy, changing the relationship between employers and employees. The traditional covenant where employees expect a stable or lifelong employment will no longer apply. The retention of employees will most probably be based on their skills and…
Riedesel, Joel D.
Artificial intelligence application requirements demand powerful representation capabilities as well as efficiency for real-time domains. Many tools exist, the most prevalent being expert systems tools such as ART, KEE, OPS5, and CLIPS. Other tools just emerging from the research environment are truth maintenance systems for representing non-monotonic knowledge, constraint systems, object oriented programming, and qualitative reasoning. Unfortunately, as many knowledge engineers have experienced, simply applying a tool to an application requires a large amount of effort to bend the application to fit. Much work goes into supporting work to make the tool integrate effectively. A Knowledge Management Design System (KNOMAD), is described which is a collection of tools built in layers. The layered architecture provides two major benefits; the ability to flexibly apply only those tools that are necessary for an application, and the ability to keep overhead, and thus inefficiency, to a minimum. KNOMAD is designed to manage many knowledge bases in a distributed environment providing maximum flexibility and expressivity to the knowledge engineer while also providing support for efficiency.
Regassa, Laura B.; Morrison-Shetlar, Alison I.
Inquiry-based learning was used to enhance an undergraduate molecular biology course at Georgia Southern University, a primarily undergraduate institution in rural southeast Georgia. The goal was to use a long-term, in-class project to accelerate higher-order thinking, thereby enabling students to problem solve and apply their knowledge to novel…
Smith, Terence; Peuquet, Donna; Menon, Sudhakar; Agarwal, Pankaj
The architecture and working of a recently implemented Knowledge-Based Geographic Information System (KBGIS-II), designed to satisfy several general criteria for the GIS, is described. The system has four major functions including query-answering, learning and editing. The main query finds constrained locations for spatial objects that are describable in a predicate-calculus based spatial object language. The main search procedures include a family of constraint-satisfaction procedures that use a spatial object knowledge base to search efficiently for complex spatial objects in large, multilayered spatial data bases. These data bases are represented in quadtree form. The search strategy is designed to reduce the computational cost of search in the average case. The learning capabilities of the system include the addition of new locations of complex spatial objects to the knowledge base as queries are answered, and the ability to learn inductively definitions of new spatial objects from examples. The new definitions are added to the knowledge base by the system. The system is performing all its designated tasks successfully. Future reports will relate performance characteristics of the system.
Smith, T.; Peuquet, D.; Menon, S.; Agarwal, P.
The architecture and working of a recently implemented knowledge-based geographic information system (KBGIS-2) that was designed to satisfy several general criteria for the geographic information system are described. The system has four major functions that include query-answering, learning, and editing. The main query finds constrained locations for spatial objects that are describable in a predicate-calculus based spatial objects language. The main search procedures include a family of constraint-satisfaction procedures that use a spatial object knowledge base to search efficiently for complex spatial objects in large, multilayered spatial data bases. These data bases are represented in quadtree form. The search strategy is designed to reduce the computational cost of search in the average case. The learning capabilities of the system include the addition of new locations of complex spatial objects to the knowledge base as queries are answered, and the ability to learn inductively definitions of new spatial objects from examples. The new definitions are added to the knowledge base by the system. The system is currently performing all its designated tasks successfully, although currently implemented on inadequate hardware. Future reports will detail the performance characteristics of the system, and various new extensions are planned in order to enhance the power of KBGIS-2.
Wang, Chengbo; Johansen, John; Luxhøj, James T.;
practices and activity patterns are based on learning and applying the knowledge internal and external to an organisation. To ensure their smooth formulation process, there are two important techniques designed – an expert adaptation approach and an expert evaluation approach. These two approaches provide...... structured processes to execute the organisational learning and knowledge application, which intend to guide the practitioners during the process of manufacturing competence development and improvement. They are based on Case-Based Reasoning (CBR) methodology and rely on cases as the primary knowledge supply....... This paper aims to present the two approaches; introduce two types of tests on these approaches to verify their functionality: role-play testing and real world application testing; and summarises the applicability of the two approaches....
es for analyzing, understanding, reforming and perfecting theobjective world. This paper presents a Systems-Science-Based Knowledge Model (SSBKM) to establish a more general knowledge structure model. It can be regarded as a development of frame representation for discovering and constructing slot structures as well as the frame structures. With this model the paper also presents a System-Sciences-Based Object-Oriented Analysis method (SSBOOA), which is a strategy to find and determine object classes and class structures, the relations between object instances of different classes, not to just explain classes. Finally, the paper illustrates knowledge analysis and computerizing (synthesizing) steps in an example of SSBKM of cognitive psychology-based CAI Network for Teaching Middle School Mathematics.
This paper deals with the design of a knowledge based system for solving an industrial problem which occurs in nuclear fuel management. The problem lies in determining satisfactory loading patterns for nuclear plants. Its primary feature consists in the huge search space involved. Conventional resolution processes are formally defined and analyzed: there is no general algorithm which guarantees to always provide a reasonable solution in each situation. We propose a new approach to solve this constrained search problem using domain-specific knowledge and general constraint-based heuristics. During a preprocessing step, a problem dependent search algorithm is designed. This procedure is then automatically implemented in FORTRAN. The generated routines have proved to be very efficient finding solutions which could not have been provided using logic programming. A prototype expert system has already been applied to actual reload pattern searches. While combining efficiency and flexibility, this knowledge based system enables human experts to rapidly match new constraints and requirements
The main aim of this paper is to analyze the transformation of Poland to knowledge based economy on the basis of World Bank’s Knowledge Assessment Methodology. The analysis of change will be used to compare the performance (strengths and weaknesses) of Polish economy in 1994, 2004 and 2014 with regard to the main aspects of knowledge based economy.
HAN Yan-ling; YANG Bing-ru; CAO Shou-qi
During the procedure of fault diagnosis for large-scale complicated equipment, the existence of redundant and fuzzy information results in the difficulty of knowledge access. Aiming at this characteristic, this paper brought forth the Rough Set (RS) theory to the field of fault diagnosis. By means of the RS theory which is predominant in the way of dealing with fuzzy and uncertain information,knowledge access about fault diagnosis was realized. The foundation ideology of the RS theory was exhausted in detail, an amended RS algorithm was proposed, and the process model of knowledge access based on the amended RS algorithm was researched. Finally, we verified the correctness and the practicability of this method during the procedure of knowledge access.
EXTRA is an experimental expert system for industrial process control. The main objectives are the diagnosis and operation aids. From a methodological point of view, EXTRA is based on a deep knowledge of the plant operation and on qualitative simulation principles. The application concerns all the electric power and the Chemical and Volume Control System of a P.W.R. nuclear plant. The tests conducted on a full-scope simulator representative of the real plant yielded excellent results and taught the authors a number of lessons. The main lesson concerns the efficiency and flexibility provided by the combination of a knowledge-based system and of an advanced mini-computer
Literature-based knowledge discovery method was introduced by Dr. Swanson in 1986. He hypothesized a connection between Raynaud's phenomenon and dietary fish oil, the field of literature-based discovery (LBD) was born from then on. During the subsequent two decades, LBD's research attracts some scientists including information science, computer science, and biomedical science, etc.. It has been a part of knowledge discovery and text mining. This paper summarizes the development of recent years about LBD and presents two parts, methodology research and applied research. Lastly, some problems are pointed as future research directions.
Andreasen, Troels; Nilsson, Jørgen Fischer
We argue in favour of adopting a form of natural logic for ontology-structured knowledge bases as an alternative to description logic and rule based languages. Natural logic is a form of logic resembling natural language assertions, unlike description logic. This is essential e.g. in life sciences......, where the large and evolving knowledge specifications should be directly accessible to domain experts. Moreover, natural logic comes with intuitive inference rules. The considered version of natural logic leans toward the closed world assumption (CWA) unlike the open world assumption with classical...
Based on an analysis of existing models, methods and means of acquiring knowledge, a base method of automated knowledge acquisition has been chosen. On the base of this method, a new approach to integrate information acquired from knowledge sources of different typologies has been proposed, and the concept of a distributed knowledge acquisition with the aim of computerized formation of the most complete and consistent models of problem areas has been introduced. An original algorithm for distributed knowledge acquisition from databases, based on the construction of binary decision trees has been developed
Nitin Balaji Bilgi; Kulkarni, R. V.
The basic aim of this research, described in this paper is to develop a hybrid legal expert system/ knowledge based system, with specific reference to the transfer of property act, within the Indian legal system which is often in demand. In this paper the authors discuss an traditional approach to combining two types of reasoning methodologies, Rule Based Reasoning (RBR) and Case Based Reasoning (CBR). In RBR module we have interpreted and implemented rules that occur in legal statutes of the...
Jiansheng Tang; Chenghong Li
This article thinks that knowledge management includes knowledge learning and knowledge innovation, thevalue of knowledge in these two areas is produced, and after these two processes, have knowledge assets. In thispaper, the ideas and methods of assessment about knowledge assets are proposed in the field of knowledgemanagement, and analysis and research on these methods.
Full Text Available In a knowledge - based society, organizations undergo permanent changes and transformations, and the key factor of such changes is intellectual capital regarded as one of the most critical, yet most strategic values an organization might own. Analyzing intelectual capital and knowledge society over the last decades has primarily emerged in private companies, whereas at present there is an increasing concern in all the fields of activity. The goal of this paper is to emphasize the importance of intellectual capital as a source of innovation and novelty used to create competitive advantages for organizations in the era of knowledge where man must rely on intellect, intuition and creativity. The present paper is an exploratory endeavour based on the qualitative method as various information sources are resorted to in order to conceptualize the terms of intellectual capital and knowledge society: specialty literature, case studies, mass-media articles, reports of in-field organizations etc. Organizations should use all the tangible or non-tangible resources they have in order to secure their success and also to build a knowledge society which involves going a long way, based on an ample, complex process where innovation has a major role and a global nature.
Moore, Carrie B.; Wallace, John R.; Frase, Alex T.; Pendergrass, Sarah A; Marylyn D Ritchie
Background With the recent decreasing cost of genome sequence data, there has been increasing interest in rare variants and methods to detect their association to disease. We developed BioBin, a flexible collapsing method inspired by biological knowledge that can be used to automate the binning of low frequency variants for association testing. We also built the Library of Knowledge Integration (LOKI), a repository of data assembled from public databases, which contains resources such as: dbS...
Full Text Available This article describes the design of knowledge and skill-based pay systems for K-12 teachers in six U.S. school districts and one charter school. Based on a theory of action that relates knowledge and skill- based pay systems to improvements in instruction, and the expectancy theory of motivation, seven dimensions for comparison are identified and the systems are compared based on these dimensions. While there were a variety of reasons for designing new pay systems, similarities included that teachers were involved in the design processes, and that the knowledge and skills rewarded are more closely related to instruction than in the traditional salary schedule (though none of the systems placed heavy emphasis on content-specific pedagogy. Most systems made use of existing standards or definitions of good teaching, such as the Framework for Teaching (Danielson, 1996. While most of the systems involved performance-based assessments of teacher skills, in no case were seniority and graduate degrees eliminated as a basis for pay progression. Few of the programs had developed a coordinated professional development program specifically linked to the knowledge and skills rewarded by the new pay system. Implications for policy makers and system designers are drawn.
Full Text Available Managerial competencies identification and development are important tools of human resources management that is aimed at achieving strategic organizational goals. Due to current dynamic development and changes, more and more attention is being paid to the personality of managers and their competencies, since they are viewed as important sources of achieving a competitive advantage. The objective of this article is to identify managerial competencies in the process of filling vacant working positions in knowledge-based organizations in the Czech Republic. The objective was determined with reference to the Czech Science Foundation GACR research project which focuses on the identification of managerial competencies in knowledge-based organizations in the Czech Republic. This identification within the frame of the research project is primarily designed and subsequently realised on the basis of content analysis of media communications such as advertisements - a means through which knowledge- based organizations search for suitable candidates for vacant managerial positions. The first part of the article deals with theoretical approaches to knowledge-based organizations and issues on competencies. The second part evaluates the outcomes of the survey carried out, and also summarizes the basic steps of the application of competencies. The final part summarizes the benefits and difficulties of applying the competency-based approach as a tool of efficient management of organizations for the purpose of achieving a competitive advantage.
Full Text Available The viability and success of modern enterprises are subject to the increasing dynamic of the economic environment, so they need to adjust rapidly their policies and strategies in order to respond to sophistication of competitors, customers and suppliers, globalization of business, international competition. Perhaps the most critical component for success of the modern enterprise is its ability to take advantage of all available information - both internal and external. Making sense of all this information, gaining value and competitive advantage through represents real challenges for the enterprise. The IT solutions designed to address these challenges have been developed in two different approaches: structured data management (Business Intelligence and unstructured content management (Knowledge Management. Integrating Business Intelligence and Knowledge Management in new software applications designated not only to store highly structured data and exploit it in real time but also to interpret the results and communicate them to decision factors provides real technological support for Strategic Management. Integrating Business Intelligence and Knowledge Management in order to respond to the challenges the modern enterprise has to deal with represents not only a "new trend" in IT, but a necessity in the emerging knowledge based economy. These hybrid technologies are already widely known in both scientific and practice communities as Competitive Intelligence. In the end of paper,a competitive datawarehouse design is proposed, in an attempt to apply business intelligence technologies to economic environment analysis making use of romanian public data sources.
Pennington, D. D.; Salayandia, L.; Gates, A.; Osuna, F.
MetaShare is a free and open source knowledge-based system for supporting data management planning, now required by some agencies and publishers. MetaShare supports users as they describe the types of data they will collect, expected standards, and expected policies for sharing. MetaShare's semantic model captures relationships between disciplines, tools, data types, data formats, and metadata standards. As the user plans their data management activities, MetaShare recommends choices based on practices and decisions from a community that has used the system for similar purposes, and extends the knowledge base to capture new relationships. The MetaShare knowledge base is being seeded with information for geoscience and environmental science domains, and is currently undergoing testing on at the University of Texas at El Paso. Through time and usage, it is expected to grow to support a variety of research domains, enabling community-based learning of data management practices. Knowledge of a user's choices during the planning phase can be used to support other tasks in the data life cycle, e.g., collecting, disseminating, and archiving data. A key barrier to scientific data sharing is the lack of sufficient metadata that provides context under which data were collected. The next phase of MetaShare development will automatically generate data collection instruments with embedded metadata and semantic annotations based on the information provided during the planning phase. While not comprehensive, this metadata will be sufficient for discovery and will enable user's to focus on more detailed descriptions of their data. Details are available at: Salayandia, L., Pennington, D., Gates, A., and Osuna, F. (accepted). MetaShare: From data management plans to knowledge base systems. AAAI Fall Symposium Series Workshop on Discovery Informatics, November 15-17, 2013, Arlington, VA.
SPRINT RA 230: A Methodology for Knowledge Based Developments, funded by the European Commission, was set up to investigate the use of KBS in the engineering industry. Its aim was to find out low KBS were currently used and what people's conceptions of them was, to disseminate current knowledge and to recommend further research into this area. A survey (by post and face to face interviews) was carried out under SPRINT RA 230 to investigate requirements for more intelligent software. In the survey we looked both at how people think about Knowledge Based Systems (KBS), what they find useful and what is not useful, and what current expertise problems or limitations of conventional software might suggest KBS solutions. (orig./DG)
王向华; 覃征; 何坚; 王志敏
Differences in the structure and semantics of knowledge that is created and maintained by the various actors on the World Wide Web make its exchange and utilization a problematic task. This is an important issue facing organizations undertaking knowledge management initiatives. An XML-based and ontology-supported knowledge description language (KDL) is presented, which has three-tier structure (core KDL, extended KDL and complex KDL), and takes advantages of strong point of ontology, XML, description logics, frame-based systems. And then, the framework and XMLbased syntax of KDL are introduced, and the methods of translating KDL into first order logic (FOL) are presented. At last, the implementation of KDL on the Web is described, and the reasoning ability of KDL proved by experiment is illustrated in detail.
The proper functioning of the nuclear power plant operator as an information processor and decision maker is crucial for performance reliability. The application of knowledge-based systems offers new possibilities for supporting the operator and reducing the complexity of the system representation. This is particularly important under difficult conditions where his performance might otherwise deteriorate. Such applications include improved alarm analysis, operations tracking and monitoring, and a flexible handling of the operator-system dialogue. The paper will characterise the range of applications as well as report on the development of a specific system. This uses several knowledge-based systems to support the operator by making the required operation less knowledge intensive. (author)
An important issue in Knowledge Discovery in Databases is to allo the discovered knowledge to be as close as possible to natural languages to satisfy user needs with tractability on one hand,and to offer KDD systems robustness on the other hand.At this junction,this paper describes a new concept of linguistic atoms with three digital characteristics:expected value Ex,entropy En,anddeviation D.The mathematical description has effectively integrated the fuzziness and randomness of linguistic terms in a unified way.Based on this model a method of knowledge representation in KDD is developed which bridges the gap between quantitative knowledge and qualitative knowledge.Mapping between quantitatives and qualitatives becomes much easier and interchangeable.In order to discover generalized knowledge from a database,one may use virtual linguistic terms and cloud transforms for the auto-generation of concept hierarchies to attributes.Predictive data mining with the cloud model is given for implementation.This further illustrates the advantages of this linguistic model in KDD.
SP-100 space nuclear reactor system development is a joint effort by the Department of Energy, the Department of Defense and the National Aeronautics and Space Administration. The system is designed to operate in isolation for many years, and is possibly subject to little or no remote maintenance. This dissertation proposes a knowledge based diagnostic system which, in principle, can diagnose the faults which can either cause reactor shutdown or lead to another serious problem. This framework in general can be applied to the fully specified system if detailed design information becomes available. The set of faults considered herein is identified based on heuristic knowledge about the system operation. The suitable approach to diagnostic problem solving is proposed after investigating the most prevalent methodologies in Artificial Intelligence as well as the causal analysis of the system. Deep causal knowledge modeling based on digraph, fault-tree or logic flowgraph methodology would present a need for some knowledge representation to handle the time dependent system behavior. A proposed qualitative temporal knowledge modeling methodology, using rules with specified time delay among the process variables, has been proposed and is used to develop the diagnostic sufficient rule set. The rule set has been modified by using a time zone approach to have a robust system design. The sufficient rule set is transformed to a sufficient and necessary one by searching the whole knowledge base. Qualitative data analysis is proposed in analyzing the measured data if in a real time situation. An expert system shell - Intelligence Compiler is used to develop the prototype system. Frames are used for the process variables. Forward chaining rules are used in monitoring and backward chaining rules are used in diagnosis
Background: Many ontologies have been developed in biology and these ontologies increasingly contain large volumes of formalized knowledge commonly expressed in the Web Ontology Language (OWL). Computational access to the knowledge contained within these ontologies relies on the use of automated reasoning. Results: We have developed the Aber-OWL infrastructure that provides reasoning services for bio-ontologies. Aber-OWL consists of an ontology repository, a set of web services and web interfaces that enable ontology-based semantic access to biological data and literature. Aber-OWL is freely available at http://aber-owl.net. Conclusions: Aber-OWL provides a framework for automatically accessing information that is annotated with ontologies or contains terms used to label classes in ontologies. When using Aber-OWL, access to ontologies and data annotated with them is not merely based on class names or identifiers but rather on the knowledge the ontologies contain and the inferences that can be drawn from it.
Ngoasong, Michael Zisuh; Manfredi, Filippo
The common perception is that all types of work and work organizations appear to involve knowledge: knowledge intensive work, knowledge workers, knowledge products, customerrelated knowledge and knowledge intensive organizations. Therefore, as organizations increasingly organize their activities in the form of projects, effective ways of knowledge management are needed to deliver successful and timely outcomes. However, little research has been done in the area that integrates time orientatio...
The ability to represent knowledge is often considered essential to build systems with reasoning capabilities. In computer science, a good solution often depends on a good representation. The first step in development of most computer applications is selection of a representation for the input, output, and intermediate results that the program will operate upon. For applications in artificial intelligence, this initial choice of representation is especially important. This is because the possible representational paradigms are diverse and the forcing criteria for the choice are usually not clear in the beginning. Yet, the consequences of an inadequate choice can be devastating in the later state of a project if it is discovered that critical information cannot be encoded within the chosen representational paradigm. Problems arise when designing representational systems to support any kind of Knowledge-Base System, that is a computer system that uses knowledge to perform some task. The general case of knowledge-based systems can be thought of as reasoning agents applying knowledge to achieve goals. Artificial Intelligence (AI) research involves building computer systems to perform tasks of perception and reasoning, as well as storage and retrieval of data. The problem of automatically perceiving large patterns in data is a perceptual task that begins to be important for many expert systems applications. Most of AI research assumes that what needs to be represented is known a priori; an AI researcher's job is just figuring out how to encode the information in the system's data structure and procedures. 10 refs
GUO Yinqiao; ZHAO Chuande; WANG Wenxin; LI Cundong
Based on the relationship between crops and circumstances,a dynamic knowledge model for maize management with wide applicability was developed using the system method and mathematical modeling technique.With soft component characteristics incorporated,a component and digital knowledge model-based decision support system for maize management was established on the Visual C++platform.This system realized six major functions:target yield calculation,design of pre-sowing plan,prediction of regular indices,real-time management control,expert knowledge reference and system administration.Cases were studied on the target yield knowledge model with data sets that include different eco-sites,yield levels of the last three years,and fertilizer and water management levels.The results indicated that this system overcomes the shortcomings of traditional expert systems and planting patterns,such as sitespecific conditions and narrow applicability,and can be used more under different conditions and environments.This system provides a scientific knowledge system and a broad decision-making tool for maize management.
Sidoran, Karen M.
Simulations have become a powerful mechanism for understanding and modeling complex phenomena. Their results have had substantial impact on a broad range of decisions in the military, government, and industry. Because of this, new techniques are continually being explored and developed to make them even more useful, understandable, extendable, and efficient. One such area of research is the application of the knowledge-based methods of artificial intelligence (AI) to the computer simulation field. The goal of knowledge-based simulation is to facilitate building simulations of greatly increased power and comprehensibility by making use of deeper knowledge about the behavior of the simulated world. One technique for representing and manipulating knowledge that has been enhanced by the AI community is object-oriented programming. Using this technique, the entities of a discrete-event simulation can be viewed as objects in an object-oriented formulation. Knowledge can be factual (i.e., attributes of an entity) or behavioral (i.e., how the entity is to behave in certain circumstances). Rome Laboratory's Advanced Simulation Environment (RASE) was developed as a research vehicle to provide an enhanced simulation development environment for building more intelligent, interactive, flexible, and realistic simulations. This capability will support current and future battle management research and provide a test of the object-oriented paradigm for use in large scale military applications.
Engineering information management and the corresponding information systems are of a strategic importance for industrial enterprises. This thesis treats the interdisciplinary field of designing computing systems for structural design and analysis using knowledge-based techniques. Specific conceptual models have been designed for representing the structure and the process of objects and activities in a structural design and analysis domain. In this thesis, it is shown how domain knowledge can be structured along several classification principles in order to reduce complexity and increase flexibility. By increasing the conceptual level of the problem description and representation of the domain knowledge in a declarative form, it is possible to enhance the development, maintenance and use of software for mechanical engineering. This will result in a corresponding increase of the efficiency of the mechanical engineering design process. These ideas together with the rule-based control point out the leverage of declarative knowledge representation within this domain. Used appropriately, a declarative knowledge representation preserves information better, is more problem-oriented and change-tolerant than procedural representations. 74 refs
Castigates the supposed "knowledge-based economy" as simply a public relations smokescreen covering up the free market exploitation of people and resources serving corporate interests. Discusses the many ways that private industry, often with government collusion, has controlled or denied dissemination of information to serve its own interests.…
Effective investment strategies help companies form dynamic core organizational capabilities allowing them to adapt and survive in today's rapidly changing knowledge-based economy. This dissertation investigates three valuation issues that challenge managers with respect to developing business-critical investment strategies that can have…
Dijkstra, Jacob; Breuker, J.; Leenes, R.; Winkels, R.
This paper gives an overview of my PhD study into the persuasiveness of (legal) knowledge-based systems'. The results of three experiments show the possible problems that may arise when computerised legal decision aids are put into practice. The users in the experiments had great difficulties with j
Hartley, Roger; Ravenscroft, Andrew; Williams, R. J.
The CACTUS project was concerned with command and control training of large incidents where public order may be at risk, such as large demonstrations and marches. The training requirements and objectives of the project are first summarized justifying the use of knowledge-based computer methods to support and extend conventional training…
Full Text Available This paper examines the role of mobile communication, mobile tools and work practices in the context of organizations, especially knowledge-based organizations. Today, organizations are highly complex and diverse. Not surprisingly, various solutions to incorporating mobile tools and mobile communication in organizations have been devised. Challenges to technological development and research on mobile communication are presented.
Oleg Vasilyevich Inshakov
Full Text Available The object field of knowledge-based economy is formed by appropriate real system of relations in production, distribution, exchange, and consumption reflecting its innovative and creative character. The variety of forms of institutions, organizations, and information are becoming the factors of the structuring, functioning, and evolving of knowledge-based economy in a global scale. Collaboration is attracting more and more attention from both researchers and experts in economics, politics, law, sociology, culture as a fast emerging and efficient but underexplored form of relations among subjects of knowledge-based economy. Collaboration is an appropriate to the nature of knowledge-based economy form of cooperation, which is detailed according to its subjects, objects, levels, and scale, spheres and industries, sectors and segments. Collaboration provides both intensive and extensive development of VI technological mode creating totally new types and generations of products and services. The diversity of local and regional, inter-firm and international forms of collaboration is accelerating in all spheres of global economy. Despite over simplifying, contemporary science has to think over the essence and evolutionary potential of collaboration as well as to work out justified recommendations for the practice.
This article investigates the societal conditions that might help the establishment of peer-to-peer modes of production. First, the context within which such a new model is emerging - the neoliberal knowledge-based-societies - is described, and its shortcomings unveiled; and second, a robust...
Peuquet, D. (Principal Investigator)
The use of artificial intelligence techniques that are applicable to Geographic Information Systems (GIS) are examined. Questions involving the performance and modification to the database structure, the definition of spectra in quadtree structures and their use in search heuristics, extension of the knowledge base, and learning algorithm concepts are investigated.
An accident diagnostic system is developed as an attempt to provide a useful aid for the operators of an experimental loop or a nuclear power plant in the case of emergency condition. Because the current practices in the system diagnosis are not satisfactory, there is an increasing demand on the establishment of various operator decision support systems. The knowledge based system is a new and promising technique which can be used to fulfill this demand. With the capability of automatic reasoning and by incorporating the information about system status, the knowledge based system can simulate the process of human thinking and serve as a good decision support system. This knowledge based decision support system can be helpful for both a fast, violent accident and a slowly developed accident. Specifically, a fast diagnostic report can be provided for a fast and violent accident of which time is the main concern and a complete diagnostic report can be provided for a slowly developed accident of which complexity is the main concern. Such a knowledge based decision support system also provides many other equally important advantages, such as the elimination of human error, the automatic validation of signal readings, the establishment of human error, the automatic validation of signal readings, and the establishment of a simulation environment
Lees, Rosemary Susan; Knols, Bart; Bellini, Romeo; Benedict, Mark Q; Bheecarry, Ambicadutt; Bossin, Hervé Christophe; Chadee, Dave D; Charlwood, Jacques; Dabiré, Roch K; Djogbenou, Luc; Egyir-Yawson, Alexander; Gato, René; Gouagna, Louis Clément; Hassan, Mo'awia Mukhtar; Khan, Shakil Ahmed; Koekemoer, Lizette L; Lemperiere, Guy; Manoukis, Nicholas C; Mozuraitis, Raimondas; Pitts, R Jason; Simard, Frederic; Gilles, Jeremie R L
The enormous burden placed on populations worldwide by mosquito-borne diseases, most notably malaria and dengue, is currently being tackled by the use of insecticides sprayed in residences or applied to bednets, and in the case of dengue vectors through reduction of larval breeding sites or larviciding with insecticides thereof. However, these methods are under threat from, amongst other issues, the development of insecticide resistance and the practical difficulty of maintaining long-term community-wide efforts. The sterile insect technique (SIT), whose success hinges on having a good understanding of the biology and behaviour of the male mosquito, is an additional weapon in the limited arsenal against mosquito vectors. The successful production and release of sterile males, which is the mechanism of population suppression by SIT, relies on the release of mass-reared sterile males able to confer sterility in the target population by mating with wild females. A five year Joint FAO/IAEA Coordinated Research Project brought together researchers from around the world to investigate the pre-mating conditions of male mosquitoes (physiology and behaviour, resource acquisition and allocation, and dispersal), the mosquito mating systems and the contribution of molecular or chemical approaches to the understanding of male mosquito mating behaviour. A summary of the existing knowledge and the main novel findings of this group is reviewed here, and further presented in the reviews and research articles that form this Acta Tropica special issue. PMID:24252487
William Hazelton; Suresh Moolgavkar; E. Georg Luebeck
This past year we have made substantial progress in modeling the contribution of homeostatic regulation to low-dose radiation effects and carcinogenesis. We have worked to refine and apply our multistage carcinogenesis models to explicitly incorporate cell cycle states, simple and complex damage, checkpoint delay, slow and fast repair, differentiation, and apoptosis to study the effects of low-dose ionizing radiation in mouse intestinal crypts, as well as in other tissues. We have one paper accepted for publication in ''Advances in Space Research'', and another manuscript in preparation describing this work. I also wrote a chapter describing our combined cell-cycle and multistage carcinogenesis model that will be published in a book on stochastic carcinogenesis models edited by Wei-Yuan Tan. In addition, we organized and held a workshop on ''Biologically Based Modeling of Human Health Effects of Low dose Ionizing Radiation'', July 28-29, 2005 at Fred Hutchinson Cancer Research Center in Seattle, Washington. We had over 20 participants, including Mary Helen Barcellos-Hoff as keynote speaker, talks by most of the low-dose modelers in the DOE low-dose program, experimentalists including Les Redpath (and Mary Helen), Noelle Metting from DOE, and Tony Brooks. It appears that homeostatic regulation may be central to understanding low-dose radiation phenomena. The primary effects of ionizing radiation (IR) are cell killing, delayed cell cycling, and induction of mutations. However, homeostatic regulation causes cells that are killed or damaged by IR to eventually be replaced. Cells with an initiating mutation may have a replacement advantage, leading to clonal expansion of these initiated cells. Thus we have focused particularly on modeling effects that disturb homeostatic regulation as early steps in the carcinogenic process. There are two primary considerations that support our focus on homeostatic regulation. First, a number of
Consultation System for Prevention of Abnormal-event Recurrence (CSPAR) is a knowledge-based system to analyze the same kind of events to a given fault reported on a nuclear power plant and to give users some informations for effective measures preventing them. This report discusses the interfaces of CSPAR for both end-users and knowledge-base editors. The interfaces are highly interactive and multi-window oriented. The features are as follows: (1) The end-user interfaces has Japanese language processing facility, which enables the users to consult CSPAR with various synonims and related terms for knowledge-base handling; (2) The knowledge-base editing system is used by knowledge-base editors for maintaining the knowledge on both plants' equipments and abnormal events sequences. It has facilities for easy maintenance of knowledge-bases, which includes a graphic oriented browser, a knowledge-base retriever, and a knowledge-base checker. (author)
Kastner, John; Apte, Chidanand; Griesmer, James
This article describes an effort to develop a knowledge-based financial marketing consultant system. Financial marketing is an excellent vehicle for both research and application in artificial intelligence (AI). This domain differs from the great majority of previous expert system domains in that there are no well-defined answers (in traditional sense); the goal here is to obtain satisfactory arguments to support the conclusions made. A large OPS5-based system was implemented as an initial pr...
Landry, Gail; Beyt, B. Eugene; Delcambre, Lois M.L.
This paper describes the design, implementation, and evaluation of a knowledge based prototype for diagnosing nosocomial infections. The prototype uses a consultative session to diagnose three major types of infection: urinary tract infection, bacteremia, and surgical wound infection. The system evaluates the results of microbiology and laboratory testing, includes rules based on clinical events, and determines onset dates. The prototype was implemented in Prolog and was tested for its abilit...
Kadi, H.; Perrin, J-P.
Within the framework of heritage preservation, 3D scanning and modeling for heritage documentation has increased significantly in recent years, mainly due to the evolution of laser and image-based techniques, modeling software, powerful computers and virtual reality. 3D laser acquisition constitutes a real development opportunity for 3D modeling based previously on theoretical data. The representation of the object information rely on the knowledge of its historic and theoretical frame to rec...
Murphy, Gregory L.; Ross, Brian H.
In one form of category-based induction, people make predictions about unknown properties of objects. There is a tension between predictions made based on the object’s specific features (e.g., objects above a certain size tend not to fly) and those made by reference to category-level knowledge (e.g., birds fly). Seven experiments with artificial categories investigated these two sources of induction by looking at whether people used information about correlated features within categories, sug...
Cucinotta, Francis A.
Exposures from galactic cosmic rays (GCR) - made up of high-energy protons and high-energy and charge (HZE) nuclei, and solar particle events (SPEs) - comprised largely of low- to medium-energy protons are the primary health concern for astronauts for long-term space missions. Experimental studies have shown that HZE nuclei produce both qualitative and quantitative differences in biological effects compared to terrestrial radiation, making risk assessments for cancer and degenerative risks, such as central nervous system effects and heart disease, highly uncertain. The goal for space radiation protection at NASA is to be able to reduce the uncertainties in risk assessments for Mars exploration to be small enough to ensure acceptable levels of risks are not exceeded and to adequately assess the efficacy of mitigation measures such as shielding or biological countermeasures. We review the recent BEIR VII and UNSCEAR-2006 models of cancer risks and their uncertainties. These models are shown to have an inherent 2-fold uncertainty as defined by ratio of the 95% percent confidence level to the mean projection, even before radiation quality is considered. In order to overcome the uncertainties in these models, new approaches to risk assessment are warranted. We consider new computational biology approaches to modeling cancer risks. A basic program of research that includes stochastic descriptions of the physics and chemistry of radiation tracks and biochemistry of metabolic pathways, to emerging biological understanding of cellular and tissue modifications leading to cancer is described.
The integration of the knowledge based systems (KBS) with processes is a new challenge for artificial intelligence developments. Integration requires improved robustness of the KBS, using methodologies which cater for building well structured, modular applications, and for verification and validation. The following key points related to KBS development were discussed during the meeting: state of the art in knowledge representation and reasoning; methods for building KBS; tools and computers used for building and implementing KBS; requirements for verification and validation; communication between KBS and the process, and between the KBS and the operators. 9 papers were presented by participants. A separate abstract was prepared for each of the papers. Refs and figs
Pemsel, Sofia; Wiewiorac, Anna; Müller, Ralf;
This paper conceptualizes and defines knowledge governance (KG) in project-based organizations (PBOs). Two key contributions towards a multi-faceted view of KG and an understanding of KG in PBOs are advanced, as distinguished from knowledge management and organizational learning concepts. The...... conceptual framework addresses macro- and micro-level elements of KG and their interaction. Our definition of KG in PBOs highlights the contingent nature of KG processes in relation to their organizational context. These contributions provide a novel platform for understanding KG in PBOs....
Chakraborty, Kasturi; Veetil, Aneesh T; Jaffrey, Samie R; Krishnan, Yamuna
The nanoscale engineering of nucleic acids has led to exciting molecular technologies for high-end biological imaging. The predictable base pairing, high programmability, and superior new chemical and biological methods used to access nucleic acids with diverse lengths and in high purity, coupled with computational tools for their design, have allowed the creation of a stunning diversity of nucleic acid-based nanodevices. Given their biological origin, such synthetic devices have a tremendous capacity to interface with the biological world, and this capacity lies at the heart of several nucleic acid-based technologies that are finding applications in biological systems. We discuss these diverse applications and emphasize the advantage, in terms of physicochemical properties, that the nucleic acid scaffold brings to these contexts. As our ability to engineer this versatile scaffold increases, its applications in structural, cellular, and organismal biology are clearly poised to massively expand. PMID:27294440
Full Text Available Knowledge-based organizations (KBO are usually considered to be those whose product or service is knowledge-intensive. The characteristics of a KBO, however, go beyond product to include process, purpose and perspective. Process refers to an organization’s knowledge based activities and processes. Purpose refers to its mission and strategy. Perspective refers to the worldview and culture that influence and constrain an organization’s decisions and actions. In order for organizations to remain globally competitive, new tools for decision-making are required. Of these tools, it is internationally recognized that Competitive Intelligence (CI is fast becoming a norm rather than the exception to assist management with decision-making in the modern knowledge-based organization. The purpose of competitive intelligence in the organization is to support and lead to management decisions and action. There exists a clear and concise link between competitiveness and the process of innovation. Innovation depends on a number of factors for success. Of these factors, information and intelligence are believed to be primary drivers. The main purpose of this paper is to explain the need for competitive intelligence in KBO and to present a model for the implementation of competitive intelligence in the KBO and the involvement of the information professional in the competitive intelligence process.
Full Text Available Knowledge-based organizations are constructed on intangible assets, such as the expertise and the values of the employees. As a consequence, motivation and professional excellence of employees are the main objectives of management teams. For this type of organizations, considered as true “knowledge systems”, the employees represent the most valuable resource that is not motivated only through financial means, but also through internal communication, autonomy or social rewards. The research of Eurofound shows that knowledge-based organizations have a low number of trade unions, while professional associations are more relevant for them. There is no tradition to defend through negotiation the working conditions of employees, thus it is important for managers to use the best practices, in order to increase the employees’ loyalty. We conducted a qualitative research concerning the quality of professional life of employees in five sectors of knowledge-based services: advertising-marketing, IT, banking and finance, research and development, and higher education; 15-20 employees from each sector were interviewed. Some of the questions referred directly to trade unions and affiliation, and also to internal communication. Although the results showed a different situation in each of the five sectors, there are few common characteristics: descendant communication is more frequent than ascendant communication, trade unions were reported as missing, unrepresentative or not very active, and the greatest part of employees in this sector are not affiliated, facts that limits the possibility of maintaining employees’ motivation on long term.
Del Fiol, Guilherme; Cimino, James J.; Maviglia, Saverio M.; Strasberg, Howard R; Jackson, Brian R.; Hulse, Nathan C.
Online health knowledge resources can be integrated into electronic health record systems using decision support tools known as “infobuttons.” In this study we describe a knowledge management method based on the analysis of knowledge resource use via infobuttons in multiple institutions.
Full Text Available Framed within the world of Artificial Intelligence, and more precisely within the project FunGramKB, i.e. a user-friendly environment for the semiautomatic construction of a multipurpose lexico-conceptual knowledge base for Natural Language Processing systems, the aim of this paper is two-fold. Firstly, we shall provide a necessarily non-exhaustive theoretical discussion of FunGramKB in which we will introduce the main elements that make up its Ontology (i.e. Thematic Frames, Meaning Postulates, different types of concepts, etc.. Secondly, we will describe the meticulous process carried out by knowledge engineers when populating this conceptually-driven Ontology. In doing so, we shall examine various examples belonging to the domain of ‘change’ or #TRANSFORMATION (in the COREL notation, in an attempt to show how conceptual knowledge can be modeled in for Artificial Intelligence purposes.
Full Text Available The appropriate selection of construction methods to be used during the execution of a construction project is a major determinant of high productivity, but sometimes this selection process is performed without the care and the systematic approach that it deserves, bringing negative consequences. This paper proposes a knowledge management approach that will enable the intelligent use of corporate experience and information and help to improve the selection of construction methods for a project. Then a knowledge-based system to support this decision-making process is proposed and described. To define and design the system, semistructured interviews were conducted within three construction companies with the purpose of studying the way that the method’ selection process is carried out in practice and the knowledge associated with it. A prototype of a Construction Methods Knowledge System (CMKS was developed and then validated with construction industry professionals. As a conclusion, the CMKS was perceived as a valuable tool for construction methods’ selection, by helping companies to generate a corporate memory on this issue, reducing the reliance on individual knowledge and also the subjectivity of the decision-making process. The described benefits as provided by the system favor a better performance of construction projects.
Full Text Available This paper motivates, presents and demonstrates in use a methodology based in complex network analysis to support research aimed at identification of sources in the process of knowledge transfer at the interorganizational level. The importance of this methodology is that it states a unified model to reveal knowledge sharing patterns and to compare results from multiple researches on data from different periods of time and different sectors of the economy. This methodology does not address the underlying statistical processes. To do this, national statistics departments (NSD provide documents and tools at their websites. But this proposal provides a guide to model information inferences gathered from data processing revealing links between sources and recipients of knowledge being transferred and that the recipient detects as main source to new knowledge creation. Some national statistics departments set as objective for these surveys the characterization of innovation dynamics in firms and to analyze the use of public support instruments. From this characterization scholars conduct different researches. Measures of dimensions of the network composed by manufacturing firms and other organizations conform the base to inquiry the structure that emerges from taking ideas from other organizations to incept innovations. These two sets of data are actors of a two- mode-network. The link between two actors (network nodes, one acting as the source of the idea. The second one acting as the destination comes from organizations or events organized by organizations that “provide” ideas to other group of firms. The resulting demonstrated design satisfies the objective of being a methodological model to identify sources in knowledge transfer of knowledge effectively used in innovation.
Kampf, Constance; Kommers, Piet
Cultural and Rhetorical Bases for communicating knowledge in web based communities How can we extend learner-centred theories for educational technology to include, for instance, the cultural and rhetorical backgrounds which influence participants in online communities as they engage in knowledge...... communication processes? To begin to answer this question, we are looking for papers which engage concepts such as: communities of practice (Wenger 1998) the emerging field of knowledge communication the connections between communicating knowledge and discourse structures cultural situatedness of communication...... linguistics, media studies, educational technology, intercultural communication, cultural studies, linguistics, rhetoric, technical communication and knowledge communication....
Full Text Available Problem statement: Research into robot motion control offers research opportunities that will change scientists and engineers for year to come. Autonomous robots are increasingly evident in many aspects of industry and everyday life and a robust robot motion control can be used for homeland security and many consumer applications. This study discussed the adaptive fuzzy knowledge based controller for robot motion control in indoor and outdoor environment. Approach: The proposed method consisted of two components: the process monitor that detects changes in the process characteristics and the adaptation mechanism that used information passed to it by the process monitor to update the controller parameters. Results: Experimental evaluation had been done in both indoor and outdoor environment where the robot communicates with the base station through its Wireless fidelity antenna and the performance monitor used a set of five performance criteria to access the fuzzy knowledge based controller. Conclusion: The proposed method had been found to be robust.
A prototype knowledge-based diagnostic system has been developed for more effective processing of the in-line chemistry sensor data from the PWR secondary water-steam circuit with the SUN 3/80 workstation and the Nexpert Object shell program. The system consists of the data interface, the data interpreter, the CHEMISTRY-expert, the ACTION-expert, and the user interface. The knowledge base defines physical and conceptual models of the target domain in a class/object hierarchy, giving rise to a reduced number of rules with pattern matching. The rule base is broken down into separate rule groups for task control, classification, prioritization, and diagnosis to minimize the inference time. The system is scheduled for the Verification and Validation test to collect operational information feedback in one of the Korea nuclear power plants in the near future. (author)
Virtual operation makes the knowledge of enterprise to be distributed from generalization to high-value andprofessionalization, and the intersection of knowledge distribution among enterprises will be reduced, and thecomplementarity of knowledge will be stronger and stronger, which will further promote the development of thevirtual operation for enterprises. The gap of knowledge distribution based on uneven talent distribution makesthe geological separation of virtual operation become very ne...
Berling, Trine Villumsen
Scientific knowledge in international relations has generally focused on an epistemological distinction between rationalism and reflectivism over the last 25 years. This chapter argues that this distinction has created a double distinction between theory/reality and theory/practice, which works as...... a ghost distinction structuring IR research. While reflectivist studies have emphasised the impossibility of detached, objective knowledge production through a dissolution of the theory/reality distinction, the theory/practice distinction has been left largely untouched by both rationalism and...... reflectivism. Bourdieu, on the contrary, lets the challenge to the theory/reality distinction spill over into a challenge to the theory/practice distinction by thrusting the scientist in the foreground as not just a factor (discourse/genre) but as an actor. In this way, studies of IR need to include a focus on...
为揭示知识创造的本质和规律，采用二分法将新达尔文主义和拉马克主义两种观点予以融合。在此基础上，根据生物进化原理，围绕知识的类基因特性对知识基因、知识进化的选择、重组和变异以及知识进化与环境的关系进行解释。研究结果表明：纯粹的知识创造主要是新达尔文式的演化，体现知识创造的不确定性、随机性和不可控性。相对应地，知识的复制、流动等过程则具有更多的拉马克现象，带有明确的指向且结果可以被预测。知识基因的选择、重组和变异是知识得以被创造的根本原因。知识创造的方向受到环境的影响，知识创造的动力源于知识主体对环境的学习，新知识能够对环境进行改变。%In order to reveal the nature and patterns of knowledge creation, this thesis combines Neo-Darwinism with Lamarckism using Dichotomy. Based on biological evolution theories, we interpret knowledge gene, knowledge evolution's selection, restructuring and variation, as well as the relationship between knowledge evolution and the environment, with the acknowledgement that knowledge has characteristics in common with gene. Research results show that, knowledge creation in itself is evolution of Neo-Darwinism, reflecting that knowledge creation is uncer-tain, random and unpredictable. Correspondingly, Lamarckism could be reflected in knowledge's replication and flows, with certain direction and predictable results. The selection, restructuring and variation of knowledge are the basic reason why knowledge could be created. The direction of knowledge creation is affected by the environ-ment. The driving force of knowledge creation has its origin in the learning process of knowledge workers in the environment, and new knowledge can change the environment accordingly.
Trujillo, Caleb M; Anderson, Trevor R; Pelaez, Nancy J
In biology and physiology courses, students face many difficulties when learning to explain mechanisms, a topic that is demanding due to the immense complexity and abstract nature of molecular and cellular mechanisms. To overcome these difficulties, we asked the following question: how does an instructor transform their understanding of biological mechanisms and other difficult-to-learn topics so that students can comprehend them? To address this question, we first reviewed a model of the components used by biologists to explain molecular and cellular mechanisms: the MACH model, with the components of methods (M), analogies (A), context (C), and how (H). Next, instructional materials were developed and the teaching activities were piloted with a physical MACH model. Students who used the MACH model to guide their explanations of mechanisms exhibited both improvements and some new difficulties. Third, a series of design-based research cycles was applied to bring the activities with an improved physical MACH model into biology and biochemistry courses. Finally, a useful rubric was developed to address prevalent student difficulties. Here, we present, for physiology and biology instructors, the knowledge and resources for explaining molecular and cellular mechanisms in undergraduate courses with an instructional design process aimed at realizing pedagogical content knowledge for teaching. Our four-stage process could be adapted to advance instruction with a range of models in the life sciences. PMID:27231262
Conceição da Costa, Maria
Full Text Available This article aims to analyse the participation of women scientist in knowledge production within the Genome Project sponsored by FAPESP (The State of São Paulo Research Foundation. Between 1997 and 2003, FAPESP invested approximately 33 million euros to develop the FAPESP Genome Project (PGF, generating major changes in Molecular Biology in Brazil: institutions devoted to fostering science and technology have been investing large sum of money; bioinformatics became one of the fields with great demand for professionals, and the results of the Xylella Genome Project, first organism sequenced in Brazil, were published in several international scientific journals including Nature, and Brazil became the first country to develop genome projects outside USA, Europe and Japan. As a consequence of this process, women scientists were loosing space as “spokespersons of this new science”, playing secondary roles at the project.Este artículo tiene como objetivo analizar la participación de las mujeres en la producción de conocimiento del proyecto genoma financiado por la FAPESP (Fundación de Apoyo a la Investigación del Estado de São Paulo. Entre 1997 y 2003, FAPESP invirtió aproximadamente 33 millones de euros en el desarrollo del Proyecto Genoma Fapesp (PGF, provocando importantes cambios en la Biología Molecular brasileña: las instituciones de fomento a la investigación comenzaron a promoverla con grandes financiaciones; la bioinformática se tornó uno de los campos con mayor demanda de profesionales y, por fin, los resultados del Proyecto Genoma de la Xylella Fastidiosa, primer organismo vivo secuenciado en Brasil, se publicaron en revistas científicas internacionales, como Nature. Con ello se convierte en el primer país fuera de la tríada EUA-Europa-Japón en desarrollar proyectos genoma. Como consecuencia del proceso, las mujeres están perdiendo espacio como “portavoces de esta nueva ciencia”, ocupando papeles secundarios en el
Babaie, Hassan A.; Broda Cindi, M.; Hadizadeh, Jafar; Kumar, Anuj
Scientific drilling near Parkfield, California has established the San Andreas Fault Observatory at Depth (SAFOD), which provides the solid earth community with short range geophysical and fault zone material data. The BM2KB ontology was developed in order to formalize the knowledge about brittle microstructures in the fault rocks sampled from the SAFOD cores. A knowledge base, instantiated from this domain ontology, stores and presents the observed microstructural and analytical data with respect to implications for brittle deformation and mechanics of faulting. These data can be searched on the knowledge base‧s Web interface by selecting a set of terms (classes, properties) from different drop-down lists that are dynamically populated from the ontology. In addition to this general search, a query can also be conducted to view data contributed by a specific investigator. A search by sample is done using the EarthScope SAFOD Core Viewer that allows a user to locate samples on high resolution images of core sections belonging to different runs and holes. The class hierarchy of the BM2KB ontology was initially designed using the Unified Modeling Language (UML), which was used as a visual guide to develop the ontology in OWL applying the Protégé ontology editor. Various Semantic Web technologies such as the RDF, RDFS, and OWL ontology languages, SPARQL query language, and Pellet reasoning engine, were used to develop the ontology. An interactive Web application interface was developed through Jena, a java based framework, with AJAX technology, jsp pages, and java servlets, and deployed via an Apache tomcat server. The interface allows the registered user to submit data related to their research on a sample of the SAFOD core. The submitted data, after initial review by the knowledge base administrator, are added to the extensible knowledge base and become available in subsequent queries to all types of users. The interface facilitates inference capabilities in the
Armstrong, H.M.; Harris, J.M.; Young, C.J.
The DOE Knowledge Base is a library of detailed information whose purpose is to support the United States National Data Center (USNDC) in its mission to monitor compliance with the Comprehensive Test Ban Treaty (CTBT). One of the important tasks which the USNDC must accomplish is to periodically perform detailed analysis of events of high interest, so-called "Special Events", to provide the national authority with information needed to make policy decisions. In this paper we investigate some possible uses of the Knowledge Base for Special Event Analysis (SEA), and make recommendations for improving Knowledge Base support for SEA. To analyze an event in detail, there are two basic types of data which must be used sensor-derived data (wave- forms, arrivals, events, etc.) and regiohalized contextual data (known sources, geological characteristics, etc.). Cur- rently there is no single package which can provide full access to both types of data, so for our study we use a separate package for each MatSeis, the Sandia Labs-developed MATLAB-based seismic analysis package, for wave- form data analysis, and ArcView, an ESRI product, for contextual data analysis. Both packages are well-suited to pro- totyping because they provide a rich set of currently available functionality and yet are also flexible and easily extensible, . Using these tools and Phase I Knowledge Base data sets, we show how the Knowledge Base can improve both the speed and the quality of SEA. Empirically-derived interpolated correction information can be accessed to improve both location estimates and associated error estimates. This information can in turn be used to identi~ any known nearby sources (e.g. mines, volcanos), which may then trigger specialized processing of the sensor data. Based on the location estimate, preferred magnitude formulas and discriminants can be retrieved, and any known blockages can be identified to prevent miscalculations. Relevant historic events can be identilled either by
Aging management is part of the safety management system in NPP Neckarwestheim, Germany. The central goal of aging management is to increase knowledge about aging mechanisms acting on systems, structures and components (SSC), steadily. Comprehensive knowledge is a pre-requisite to guard against aging related systematic failures. To increase knowledge it is necessary to gather and evaluate data of different departments, systematically. While a nuclear power plant is in service numerous events may occur which are related to aging and may have an influence on the quality of SSC. Relevant events may be malfunction, maintenance results, operational experience, results of surveillance or events in other utilities. It is important to evaluate these events concerning the aspect of aging, regularly, and to decide which measures are required to prevent similar unexpected events in the future. In some cases the new experience has to be assigned to comparable SSC. These evaluations and the necessary measures as well as the tracking of their effectiveness are performed by an aging management team that meets every 3 months. The resulting knowledge data base (aging management data base) supports the application of the PDCA cycle and provides an overview and fast access to all quality documents related to each SSC including surveillance measures and results. It simplifies the generation of annual status reports which demonstrate the efficiency of aging management. Finally, the procedure can be extended to SSC which are important for the availability of the plant and thus take a step forward from aging management to plant life management
Cheng, Linfu; Mckendrick, John D.; Liu, Jeffrey
Ongoing applied research is focused on developing guidance system for robot vehicles. Problems facing the basic research needed to support this development (e.g., scene understanding, real-time vision processing, etc.) are major impediments to progress. Due to the complexity and the unpredictable nature of a vehicle's area of operation, more advanced vehicle control systems must be able to learn about obstacles within the range of its sensor(s). A better understanding of the basic exploration process is needed to provide critical support to developers of both sensor systems and intelligent control systems which can be used in a wide spectrum of autonomous vehicles. Elcee Computek, Inc. has been working under contract to the Flight Dynamics Laboratory, Wright Research and Development Center, Wright-Patterson AFB, Ohio to develop a Knowledge/Geometry-based Mobile Autonomous Robot Simulator (KMARS). KMARS has two parts: a geometry base and a knowledge base. The knowledge base part of the system employs the expert-system shell CLIPS ('C' Language Integrated Production System) and necessary rules that control both the vehicle's use of an obstacle detecting sensor and the overall exploration process. The initial phase project has focused on the simulation of a point robot vehicle operating in a 2D environment.
Full Text Available BACKGROUND: The efficacy of current anticancer treatments is far from satisfactory and many patients still die of their disease. A general agreement exists on the urgency of developing molecularly targeted therapies, although their implementation in the clinical setting is in its infancy. In fact, despite the wealth of preclinical studies addressing these issues, the difficulty of testing each targeted therapy hypothesis in the clinical arena represents an intrinsic obstacle. As a consequence, we are witnessing a paradoxical situation where most hypotheses about the molecular and cellular biology of cancer remain clinically untested and therefore do not translate into a therapeutic benefit for patients. OBJECTIVE: To present a computational method aimed to comprehensively exploit the scientific knowledge in order to foster the development of personalized cancer treatment by matching the patient's molecular profile with the available evidence on targeted therapy. METHODS: To this aim we focused on melanoma, an increasingly diagnosed malignancy for which the need for novel therapeutic approaches is paradigmatic since no effective treatment is available in the advanced setting. Relevant data were manually extracted from peer-reviewed full-text original articles describing any type of anti-melanoma targeted therapy tested in any type of experimental or clinical model. To this purpose, Medline, Embase, Cancerlit and the Cochrane databases were searched. RESULTS AND CONCLUSIONS: We created a manually annotated database (Targeted Therapy Database, TTD where the relevant data are gathered in a formal representation that can be computationally analyzed. Dedicated algorithms were set up for the identification of the prevalent therapeutic hypotheses based on the available evidence and for ranking treatments based on the molecular profile of individual patients. In this essay we describe the principles and computational algorithms of an original method
Shahrul Azman Noah; Michael Lloyd-Williams
The inclusion of real world knowledge or specialised knowledge has not been addressed by the majority of the systems reviewed. ODA has real world knowledge provided by using a thesaurus-type structure to represent generic models. Only NITDT includes the specialised knowledge in its knowledge base. NITDT classified its knowledge into application specific, domain specific and general knowledge. However the literature does not discuss in detail how this knowledge is applied during the design ses...
Waldner, François; Canto, Guadalupe Sepulcre; Defourny, Pierre
Global, timely, accurate and cost-effective cropland mapping is a prerequisite for reliable crop condition monitoring. This article presented a simple and comprehensive methodology capable to meet the requirements of operational cropland mapping by proposing (1) five knowledge-based temporal features that remain stable over time, (2) a cleaning method that discards misleading pixels from a baseline land cover map and (3) a classifier that delivers high accuracy cropland maps (> 80%). This was demonstrated over four contrasted agrosystems in Argentina, Belgium, China and Ukraine. It was found that the quality and accuracy of the baseline impact more the certainty of the classification rather than the classification output itself. In addition, it was shown that interpolation of the knowledge-based features increases the stability of the classifier allowing for its re-use from year to year without recalibration. Hence, the method shows potential for application at larger scale as well as for delivering cropland map in near real time.
This paper presents a knowledge based methodology for radiological planning and radiation protection optimization. The cost-benefit methodology described on International Commission of Radiation Protection Report No. 37 is employed within a knowledge based framework for the purpose of optimizing radiation protection and plan maintenance activities while optimizing radiation protection.1,2 The methodology is demonstrated through an application to a heating ventilation and air conditioning (HVAC) system. HVAC is used to reduce radioactivity concentration levels in selected contaminated multi-compartment models at nuclear power plants when higher than normal radiation levels are detected. The overall objective is to reduce personnel exposure resulting from airborne radioactivity, when routine or maintenance access is required in contaminated areas. 2 figs, 15 refs
Verification is a necessary work in developing a reliable expert system. Verification is a process aimed at demonstrating whether a system meets it's specified requirements. As expert systems are used in various applications, the knowledge base verification of systems takes an important position. The conventional Petri net approach that has been studied recently in order to verify the knowledge base is found that it is inadequate to verify the knowledge base of large and complex system, such as alarm processing system of nuclear power plant. Thus, we propose an improved method that models the knowledge base as enhanced colored Petri net. In this study, we analyze the reachability and the error characteristics of the knowledge base. Generally, verification process requires computational support by automated tools. For this reason, this study developed a tool for knowledge base verification based on Design/CPN, which is a tool for editing, modeling, and simulating Colored Petri net. This tool uses Enhanced Colored Petri net as a modeling method. By applying this tool to the knowledge base of nuclear power plant, it is noticed that it can successfully check most of the anomalies that can occur in a knowledge base
Problems associated with irrigation in humid regions include uncertainty of whether irrigation will be necessary in a given year, and the question of whether crop response will be sufficient to make the required investment profitable in the long run. A prototype knowledge based system (KBS) has been developed to determine the economic feasibility of a range of irrigation systems for site specific conditions. The KBS uses information input by the user to determine possible irrig...
This paper suggests explaining the main important role of new economicinformation providing competitive advantages which help economic development. It highlightsa new ‘intelligent modelÂ» which produces and chooses the right competitive information, as aresult of informational innovation which ensures the maintaining of the stability of economicgrowth in a new knowledge based economy. The proposed model describes the major role ofinformation in different kinds of innovations which provide an ...
Fischer, Manfred M.
Artificial intelligence (Al) has received an explosion of interest during the last five years in various fields. There is no longer any question that expert systems and neural networks will be of central importance for developing the next generation of more intelligent geographic information systems. Such knowledge based geographic information systems will especially play a key role in spatial decision and policy analysis related to issues such as environmental monitoring and m...
Xiuliang Cui; Haochen He; Fuchu He; Shengqi Wang; Fei Li; Xiaochen Bo
It can be difficult for biomedical researchers to understand complex molecular networks due to their unfamiliarity with the mathematical concepts employed. To represent molecular networks with clear meanings and familiar forms for biomedical researchers, we introduce a knowledge-based computational framework to decipher biomedical networks by making systematic comparisons to well-studied “basic networks”. A biomedical network is characterized as a spectrum-like vector called “network fingerpr...
With the ever increasing complexity of high energy physics experiments and the increasing number of component parameters in detectors and their associated data-acquisition systems, it is important to transfer human expertise into computer programs such that they exhibit human reasoning, but react more quickly and more consistently to rapidly changing stimuli. This paper describes how knowledge-based systems are being used at Fermilab to diagnose networks and modules. (orig.)
Popa Liliana Viorica
In the knowledge based economy, organisations are influenced by the quality movement, Kaizen, which plays a strategic role for optimization of organizational capabilities of managers as well as of all the employees. Kaizen represents the philosophy of continuous improvement, until the economic activities inside the organisation reach zero deficiencies. In order to implement in a proper manner Kaizen into the organization, managers must decide what to improve, why to improve, who shall improve...
Mori, Hiroshi; Yamada, Takuji; Kurokawa, Ken
Microbes are essential for every part of life on Earth. Numerous microbes inhabit the biosphere, many of which are uncharacterized or uncultivable. They form a complex microbial community that deeply affects against surrounding environments. Metagenome analysis provides a radically new way of examining such complex microbial community without isolation or cultivation of individual bacterial community members. In this article, we present a brief discussion about a metagenomics and the development of knowledge bases, and also discuss about the future trends in metagenomics.
Mehrdad, Neda; Joolaee, Soodabeh; Joulaee, Azadeh; Bahrani, Naser
Background: Evidence-based practice (EBP) is one of the main professional competencies for health care professionals and a priority for medicine and nursing curriculum as well. EBP leads to improve effective and efficient care and patient outcomes. Nurse educators have responsibility to teach the future nurses, and an opportunity to promote patient outcomes. Therefore, the aim of this study was to describe nurse educators’ knowledge and attitude on EBP. Materials and Methods: This was a descr...
Bearden Edward D; Harris Steve; Perkins Roger; Hong Huixiao; Fang Hong; Xu Lei; Ding Don; Shi Leming; Tong Weida
Abstract Background Endocrine disruptors (EDs) and their broad range of potential adverse effects in humans and other animals have been a concern for nearly two decades. Many putative EDs are widely used in commercial products regulated by the Food and Drug Administration (FDA) such as food packaging materials, ingredients of cosmetics, medical and dental devices, and drugs. The Endocrine Disruptor Knowledge Base (EDKB) project was initiated in the mid 1990’s by the FDA as a resource for the ...
Muhammad Khalique; Abu Hassan Md. Isa; Jamal Abdul Nassir Shaari
Attempt is made to indentify the major issues of knowledge-based economy, which are facing SMEs in Pakistan. Literature review: literature review reveals that Small and Medium Enterprises (SMEs) are playing very important role in the development of economy in Pakistan. Despite of the important contribution to economy, SMEs are still facing serious issues. These issues create serious threats for the survival of SMEs in Pakistan. After twenty first century, the economy transformed from producti...
Lopez Hernandez, Fernando; Nur, Gokce; Dogan, Safak; Arachchi, Hemantha; Mrak, M.; Martinez, Jose Maria; García Santos, Narciso; Kondoz, Ahmet
In a knowledge-based content adaptation framework, video adaptation can be performed in a series of steps, named conversions. The high-level decision phase in such a framework occasionally encounters several feasible parameter values of a specific conversion. This paper proposes to transfer further decisions to a low-level phase that decides which parameters maximise the quality of the adaptation. Particularly when more than one solution are available, an innovative quality measure is used fo...
Organizational networks are increasingly drawing the attention of management scholars worldwide. It is commonly expected that certain intra-organizational network structures predict how well the individual, the group, and the firm will perform. This study focuses on the structures and management of intra-organizational networks in knowledge-based organizations, studied with a literature review and with three separate research settings. The settings include the network perspective on the devel...
Diego Calvanese; Evgeny Kharlamov; Marco Montali; Ario Santoso; Dmitriy Zheleznyakov
Description Logic Knowledge and Action Bases (KABs) have been recently introduced as a mech- anism that provides a semantically rich represen- tation of the information on the domain of inter- est in terms of a DL KB and a set of actions to change such information over time, possibly intro- ducing new objects. In this setting, decidability of verification of sophisticated temporal properties over KABs, expressed in a variant of first-order μ- calculus, has been shown. However, the established...
Banks, Gordon; McLinden, Sean; Carlos, Gina
Hypercard is a computer program which allows the creation of databases of linked textual and graphic information. It is extremely easy to use, even for naive users. We have transferred into Hypercard format portions of some of the expert system medical knowledge-bases developed over the years in our laboratory to investigate the feasibility of using Hypercard as an editor and browser for such data.
Ben Hmida, Helmi; Cruz, Christophe; Boochs, Frank; Nicolle, Christophe
International audience This paper presents a knowledge-based detection of objects approach using the OWL ontology language, the Semantic Web Rule Language, and 3D processing built-ins aiming at combining geometrical analysis of 3D point clouds and specialist's knowledge. Here, we share our experience regarding the creation of 3D semantic facility model out of unorganized 3D point clouds. Thus, a knowledge-based detection approach of objects using the OWL ontology language is presented. Thi...
Painter, John H.; Glass, Emily; Economides, Gregory; Russell, Paul
This Contractor Report documents research in Intelligent Control using knowledge-based processing in a manner dual to methods found in the classic stochastic decision, estimation, and control discipline. Such knowledge-based control has also been called Declarative, and Hybid. Software architectures were sought, employing the parallelism inherent in modern object-oriented modeling and programming. The viewpoint adopted was that Intelligent Control employs a class of domain-specific software architectures having features common over a broad variety of implementations, such as management of aircraft flight, power distribution, etc. As much attention was paid to software engineering issues as to artificial intelligence and control issues. This research considered that particular processing methods from the stochastic and knowledge-based worlds are duals, that is, similar in a broad context. They provide architectural design concepts which serve as bridges between the disparate disciplines of decision, estimation, control, and artificial intelligence. This research was applied to the control of a subsonic transport aircraft in the airport terminal area.
Full Text Available This paper presents the method for the creation of an expert knowledge base of a military object, for example a radar system. Such a knowldge base can be widely used to support the process of the maintenance of a complex technical object. The first step is a maintenance evaluation of the object. During this kind of analysis, it is necessary to perform the grouping and classification of the functional elements of the object.It is realised using the functional scheme of the object presented. Further, diagnostic information is combined with specialised experts' knowledge and transformed it into a set of servicing information. The participation of experts in the process of expert knowledge base preparation is significant. The purpose is to capture information that will be a fundamental for the design of a maintenance system dedicated to the particulartechnical object. The methods proposed were verified with appropriate examples, in which the set of specialised diagnostic information of the object was determined.Defence Science Journal, 2010, 60(5, pp.531-540, DOI:http://dx.doi.org/10.14429/dsj.60.84
Harding, S M; Hawkins, J W
Sleep medicine is multidisciplinary, and sleep medicine professionals should be trained to evaluate and treat all 88 sleep disorders. Sleep medicine specialists require a fund of knowledge that goes beyond what is obtained during a pulmonary fellowship. Skills required for a pulmonary sleep professional include: sleep medicine, neurobiology, psychiatry, neuro-psychology, neurology, pediatrics, and even limited exposure in otolaryngology, oral maxillofacial surgery, and dentistry. There is a paucity of published information concerning curricular requirements. Required skills for a sleep professional include proficiency in the clinical skills of sleep medicine as well as the technical skills of polysomnography. There is a very large knowledge content area requirement in both the basic sciences of sleep and the clinical aspects of sleep medicine. There are also important clinical skills content areas. As with all medical professionals, sleep professionals should have the highest ethical standards and a strong sense of responsibility toward their patients. A sleep medicine professional also has to be knowledgeable about administrative and legal aspects specific to sleep medicine. This essay reviews a sleep professional knowledge base model with emphasis on the requirements for a pulmonary sleep professional. PMID:11868148
Wang, Zheng; Liang, Ti
The explosion of images on the Web has led to a number of efforts to organize images semantically and compile collections of visual knowledge. While there has been enormous progress on categorizing entire images or bounding boxes, only few studies have targeted fine-grained image understanding at the level of specific shape contours. For example, given an image of a cat, we would like a system to not merely recognize the existence of a cat, but also to distinguish between the cat's legs, head, tail, and so on. In this paper, we present ShapeLearner, a system that acquires such visual knowledge about object shapes and their parts. ShapeLearner jointly learns this knowledge from sets of segmented images. The space of label and segmentation hypotheses is pruned and then evaluated using Integer Linear Programming. ShapeLearner places the resulting knowledge in a semantic taxonomy based on WordNet and is able to exploit this hierarchy in order to analyze new kinds of objects that it has not observed before. We conduct experiments using a variety of shape classes from several representative categories and demonstrate the accuracy and robustness of our method.
Wu, Ji-Wei; Tseng, Judy C. R.; Hwang, Gwo-Jen
Inquiry-Based Learning (IBL) is an effective approach for promoting active learning. When inquiry-based learning is incorporated into instruction, teachers provide guiding questions for students to actively explore the required knowledge in order to solve the problems. Although the World Wide Web (WWW) is a rich knowledge resource for students to…
Zhao, Pengjun; Lu, Bo
This study examines knowledge-based urban development in Beijing with the objective of revealing the impact of the 'synergetic' forces of globalisation and local government intervention on knowledge-based urban development in the context of the coexisting processes of globalisation and decentralisat
Hogan William R
Full Text Available Abstract Background The incorporation of biological knowledge can enhance the analysis of biomedical data. We present a novel method that uses a proteomic knowledge base to enhance the performance of a rule-learning algorithm in identifying putative biomarkers of disease from high-dimensional proteomic mass spectral data. In particular, we use the Empirical Proteomics Ontology Knowledge Base (EPO-KB that contains previously identified and validated proteomic biomarkers to select m/zs in a proteomic dataset prior to analysis to increase performance. Results We show that using EPO-KB as a pre-processing method, specifically selecting all biomarkers found only in the biofluid of the proteomic dataset, reduces the dimensionality by 95% and provides a statistically significantly greater increase in performance over no variable selection and random variable selection. Conclusion Knowledge-based variable selection even with a sparsely-populated resource such as the EPO-KB increases overall performance of rule-learning for disease classification from high-dimensional proteomic mass spectra.
There are many approaches to data mining and knowledge discovery (DM&KD), including neural networks, closest neighbor methods, and various statistical methods. This monograph, however, focuses on the development and use of a novel approach, based on mathematical logic, that the author and his research associates have worked on over the last 20 years. The methods presented in the book deal with key DM&KD issues in an intuitive manner and in a natural sequence. Compared to other DM&KD methods, those based on mathematical logic offer a direct and often intuitive approach for extracting easily int
This paper presents the method for the creation of an expert knowledge base of a military object, for example a radar system. Such a knowldge base can be widely used to support the process of the maintenance of a complex technical object. The first step is a maintenance evaluation of the object. During this kind of analysis, it is necessary to perform the grouping and classification of the functional elements of the object.It is realised using the functional scheme of the object presented. Fu...
Reznik, Boris N.; Daniels, Marc; Ichim, Thomas E.; Reznik, David L.
Despite advanced scientific and technological (S&T) expertise, the Russian economy is presently based upon manufacturing and raw material exports. Currently, governmental incentives are attempting to leverage the existing scientific infrastructure through the concept of building a Knowledge Based Economy. However, socio-economic changes do not occur solely by decree, but by alteration of approach to the market. Here we describe the "Guided Entrepreneurship" plan, a series of steps needed for generation of an army of entrepreneurs, which initiate a chain reaction of S&T-driven growth. The situation in Russia is placed in the framework of other areas where Guided Entrepreneurship has been successful.
Amalia Venera Todorut
In this work I propose myself to tackle some aspects related to the strategies based on knowledge as a response to the deep changes which happen in economy, firms and in the management based on knowledge. The strategies based on knowledge emphasize the shape of a new type of knowledge meaning strategic knowledge which is essential for the development of a firm, consisting in combinations of operational knowledge of orientation, of explanation and of guidance. I also tackled the typology of sp...
Knowledge-based decision support systems of today are due to development of many decades. More and more methodologies and application areas have been involved during this time. In this paper neural methods are combined with knowledge-based methodologies. Self-Organizing Map (SOM) is used together with rule-based reasoning, and realized in a prototype of a decision support system. This system, which can be used e.g. in fault diagnosis, is based on an earlier study including compatibility analysis. A Matlab-based tool is capable of doing tasks in fault detection and identification. We show with an example how SOM analysis can help decision making in a computerized decision support system. Quantisation error between normal data and error data is one important methodological tool in this analysis. This kind of decision making is needed for instance in control room in state monitoring of a safety critical process in industry. A scenario about a leak in the primary circuit of a BWR nuclear power plant is also shortly demonstrated. (Author)
An imaging system which applies knowledge-based technology to supervise and control both sensor hardware and computation in the imaging system is described. It includes the development of an imaging system breadboard which brings together into one system work that we and others have pursued for LaRC for several years. The goal is to combine Digital Signal Processing (DSP) with Knowledge-Based Processing and also include Neural Net processing. The system is considered a smart camera. Imagine that there is a microgravity experiment on-board Space Station Freedom with a high frame rate, high resolution camera. All the data cannot possibly be acquired from a laboratory on Earth. In fact, only a small fraction of the data will be received. Again, imagine being responsible for some experiments on Mars with the Mars Rover: the data rate is a few kilobits per second for data from several sensors and instruments. Would it not be preferable to have a smart system which would have some human knowledge and yet follow some instructions and attempt to make the best use of the limited bandwidth for transmission. The system concept, current status of the breadboard system and some recent experiments at the Mars-like Amboy Lava Fields in California are discussed.
Full Text Available In view of the fact that supply strategies alone could not solve urban congestion, many cities around the globe have adopted Transport Demand Management (TDM strategies as part and partial of their congestion mitigation plan. TDM comprises several strategies and policies that aim to modifying travelers behaviour. TDM comprises strategies and policies that are different in nature which can be divided into several categories according to how they affect travelers’ behavior. Selecting and determining suitable TDM strategies for a particular congestion mitigation goal can be a complex task; thus requires expertise. In this regards, the effectiveness of a TDM strategy is primarily depending on whether its selection was appropriately examined prior to its field implementation. This paper presents the development of a Knowledge based expert advisory system for TDM. The process of organizing the available knowledge of TDM strategies, as well as the process leading to the selection of one or more strategy advice, is encoded in the knowledge based expert system shell developed for the purpose by using shell expert system Kappa-PC version 2.4 which was adopted object oriented and high resolution graphical user interface. The advice given from the working system was evaluated and validated by comparing the output of the system against the recommendations made by transportation professionals. The evaluations indicate favourable results for the system. The expert advisory system can be used as a decision support system as well as a teaching tool for junior transportation engineers, planners, private developers, and government officials.
From knowledge-based economy to … knowledge-based economy? Reflections on changes in the economy and development policies in the North East of England, Regional Studies. Against the background of claims made about the emergence of a new knowledge-based economy, the paper explores the role of knowledge, learning, and innovation in the economy and in relation to regional economic development and to successive conceptions of regional development policies through the lens of the successive transf...
From knowledge-based economy to … knowledge-based economy? Reflections on changes in the economy and development policies in the North East of England, Regional Studies. Against the background of claims made about the emergence of a new knowledge-based economy, the paper explores the role of knowledge, learning, and innovation in the economy and in relation to regional economic development and to successive conceptions of regional development policies through the lens of the successive transf...
Human resource management has increasingly become to a significant part of organizational management. The existing literatures related to Strategic HRM currently are closely referred to the resource-based view of the firm to explain and analyze the correlation between human capital and the sustention of competitive advantage. In view of resource-based development under the competitive dynamic environment, the economy has changed from the product-based to mainly knowledge-based. Knowledge-rela...
Robeva, Raina; Davies, Robin; Hodge, Terrell; Enyedi, Alexander
We describe an ongoing collaborative curriculum materials development project between Sweet Briar College and Western Michigan University, with support from the National Science Foundation. We present a collection of modules under development that can be used in existing mathematics and biology courses, and we address a critical national need to introduce students to mathematical methods beyond the interface of biology with calculus. Based on ongoing research, and designed to use the project-...
Ricks, Wendell R.
The use of knowledge-based system (KBS) architectures to manage information on the primary flight display (PFD) of commercial aircraft is described. The PFD information management strategy used tailored the information on the PFD to the tasks the pilot performed. The KBS design and implementation of the task-tailored PFD information management application is described. The knowledge acquisition and subsequent system design of a flight-phase-detection KBS is also described. The flight-phase output of this KBS was used as input to the task-tailored PFD information management KBS. The implementation and integration of this KBS with existing aircraft systems and the other KBS is described. The flight tests are examined of both KBS's, collectively called the Task-Tailored Flight Information Manager (TTFIM), which verified their implementation and integration, and validated the software engineering advantages of the KBS approach in an operational environment.
During the last decade the level of knowledge about severe accident phenomena has increased dramatically. The improved understanding has been achieved by extensive research but also from feed-back of experience from actual incidents/accidents such as Three Mile Island and Chernobyl. In Sweden, mitigating measures such as filtered venting and external water source were implemented at all nuclear power plants by 1988. In parallel the Emergency Operating Procedures (at Ringhals called Emergency Response Guidelines, ERG, and Beyond ERG, BERG) were developed to include these new features. However, the accident management system has since then been further improved and one important aspect is the long-term accident management. The new information obtained has been one of the basis for a new knowledge based handbook to support the unit leader and the Technical Support Center. The handbook contains information concerning specific issues in the BERG and advice how the organization can manage a long-term severe accident situation
Rajaram, N. S.
One of the principal objectives of the NASA AgRISTARS program is the inventory of global crop resources using remotely sensed data gathered by Land Satellites (LANDSAT). A central problem in any such crop inventory procedure is the interpretation of LANDSAT images and identification of parts of each image which are covered by a particular crop of interest. This task of labeling is largely a manual one done by trained human analysts and consequently presents obstacles to the development of totally automated crop inventory systems. However, development in knowledge engineering as well as widespread availability of inexpensive hardware and software for artificial intelligence work offers possibilities for developing expert systems for labeling of crops. Such a knowledge based approach to labeling is presented.
Markosian, Lawrence Z.
We present a new software development paradigm that automates the derivation of implementations from requirements. In this paradigm, informally-stated requirements are expressed in a domain-specific requirements specification language. This language is machine-understable and requirements expressed in it are captured in a knowledge base. Once the requirements are captured, more detailed specifications and eventually implementations are derived by the system using transformational synthesis. A key characteristic of the process is that the required human intervention is in the form of providing problem- and domain-specific engineering knowledge, not in writing detailed implementations. We describe a prototype system that applies the paradigm in the realm of communication engineering: the prototype automatically generates implementations of buffers following analysis of the requirements on each buffer.
The decision support system is one of the assistant decision tools to the decision-makers, and it is a complex systematic project to found the decision support system. This paper introduces the establishing process of the decision support system in Guangdong Nuclear Power Plant based on knowledge base. The main method includes three steps. First is organizing, mining and getting the knowledge. Second is constructing the knowledge base based on RDBMS. Third is setting up the decision support system. Practice shows that this method has certain practical value. (authors)
One of the important aspects of radiation emergency preparedness is to impart training to emergency handling staff. Mock exercises are generally used for this purpose. But practical considerations limit the frequency of such exercises. A suitably designed computer software can be effectively used to impart training. With the advent of low cost personal computers, the frequency with which the training programme can be conducted is unlimited. A computer software with monotonic behaviour is inadequate for such training. It is necessary to provide human like tutoring capabilities. With the advances in knowledge based computer systems, it is possible to develop such a system. These systems have the capability of providing individualized training. This paper describes the development of such a system for training and evaluation of agencies associated with the management of radiation emergency. It also discusses the utility of the software as a general purpose tutor. The details required for the preparation of data files and knowledge base files are included. It uses a student model based on performance measures. The software is developed in C under MS-DOS. It uses a rule based expert system shell developed in C. The features of this shell are briefly described. (author). 5 refs
Siontorou, Christina G.
Biosensors are analytic devices that incorporate a biochemical recognition system (biological, biologicalderived or biomimic: enzyme, antibody, DNA, receptor, etc.) in close contact with a physicochemical transducer (electrochemical, optical, piezoelectric, conductimetric, etc.) that converts the biochemical information, produced by the specific biological recognition reaction (analyte-biomolecule binding), into a chemical or physical output signal, related to the concentration of the analyte in the measuring sample. The biosensing concept is based on natural chemoreception mechanisms, which are feasible over/within/by means of a biological membrane, i.e., a structured lipid bilayer, incorporating or attached to proteinaceous moieties that regulate molecular recognition events which trigger ion flux changes (facilitated or passive) through the bilayer. The creation of functional structures that are similar to natural signal transduction systems, correlating and interrelating compatibly and successfully the physicochemical transducer with the lipid film that is self-assembled on its surface while embedding the reconstituted biological recognition system, and at the same time manage to satisfy the basic conditions for measuring device development (simplicity, easy handling, ease of fabrication) is far from trivial. The aim of the present work is to present a methodological framework for designing such molecular sensing interfaces, functioning within a knowledge-based system built on an ontological platform for supplying sub-systems options, compatibilities, and optimization parameters.
Herrmann, Patricia A.; French, Jason A.; DeHart, Ganie B.; Rosengren, Karl S.
Biological kinds undergo a variety of changes during their life span, and these changes vary in degree by organism. Understanding that an organism, such as a caterpillar, maintains category identity over its life span despite dramatic changes is a key concept in biological reasoning. At present, we know little about the developmental trajectory of…
Nitz, Sandra; Ainsworth, Shaaron E; Nerdel, Claudia; Prechtl, Helmut
Dealing with representations is a crucial skill for students and such representational competence is essential for learning science. This study analysed the relationship between representational competence and content knowledge, student perceptions of teaching practices concerning the use of different representations, and their impact on students’ outcome over a teaching unit. Participants were 931 students in 51 secondary school classes. Representational competence and content knowledge ...
Mnguni, Lindelani; Abrie, Mia
HIV/AIDS education should empower students to create knowledge using everyday life experiences. Such knowledge should then be used to construe experience and resolve social problems such as risk behaviour that leads to infection. In South Africa, attempts to reduce the spread of HIV include incorporating HIV/AIDS education in the biology…
Today's medical education faces the challenge of developing students competencies to resolve ever more complex problems in collaboration with other professionals. Problem-based learning (PBL) has proven useful for developing many of the competencies needed in modern healthcare. In PBL students collaboratively construct knowledge to explain and solve problems related to real-life situations. In such knowledge construction, dealing with conflicting ideas and knowledge has the potential to enha...
Teresita M. Hogan
Full Text Available Introduction: Emergency care of older adults requires specialized knowledge of their unique physiology, atypical presentations, and care transitions. Older adults often require distinctive assessment, treatment and disposition. Emergency medicine (EM residents should develop expertise and efficiency in geriatric care. Older adults represent over 25% of most emergency department (ED volumes. Yet many EM residencies lack curricula or assessment tools for competent geriatric care. Fully educating residents in emergency geriatric care can demand large amounts of limited conference time. The Geriatric Emergency Medicine Competencies (GEMC are high-impact geriatric topics developed to help residencies efficiently and effectively meet this training demand. This study examines if a 2-hour didactic intervention can significantly improve resident knowledge in 7 key domains as identified by the GEMC across multiple programs. Methods: A validated 29-question didactic test was administered at six EM residencies before and after a GEMC-focused lecture delivered in summer and fall of 2009. We analyzed scores as individual questions and in defined topic domains using a paired student t test. Results: A total of 301 exams were administered; 86 to PGY1, 88 to PGY2, 86 to PGY3, and 41 to PGY4 residents. The testing of didactic knowledge before and after the GEMC educational intervention had high internal reliability (87.9%. The intervention significantly improved scores in all 7 GEMC domains (improvement 13.5% to 34.6%; p<0.001. For all questions, the improvement was 23% (37.8% pre, 60.8% post; P<0.001 Graded increase in geriatric knowledge occurred by PGY year with the greatest improvement post intervention seen at the PGY 3 level (PGY1 19.1% versus PGY3 27.1%. Conclusion: A brief GEMC intervention had a significant impact on EM resident knowledge of critical geriatric topics. Lectures based on the GEMC can be a high-yield tool to enhance resident knowledge of
Full Text Available This paper shows that the influence of knowledge on new forms of work organisation can be described as mutual relationships. Different changes in work organisation also have a strong influence on the increasing importance of knowledge of different individual and collective actors in working situations. After that, we characterize a piece of basic formal system, an Extended Fuzzy Logic System (EFLS with temporal attributes, to conceptualize future DKMSs based on human imprecise for distributed just in time decisions. The approximate reasoning is perceived as a derivation of new formulas with the corresponding temporal attributes, within a fuzzy theory defined by the fuzzy set of special axioms. In a management application, the reasoning is evolutionary because of unexpected events which may change the state of the DKMS. In this kind of situations it is necessary to elaborate certain mechanisms in order to maintain the coherence of the obtained conclusions, to figure out their degree of reliability and the time domain for which these are true. These last aspects stand as possible further directions of development at a basic logic level for future technologies that must automate knowledge organizational processes.
Mehrdad, Neda; Joolaee, Soodabeh; Joulaee, Azadeh; Bahrani, Naser
Background: Evidence-based practice (EBP) is one of the main professional competencies for health care professionals and a priority for medicine and nursing curriculum as well. EBP leads to improve effective and efficient care and patient outcomes. Nurse educators have responsibility to teach the future nurses, and an opportunity to promote patient outcomes. Therefore, the aim of this study was to describe nurse educators’ knowledge and attitude on EBP. Materials and Methods: This was a descriptive study conducted in nursing faculties of two major universities of medical sciences affiliated to Ministry of Health and Medical Sciences in Tehran, Iran. Data were gathered using a three-section questionnaire. Content and face validity was further enhanced by submitting it to nursing research and education experts. Statistical analysis was carried out using SPSS 11 software. Results: According the results, nursing faculties’ knowledge of EBP was mainly moderate (47.1%). Significant statistical relationship was found between the level of knowledge with education and teaching experience in different nursing programs. Nurses generally held positive attitudes toward EBP (88.6%) and there was no statistical significant relationship with demographic variables. Conclusion: Nursing educators are in a position to influence nursing research in clinical practice in the future. Therefore, it is critical to achieve implementation of EBP and be a change agent for a paradigm shift toward EBP. PMID:23922597
On 21 March 1996, Eritrea acceded to the Convention on Biological Diversity which, among others, obliges states to sustainably conserve and develop customary uses of biological resources. Among the many forms of traditional practices of biological resources is traditional medicinal knowledge. Research has revealed that Eritrea has abundant pool of such knowledge and a high percentage of its population, as it is true with many developing and underdeveloped countries, resorts to traditional med...
Based on the Internet technology and artificial int el ligence (AI) technology, this paper presents a dispersed press process knowledge bases based multi-reasoning press process decision system (DKB-MRPPD). The di spersed press process knowledge bases have been organized into case bases and ru le bases, which may be located at different enterprises, and employed to plan pr ess process by a multi-reasoning engine made up of the ART1, case reasoning and rule-based reasoning net. The architecture model of DK...
Swat, Maciej J.; Grenon, Pierre; Wimalaratne, Sarala
Motivation: Probability distributions play a central role in mathematical and statistical modelling. The encoding, annotation and exchange of such models could be greatly simplified by a resource providing a common reference for the definition of probability distributions. Although some resources exist, no suitably detailed and complex ontology exists nor any database allowing programmatic access. Results: ProbOnto, is an ontology-based knowledge base of probability distributions, featuring more than 80 uni- and multivariate distributions with their defining functions, characteristics, relationships and re-parameterization formulas. It can be used for model annotation and facilitates the encoding of distribution-based models, related functions and quantities. Availability and Implementation: http://probonto.org Contact: firstname.lastname@example.org Supplementary information: Supplementary data are available at Bioinformatics online. PMID:27153608
Painter, John H.
The purpose is to develop algorithms and architectures for embedding artificial intelligence in aircraft guidance and control systems. With the approach adopted, AI-computing is used to create an outer guidance loop for driving the usual aircraft autopilot. That is, a symbolic processor monitors the operation and performance of the aircraft. Then, based on rules and other stored knowledge, commands are automatically formulated for driving the autopilot so as to accomplish desired flight operations. The focus is on developing a software system which can respond to linguistic instructions, input in a standard format, so as to formulate a sequence of simple commands to the autopilot. The instructions might be a fairly complex flight clearance, input either manually or by data-link. Emphasis is on a software system which responds much like a pilot would, employing not only precise computations, but, also, knowledge which is less precise, but more like common-sense. The approach is based on prior work to develop a generic 'shell' architecture for an AI-processor, which may be tailored to many applications by describing the application in appropriate processor data bases (libraries). Such descriptions include numerical models of the aircraft and flight control system, as well as symbolic (linguistic) descriptions of flight operations, rules, and tactics.
Rösner, D; Stede, Manfred
TECHDOC is an implemented system demonstrating the feasibility of generating multilingual technical documents on the basis of a language-independent knowledge base. Its application domain is user and maintenance instructions, which are produced from underlying plan structures representing the activities, the participating objects with their properties, relations, and so on. This paper gives a brief outline of the system architecture and discusses some recent developments in the project: the addition of actual event simulation in the KB, steps towards a document authoring tool, and a multimodal user interface. (slightly corrected version of a paper to appear in: COLING 94, Proceedings)
Design requirements are the seeds of every design activity, but elicitation and formalization of them are not easy tasks. This paper proposes a method to support designers in such requirement elaboration process with a computer. In this method the cognitive work space of designers is modeled by abstraction and structural hierarchies, and supporting functions of knowledge-based requirement elaboration, requirement classification and assessment of contentment status of requirements are provided on this framework. A prototype system was developed and tested using fast breeder reactor design. (author)
Tang, Suisheng; Zhang, Zhuo; Tan, Sin Lam;
Estrogen has a profound impact on human physiology affecting transcription of numerous genes. To decipher functional characteristics of estrogen responsive genes, we developed KnowledgeBase for Estrogen Responsive Genes (KBERG). Genes in KBERG were derived from Estrogen Responsive Gene Database...... user-friendly system that provides links to other relevant resources such as ERGDB, UniGene, Entrez Gene, HomoloGene, GO, eVOC and GenBank, and thus offers a platform for functional exploration and potential annotation of genes responsive to estrogen. KBERG database can be accessed at http...
The validation and verification (V and V) of Knowledge-Based Systems (KBS) becomes of increasing concern as these systems are fielded and embedded in the everyday operations of Electric Power and other industries particularly so when life-critical and environment-critical aspects are involved. This paper provides in this tutorial a V and V perspective on the nature of KBS components, an appropriate life-cycle, and applicable testing approaches. The authors consider why KBS V and V may be both easier and harder than traditional means, and the authors conclude with a series of practical V and V guidelines
Rybnik, Mariusz; Jastrzebska, Agnieszka
The paper is focused on automated knowledge discovery in musical pieces, based on transformations of digital musical notation. Usually a single musical piece is analyzed, to discover the structure as well as traits of separate voices. Melody and rhythm is processed with the use of three proposed operators, that serve as meta-data. In this work we focus on melody, so the processed data is labeled using fuzzy labels, created for detecting various voice characteristics. A comparative analysis of two musical pieces may be performed as well, that compares them in terms of various rhythmic or melodic traits (as a whole or with voice separation).
Rocío Jiménez-Briones; Alba Luzondo Oyón
Framed within the world of Artificial Intelligence, and more precisely within the project FunGramKB, i.e. a user-friendly environment for the semiautomatic construction of a multipurpose lexico-conceptual knowledge base for Natural Language Processing systems, the aim of this paper is two-fold. Firstly, we shall provide a necessarily non-exhaustive theoretical discussion of FunGramKB in which we will introduce the main elements that make up its Ontology (i.e. Thematic Frames, Meaning Postulat...
was “Building the knowledge base for environmental action and sustainability”. The joint conference was designed to facilitate ‘within‐the‐domain’, as well as to create a space for developing synergies between the two communities. Altogether 125 research and applied papers (including extended abstracts) from 42......‐Packard Joseph Kava, Vice President ‐ Data Centers, Google, California Special thanks to Tania Nielsen who has acted as key person for all organisational matters, including contact point for speakers and participants and for the publication of the Conference Proceedings and Adjunct Proceedings. Thanks...
A professional virtual community provides an interactive platform for enterprise experts to create and share their empirical knowledge cooperatively, and the platform contains a tremendous amount of hidden empirical knowledge that knowledge experts have preserved in the discussion process. Therefore, enterprise knowledge management highly…
The 21st century brings along the recognition for the necessity to understand and measure the activity of knowledge management, for which reason organizations and system organizations, together with decisional governmental factors, do their best in order to develop policies that would promote these benefits. Knowledge management (KM) implies any activity regarding the capture and the diffusion of knowledge within the organization. In our study we analyze the impacts and dimensions of KM upon ...
Full Text Available Constructing the rational knowledge network is an effective means of cooperative innovation organization. But collaborative innovation organization system is relatively complicated, and knowledge itself is latent and unexpected, knowledge network is not comprehensive and accurate. This paper analyzes deeply knowledge network of organization cooperative innovation, and builds a system dynamics model about knowledge network of collaborative innovation by using the system dynamics model and function of simulation of special drawing. Accorfing to the abovr medel, we can clearly conclude the key factor in the system, and quantitatively reveal the knowledge sharing which is the most important collaborative innovation rule in knowledge organization network.
Shun-Liang CAO; Lei QIN; Wei-Zhong HE; Yang ZHONG; Yang-Yong ZHU; Yi-Xue LI
Semantic search is a key issue in integration of heterogeneous biological databases. In thispaper, we present a methodology for implementing semantic search in BioDW, an integrated biological datawarehouse. Two tables are presented: the DB2GO table to correlate Gene Ontology (GO) annotated entriesfrom BioDW data sources with GO, and the semantic similarity table to record similarity scores derived fromany pair of GO terms. Based on the two tables, multifarious ways for semantic search are provided and thecorresponding entries in heterogeneous biological databases in semantic terms can be expediently searched.
Cui, Xiuliang; He, Haochen; He, Fuchu; Wang, Shengqi; Li, Fei; Bo, Xiaochen
It can be difficult for biomedical researchers to understand complex molecular networks due to their unfamiliarity with the mathematical concepts employed. To represent molecular networks with clear meanings and familiar forms for biomedical researchers, we introduce a knowledge-based computational framework to decipher biomedical networks by making systematic comparisons to well-studied “basic networks”. A biomedical network is characterized as a spectrum-like vector called “network fingerprint”, which contains similarities to basic networks. This knowledge-based multidimensional characterization provides a more intuitive way to decipher molecular networks, especially for large-scale network comparisons and clustering analyses. As an example, we extracted network fingerprints of 44 disease networks in the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. The comparisons among the network fingerprints of disease networks revealed informative disease-disease and disease-signaling pathway associations, illustrating that the network fingerprinting framework will lead to new approaches for better understanding of biomedical networks. PMID:26307246
Frolova, N.; Kozlov, M.; Larionov, V.; Nikolaev, A.; Suchshev, S.; Ugarov, A.
At present Systems for fast damage and loss assessment due to strong earthquakes may use as input data: (1) information about event parameters (magnitude, depth and coordinates) issued by Alert Seismological Surveys; (2) wave-form data obtained by strong-motion seismograph network; (3) high resolution space images of the affected area obtained before and after the event. When data about magnidute, depth and location of event are used to simulate possible consequences, the reliability of estimations depends on completeness and reliability of databases on elements at risk (population and built environment); reliability of vulnerability functions of elements at risk; and errors in strong earthquakes' parameters determination by Alert Seismological Surveys. Some of these factors may be taken into account at the expense of the System calibration with usage of well documented past strong earthquakes. The paper is describing the structure and content of the knowledge base about well documented strong events, which occurred in last century. It contains the description of more than 1000 events. The data are distributed almost homogeneously as the losses due to earthquakes are concerned; the most events are in the magnitude range 6.5 -7.9. Software is created to accumulate and analyze the information about these events source parameters and social consequences. Created knowledge base is used for calibration the Fast Damage Assessment Tool, which is at present on duty with the framework of EDRIM Program. It is also used as additional information by experts who analyses the results of computations.
Schultz, Roger D.; Stobie, Iain
The AI Bus architecture is layered, distributed object oriented framework developed to support the requirements of advanced technology programs for an order of magnitude improvement in software costs. The consequent need for highly autonomous computer systems, adaptable to new technology advances over a long lifespan, led to the design of an open architecture and toolbox for building large scale, robust, production quality systems. The AI Bus accommodates a mix of knowledge based and conventional components, running on heterogeneous, distributed real world and testbed environment. The concepts and design is described of the AI Bus architecture and its current implementation status as a Unix C++ library or reusable objects. Each high level semiautonomous agent process consists of a number of knowledge sources together with interagent communication mechanisms based on shared blackboards and message passing acquaintances. Standard interfaces and protocols are followed for combining and validating subsystems. Dynamic probes or demons provide an event driven means for providing active objects with shared access to resources, and each other, while not violating their security.
ABB STAL developed some years ago a knowledge-based on-line vibration analysis system (working-name KOVA). KOVA is intended to work together with some type of vibration monitoring system, at present it is adapted to TVM 300. KOVA has no controlling function. It will only diagnose the actual situation and give the user explanations and proposals for actions to be taken. During the developing work, great experience has been gained of the features this type of system demands. This paper will present the outlines of the application and also discuss how to make diagnoses based both on general rules as well as on historical vibration cases for that particular unit (or identical units9. Another subject that this paper will outline, is the representation and evaluation of knowledge. KOVA serves as a decision-support system for the operator. Since KOVA will often give the operator more than one possible diagnosis as the cause of a fault, it is of great importance to give the operator comprehensive explanations and as many facts as possible. It is also important to rank the suggested diagnoses in some way. In KOVA these demands are effectively supported. The models and tools used to realize this functionality will be described in this paper
These proceedings are split up into four major parts in order to reflect the most significant aspects of reliability and fault detection as viewed at present. The first part deals with knowledge-based systems and comprises eleven contributions from leading experts in the field. The emphasis here is primarily on the use of artificial intelligence, expert systems and other knowledge-based systems for fault detection and reliability. The second part is devoted to fault detection of technological systems and comprises thirteen contributions dealing with applications of fault detection techniques to various technological systems such as gas networks, electric power systems, nuclear reactors and assembly cells. The third part of the proceedings, which consists of seven contributions, treats robust, fault tolerant and intelligent controllers and covers methodological issues as well as several applications ranging from nuclear power plants to industrial robots to steel grinding. The fourth part treats fault tolerant digital techniques and comprises five contributions. Two papers, one on reactor noise analysis, the other on reactor control system design, are indexed separately. (author)
This paper describes two techniques, created and implemented in the course of development of the real-time on-line expert system Recon at the Nuclear Research Institute at Rez, Czech Republic. The first of them is the qualitative processing of uncertainty, which is based on the introduction of the third logic value to logic data objects, and the credibility flag to arithmetic data objects. The treatment of the third value and credibility flags during the inference, the explanation method based on the graphic representation and the uncertainty processing during the explanation are also mentioned. The second technique, is a semantic checking of knowledge bases, which enables us to recover parts of the bases, that are meaningless, either because of an error during their implementation into a base, or because they are redundant. The paper includes the explanation of basic terms of this method, such as so called conflicts, K-group and K-situation. The two types of the conflict (dead-end and bubble) are also discussed. The paper also offers the complete mathematical apparatus, which the checking method is based on. (author). 4 refs, tabs
Nguyen, ThanhDat; Kifor, Claudiu Vasile
DMAIC (Define, Measure, Analyze, Improve, and Control) is an important process used to enhance quality of processes basing on knowledge. However, it is difficult to access DMAIC knowledge. Conventional approaches meet a problem arising from structuring and reusing DMAIC knowledge. The main reason is that DMAIC knowledge is not represented and organized systematically. In this article, we overcome the problem basing on a conceptual model that is a combination of DMAIC process, knowledge management, and Ontology engineering. The main idea of our model is to utilizing Ontologies to represent knowledge generated by each of DMAIC phases. We build five different knowledge bases for storing all knowledge of DMAIC phases with the support of necessary tools and appropriate techniques in Information Technology area. Consequently, these knowledge bases provide knowledge available to experts, managers, and web users during or after DMAIC execution in order to share and reuse existing knowledge.
Full Text Available With the rapid development of the Internet, anonymity and privacy protection in many applications of the scene is critical. The anonymous authentication means that the server cant know the users identity when they are communicating with each other. In this paper, based on the Wangs zero knowledge proof scheme of possessing a digital signature, we propose a new anonymous authentication scheme. Compared with the Cui-Caos anonymous authentication protocol based on the ring signature, our scheme has two advantages. First, we dont need to know all users public keys. And then our scheme reduces the communication traffic largely. We also discuss the security attributes of our new scheme which are authentication, anonymity and unlinkablity. And then we introduce a concrete application of our scheme. Finally, we make a conclusion of this paper.
This book presents a sample of research on knowledge-based systems in biomedicine and computational life science. The contributions include: · personalized stress diagnosis system · image analysis system for breast cancer diagnosis · analysis of neuronal cell images · structure prediction of protein · relationship between two mental disorders · detection of cardiac abnormalities · holistic medicine based treatment · analysis of life-science data
A computer program that belongs to the class known among software experts as output truth-maintenance-systems (output TMSs) has been devised as one of a number of software tools for reducing the size of the knowledge base that must be searched during execution of artificial- intelligence software of the rule-based inference-engine type in a case in which data are missing. This program determines whether the consequences of activation of two or more rules can be combined without causing a logical inconsistency. For example, in a case involving hypothetical scenarios that could lead to turning a given device on or off, the program determines whether a scenario involving a given combination of rules could lead to turning the device both on and off at the same time, in which case that combination of rules would not be included in the scenario.
Taylor, Edward T.
Allied Health Programs generally require that students complete coursework in Human Anatomy and Physiology I and II as part of their Pre-Allied Health curriculum. Human Anatomy and Physiology I generally has as a prerequisite some coursework in basic biology. Basic biology as a prerequisite should provide students with the foundation of knowledge in the basic biological principles and processes that will prepare them for the material presented in a Human Anatomy and Physiology I course and the Allied Health Program. The principle question that prompted this study was, Do students need coursework in basic biology to be successful in Anatomy and Physiology I? The purpose of this study was to determine if there was a difference in the exam average obtained in Biology 202, Human Anatomy and Physiology I, for those students who have had, within the previous three years, a foundation course in basic biology as compared to those students who have not, within the previous three years, had a foundation course in basic biology. The current study analyzed data obtained on 642 students who were enrolled in Biology 202, Anatomy and Physiology I, during the Fall semester of 2000 to the Spring semester of 2003 at Wor-Wic Community College. Statistical techniques including an ANOVA, Pearson Product Moment Correlation, and a Multiple Regression Analysis were conducted to reveal any relationships in the data. The dependent variable was the exam average obtained in the independent variables included the time period since the student had taken a basic biology course, sex, age, and college GPA. The results of the ANOVA indicated that there was no relationship between the exam average between current and non-current students, where alpha = 0.05 and p = 0.783. There was statistically significance for GPA, where p = 0 .000. There was also statistically significant interactions between last biology course and GPA, p = 0.05, last biology course, sex, and GPA, p = 0.002. The Pearson Product
An increasing number of firms are moving into a new form of competition which can be described as knowledge-based competition. Firms in knowledge-based rivalry are competing mostly on their learning capabilities. The relative importance of capital and labor as a key input factor in the production process is diminishing in favor of knowledge. Accordingly, firms in knowledge-based competition can be labeled as knowledge-intensive in contrast to capital- or labor-intensive firms (Starbuck, 1992)...
Christopher, Jabez J.; Khanna H. Nehemiah; Kannan Arputharaj
Knowledge mined from clinical data can be used for medical diagnosis and prognosis. By improving the quality of knowledge base, the efficiency of prediction of a knowledge-based system can be enhanced. Designing accurate and precise clinical decision support systems, which use the mined knowledge, is still a broad area of research. This work analyses the variation in classification accuracy for such knowledge-based systems using different rule lists. The purpose of this work is not to improve...
Radiation protection is based on a large number of human data collected during the past 80 years. For dose levels of a few hundred rads, risks can be evaluated very accurately. Yet it is difficult to derive from them the risks due to low doses because of the uncertainty on the dose-effect relationship. In the practice, pessimistic assumptions are used, which involves an over-estimation of risks. However, even in these unfavorable conditions, risks associated to occupational activities implying radiation exposure seem to be less important than in most industries. Radiation protection has played a historical and essential part in the quantitative assessment of risks and opened a new era of occupational medicine and environmental health investigations. Many substances, such as radiations, are mutagenic and/or carcinogenic at very low doses, and in many cases human exposure cannot be avoided. Therefore, a policy advocating refusal of any risk whatsoever and absolute safety will lure with unattainable and misleading prospects. The only method is to assess the quantitative importance of the various risks in order to decide how far a damage may be tolerable in the various cases when exposure cannot be avoided
JIANG Tao; LI Qing-fen; LI Ming; FU Wei
A knowledge-based system in structural component design based on fracture mechanics is developed in this paper. The system consists of several functional parts: a general inference engine, a set of knowledge bases and data-bases, an interpretation engine, a bases administration system and the interface. It can simulate a human expert to make analysis and design scheme mainly for four kinds of typical structural components widely used in shipbuilding industry: pressure vessels, huge rotation constructions, pump-rod and welded structures. It is an open system which may be broadened and perfected to cover a wider range of engineering application through the modification and enlargement of knowledge bases and data-bases. It has a natural and friendly interface that may be easily operated. An on-line help service is also provided.
This revision of the Knowledge Base for Emergency Core Cooling System Recirculation Reliability (NEA/CSNI/R (95)11) describes the current status (late 2012) of the knowledge base on emergency core cooling system (ECCS) and containment spray system (CSS) suction strainer performance and long-term cooling in operating power reactors. New reactors, such as the AP1000, EPR and APR1400 that are under construction in some Organization for Economic Co-operation and Development (OECD) member countries, are not addressed in detail in this revision. The containment sump (also known as the emergency or recirculation sump in pressurized water reactors (PWRs) and pressurized heavy water reactors (PHWRs) or the suppression pools or wet wells in boiling water reactors (BWRs)) and associated ECCS strainers are parts of the ECCS in both reactor types. All nuclear power plants (NPPs) are required to have an ECCS that is capable of mitigating a design basis accident (DBA). The containment sump collects reactor coolant, ECCS injection water, and containment spray solutions, if applicable, after a loss-of-coolant accident (LOCA). The sump serves as the water source to support long-term recirculation for residual heat removal, emergency core cooling, and containment atmosphere clean-up. This water source, the related pump suction inlets, and the piping between the source and inlets are important safety-related components. In addition, if fibrous material is deposited at the fuel element spacers, core cooling can be endangered. The performance of ECCS/CSS strainers was recognized many years ago as an important regulatory and safety issue. One of the primary concerns is the potential for debris generated by a jet of high-pressure coolant during a LOCA to clog the strainer and obstruct core cooling. The issue was considered resolved for all reactor types in the mid-1990s and the OECD/NEA/CSNI published report NEA/CSNI/R(95)11 in 1996 to document the state of knowledge of ECCS performance
Arab Maki, Alireza; Shariat Zadeh, Navid
The objective of this thesis is to design and develop a knowledge base model to support the maintenance system structure. The aim of this model is to identify the failure modes which are the heart of maintenance system through the functional analysis and then serves as adecision support system to define the maintenance tasks and finally to implement a preventive maintenance task. This knowledge base management system is suitable to design and develop maintenance system since it encompasses al...
In knowledge-based engineering, the inference engine plays an important part in the behaviour of the system. A flexible and adaptive execution scheme allows the designer to experiment with different modes of operation and selecting an appropriate one with respect to the initial data set and the execution goal. In this project, an extension of an existing research prototype software in the field of knowledge-based engineering will be developed, with the goal of building a reliable and easy to ...
Maryanne C. Simurda
As biology education is being redesigned toward an interdisciplinary focus and as pedagogical trends move toward active-learning strategies and investigative experiences, a restructuring of the course content for the Introductory Biology course is necessary. The introductory course in biology has typically been a survey of all the biosciences. If the total number of topics covered is reduced, is the students’ overall knowledge of biology also reduced? Our introductory course has been substant...
Lumb, L. I.; Lederman, J. I.; Aldridge, K. D.
Earth Science Markup Language (ESML) is efficient and effective in representing scientific data in an XML- based formalism. However, features of the data being represented are not accounted for in ESML. Such features might derive from events (e.g., a gap in data collection due to instrument servicing), identifications (e.g., a scientifically interesting area/volume in an image), or some other source. In order to account for features in an ESML context, we consider them from the perspective of annotation, i.e., the addition of information to existing documents without changing the originals. Although it is possible to extend ESML to incorporate feature-based annotations internally (e.g., by extending the XML schema for ESML), there are a number of complicating factors that we identify. Rather than pursuing the ESML-extension approach, we focus on an external representation for feature-based annotations via XML Pointer Language (XPointer). In previous work (Lumb &Aldridge, HPCS 2006, IEEE, doi:10.1109/HPCS.2006.26), we have shown that it is possible to extract relationships from ESML-based representations, and capture the results in the Resource Description Format (RDF). Thus we explore and report on this same requirement for XPointer-based annotations of ESML representations. As in our past efforts, the Global Geodynamics Project (GGP) allows us to illustrate with a real-world example this approach for introducing annotations into automatically generated knowledge representations.
Schrading, J. Nicolas
The Knowledge-Based Autonomous Test Engineer (KATE) program has a long history at KSC. Now a part of the Autonomous Cryogenic Load Operations (ACLO) mission, this software system has been sporadically developed over the past 20 years. Originally designed to provide health and status monitoring for a simple water-based fluid system, it was proven to be a capable autonomous test engineer for determining sources of failure in the system. As part of a new goal to provide this same anomaly-detection capability for a complicated cryogenic fluid system, software engineers, physicists, interns and KATE experts are working to upgrade the software capabilities and graphical user interface. Much progress was made during this effort to improve KATE. A display of the entire cryogenic system's graph, with nodes for components and edges for their connections, was added to the KATE software. A searching functionality was added to the new graph display, so that users could easily center their screen on specific components. The GUI was also modified so that it displayed information relevant to the new project goals. In addition, work began on adding new pneumatic and electronic subsystems into the KATE knowledge base, so that it could provide health and status monitoring for those systems. Finally, many fixes for bugs, memory leaks, and memory errors were implemented and the system was moved into a state in which it could be presented to stakeholders. Overall, the KATE system was improved and necessary additional features were added so that a presentation of the program and its functionality in the next few months would be a success.
Automatic cancer diagnostic systems based on histological image classification are important for improving therapeutic decisions. Previous studies propose textural and morphological features for such systems. These features capture patterns in histological images that are useful for both cancer grading and subtyping. However, because many of these features lack a clear biological interpretation, pathologists may be reluctant to adopt these features for clinical diagnosis. We examine the utility of biologically interpretable shape-based features for classification of histological renal tumor images. Using Fourier shape descriptors, we extract shape-based features that capture the distribution of stain-enhanced cellular and tissue structures in each image and evaluate these features using a multi-class prediction model. We compare the predictive performance of the shape-based diagnostic model to that of traditional models, i.e., using textural, morphological and topological features. The shape-based model, with an average accuracy of 77%, outperforms or complements traditional models. We identify the most informative shapes for each renal tumor subtype from the top-selected features. Results suggest that these shapes are not only accurate diagnostic features, but also correlate with known biological characteristics of renal tumors. Shape-based analysis of histological renal tumor images accurately classifies disease subtypes and reveals biologically insightful discriminatory features. This method for shape-based analysis can be extended to other histological datasets to aid pathologists in diagnostic and therapeutic decisions
M. Enamul Hossain
Full Text Available It is well known that reservoir simulation studies are very subjective and vary fromsimulator to simulator. While SPE benchmarking has helped accept differences inpredicting petroleum reservoir performance, there has been no scientific explanationbehind the variability that has frustrated many policy makers and operations managers andpuzzled scientists and engineers. In a recent book by the research group of R. Islam, anew approach is taken to add the Knowledge dimension to the problem. For the first time,reservoir simulation equations are shown to have embedded variability and multiplesolutions that are in line with physics rather than spurious mathematical solutions. Withthis clear description, a fresh perspective in reservoir simulation is presented. Unlike themajority of reservoir simulation approaches available today, the 'knowledge-based'approach does not stop at questioning the fundamentals of reservoir simulation but offerssolutions and demonstrates that proper reservoir simulation should be transparent andempower decision makers rather than creating a black box. Mathematical developments ofnew governing equations based on in-depth understanding of the factors that influencefluid flow in porous media under different flow conditions are introduced. Behavior of flowthrough matrix and fractured systems in the same reservoir, heterogeneity and fluid/rockproperties interactions, Darcy and non-Darcy flow are among the issues that are thoroughlyaddressed. For the first time, the fluid memory factor is introduced with a functionalform. The resulting governing equations are solved without linearization at any stage. Aseries of clearly superior mathematical and numerical techniques are also presented thatallow one to achieve this objective. Mathematical solutions that provide a basis forsystematic tracking of multiple solutions that are inherent to non-linear governingequations. This was possible because the new technique is capable of solving non