Mondragón Donés, Salvador; Company, Pedro; Vergara Monedero, Margarita
In this article, a study is presented showing that Product Semantics (PS) can be used to study the design of machine tools. Nowadays, different approaches to PS (Semantic Differential, Kansei Engineering, etc.) are being applied to consumer products with successful results, but commercial products have generally received less attention and machine tools in particular have not yet been studied. Our second objective is to measure the different sensitivities that the different groups of the popu...
Ivan Gazeau; Dale Miller; Catuscia Palamidessi
International audience The approximation introduced by finite-precision representation of continuous data can induce ar- bitrarily large information leaks even when the computation using exact semantics is secure. Such leakage can thus undermine design efforts aimed at protecting sensitive information. We focus here on differential privacy, an approach to privacy that emerged from the area of statistical databases and is now widely applied also in other domains. In this approach, privacy i...
Full Text Available The approximation introduced by finite-precision representation of continuous data can induce arbitrarily large information leaks even when the computation using exact semantics is secure. Such leakage can thus undermine design efforts aimed at protecting sensitive information. We focus here on differential privacy, an approach to privacy that emerged from the area of statistical databases and is now widely applied also in other domains. In this approach, privacy is protected by the addition of noise to a true (private value. To date, this approach to privacy has been proved correct only in the ideal case in which computations are made using an idealized, infinite-precision semantics. In this paper, we analyze the situation at the implementation level, where the semantics is necessarily finite-precision, i.e. the representation of real numbers and the operations on them, are rounded according to some level of precision. We show that in general there are violations of the differential privacy property, and we study the conditions under which we can still guarantee a limited (but, arguably, totally acceptable variant of the property, under only a minor degradation of the privacy level. Finally, we illustrate our results on two cases of noise-generating distributions: the standard Laplacian mechanism commonly used in differential privacy, and a bivariate version of the Laplacian recently introduced in the setting of privacy-aware geolocation.
Mohammed, Osama; Benlamri, Rachid
In this paper we describe a novel model for differential diagnosis designed to make recommendations by utilizing semantic web technologies. The model is a response to a number of requirements, ranging from incorporating essential clinical diagnostic semantics to the integration of data mining for the process of identifying candidate diseases that best explain a set of clinical features. We introduce two major components, which we find essential to the construction of an integral differential diagnosis recommendation model: the evidence-based recommender component and the proximity-based recommender component. Both approaches are driven by disease diagnosis ontologies designed specifically to enable the process of generating diagnostic recommendations. These ontologies are the disease symptom ontology and the patient ontology. The evidence-based diagnosis process develops dynamic rules based on standardized clinical pathways. The proximity-based component employs data mining to provide clinicians with diagnosis predictions, as well as generates new diagnosis rules from provided training datasets. This article describes the integration between these two components along with the developed diagnosis ontologies to form a novel medical differential diagnosis recommendation model. This article also provides test cases from the implementation of the overall model, which shows quite promising diagnostic recommendation results. PMID:25178271
Mühlbacher, Susanne; Hammwöhner, Rainer; Wolff, Christian
The study focuses on eliciting a semantic concept of Information Literacy by capturing the information worker s perception of the information process. It is presumed that this perception influences the formation and advancement of Information Literacy at the workplace. The approach is based on the creation of a semantic differential scale. Target group are scientists from the field of natural sciences. The survey shows that five partly correlated principal aspects play a major role: personal ...
Explains the concept of a semantic Web where software agents perform jobs for end-users by using hierarchies, metadata, and structured vocabularies. Discusses taxonomies; defining ontologies and taxonomies; standardized language and conceptual relationships; different points of emphasis; and topic maps as new Web infrastructure. (LRW)
Jackson, Rebecca L.; Hoffman, Paul; Pobric, Gorana
The anterior temporal lobe (ATL) makes a critical contribution to semantic cognition. However, the functional connectivity of the ATL and the functional network underlying semantic cognition has not been elucidated. In addition, subregions of the ATL have distinct functional properties and thus the potential differential connectivity between these subregions requires investigation. We explored these aims using both resting-state and active semantic task data in humans in combination with a dual-echo gradient echo planar imaging (EPI) paradigm designed to ensure signal throughout the ATL. In the resting-state analysis, the ventral ATL (vATL) and anterior middle temporal gyrus (MTG) were shown to connect to areas responsible for multimodal semantic cognition, including bilateral ATL, inferior frontal gyrus, medial prefrontal cortex, angular gyrus, posterior MTG, and medial temporal lobes. In contrast, the anterior superior temporal gyrus (STG)/superior temporal sulcus was connected to a distinct set of auditory and language-related areas, including bilateral STG, precentral and postcentral gyri, supplementary motor area, supramarginal gyrus, posterior temporal cortex, and inferior and middle frontal gyri. Complementary analyses of functional connectivity during an active semantic task were performed using a psychophysiological interaction (PPI) analysis. The PPI analysis highlighted the same semantic regions suggesting a core semantic network active during rest and task states. This supports the necessity for semantic cognition in internal processes occurring during rest. The PPI analysis showed additional connectivity of the vATL to regions of occipital and frontal cortex. These areas strongly overlap with regions found to be sensitive to executively demanding, controlled semantic processing. SIGNIFICANCE STATEMENT Previous studies have shown that semantic cognition depends on subregions of the anterior temporal lobe (ATL). However, the network of regions
Gluth, Sebastian; Ebner, Natalie C.; Schmiedek, Florian
The present study used the German Aging Semantic Differential (ASD) to assess attitudes toward younger and older adults in a heterogeneous sample of n = 151 younger and n = 143 older adults. The questionnaire was administered in two versions, one referring to the evaluation of younger adults, the other to the evaluation of older adults.…
Budovec, Joseph J; Lam, Cesar A; Kahn, Charles E
The Semantic Web is an effort to add semantics, or "meaning," to empower automated searching and processing of Web-based information. The overarching goal of the Semantic Web is to enable users to more easily find, share, and combine information. Critical to this vision are knowledge models called ontologies, which define a set of concepts and formalize the relations between them. Ontologies have been developed to manage and exploit the large and rapidly growing volume of information in biomedical domains. In diagnostic radiology, lists of differential diagnoses of imaging observations, called gamuts, provide an important source of knowledge. The Radiology Gamuts Ontology (RGO) is a formal knowledge model of differential diagnoses in radiology that includes 1674 differential diagnoses, 19,017 terms, and 52,976 links between terms. Its knowledge is used to provide an interactive, freely available online reference of radiology gamuts ( www.gamuts.net ). A Web service allows its content to be discovered and consumed by other information systems. The RGO integrates radiologic knowledge with other biomedical ontologies as part of the Semantic Web. PMID:24428295
Chedid, Georges; Wilson, Maximiliano A; Provost, Jean-Sebastien; Joubert, Sven; Rouleau, Isabelle; Brambati, Simona M
The ability to recognize a famous person occurs through semantic memory. Previous neuroimaging studies have shown that the anterior temporal lobes (ATLs) are involved in the recognition of famous people. However, it is still a matter of debate whether the semantic processing of names or pictures of famous people has an impact on the activation of ATLs. The aim of this study was to explore the pattern of activation associated with a semantic processing of famous people based on face and written name stimuli. Fifteen healthy young individuals participated in our fMRI study, in which they were asked to perform a semantic categorization judgment task, based on profession, of visually presented pictures, and names of famous people. Neuroimaging findings showed a common pattern of activation for faces and names mainly involving the inferior frontal regions, the posterior temporal lobe, the visual cortex, and the ATLs. We found that the comparison names vs. pictures lead to significant activation in the anterior superior temporal gyrus. On the other hand, faces vs. names seemed associated with increased activation in the medial ATL. Moreover, our results demonstrated that the functional connectivity network anchored to the medial ATL, compared to the anterior STG, is more connected to the bilateral occipital lobe and fusiform gyrus that are regions implicated in the visual system and visual processing of faces. This study provides critical evidence of the differential involvement of ATL regions in semantics of famous people. PMID:27625630
Marinelli, Nicola; Fabbrizzi, Sara; Alampi Sottini, Veronica; Sacchelli, Sandro; Bernetti, Iacopo; Menghini, Silvio
The aim of the study is the elicitation of the consumer's semantic perception of different alcoholic beverages in order to provide information for the definition of communication strategies for both the private sector (and specifically the wine industry) and the public decision maker. Such information can be seen as the basis of a wider social marketing construct aimed at the promotion of responsible drinking among young consumers. The semantic differential approach was used in this study. The data collection was based on a survey to 430 consumers between 18 and 35years old in Tuscany, Italy. The database was organized in a three-way structure, indexing the data in a multiway matrix. The data were processed using a Multiple Factor Analysis (MFA). Moreover, homogeneous clusters of consumers were identified using a Hierarchical Clustering on Principal Components (HCPC) approach. The results of the study highlight that beer and spirits are mainly perceived as "Young", "Social", "Euphoric", "Happy", "Appealing" and "Trendy" beverages, while wine is associated mostly with terms such as "Pleasure", "Quality" and "Comfortable". Furthermore, the cluster analysis allowed for the identification of three groups of individuals with different approaches to alcohol drinking. The results of the study supply a useful information framework for the elaboration of specific communication strategies that, based on the drinking habits of young consumers and their perception of different beverages, can use a language that is very close to the consumer typologies. Such information can be helpful for both private and public communication strategies. PMID:24370355
Torija, Antonio J; Ruiz, Diego P; Ramos-Ridao, A F
A subjective and physical categorization of an ambient sound is the first step to evaluate the soundscape and provides a basis for designing or adapting this ambient sound to match people's expectations. For this reason, the main goal of this work is to develop a categorization and differentiation analysis of soundscapes on the basis of acoustical and perceptual variables. A hierarchical cluster analysis, using 15 semantic-differential attributes and acoustical descriptors to include an equivalent sound-pressure level, maximum-minimum sound-pressure level, impulsiveness of the sound-pressure level, sound-pressure level time course, and spectral composition, was conducted to classify soundscapes into different typologies. This analysis identified 15 different soundscape typologies. Furthermore, based on a discriminant analysis the acoustical descriptors, the crest factor (impulsiveness of the sound-pressure level), and the sound level at 125 Hz were found to be the acoustical variables with the highest impact in the differentiation of the recognized types of soundscapes. Finally, to determine how the different soundscape typologies differed from each other, both subjectively and acoustically, a study was performed. PMID:23862885
Qianhua Zhao; Qihao Guo; Zhen Hong
The verbal fluency test (VFT) can be dissociated into "clustering" (generating words within subcategories)and "switching" (shifting between clusters),which may be valuable in differential diagnosis.In the current study,we investigated the validity of VFT in the differential diagnosis of Alzheimer's disease (AD,n=65),vascular dementia (VaD,n =65),mild cognitive impairment (MCI,n =92),and vascular cognitive impairment without dementia (VCIND,n =76) relative to cognitively normal senior controls (NC,n =374).We found that in the NC group,the total correct score was significantly correlated with age and education; males generated more subcategories; cluster size increased with education,and subcategory and switching decreased with age.A significantly progressive advantage was observed in VFT scores in the sequence NC ＞ MCINCIND ＞ ADNaD,and this significantly discriminated dementia patients from the other groups.AD patients performed better in all four VFT scores than VaD patients.Subcategory and switching scores significantly distinguished AD from VaD patients (AD ＞ VaD; mean difference,0.50 for subcategory,P ＜0.05; 0.71 for switching,P ＜0.05).MCI patients scored higher than VCIND patients,but the difference did not reach statistical significance.These results suggest that semantic VFT is useful for the detection of MCI and VCIND,and in the differential diagnosis of cognitive impairment.
Hodges, J R; Salmon, D P.; Butters, N
A controlled prospective study compared the performance of 14 patients with dementia of Alzheimer type (DAT) and 14 patients with Huntington's Disease (HD), who were matched for overall level of dementia, on a battery of semantic and episodic memory tests. The DAT patients were significantly more impaired on measures of delayed verbal and figural episodic memory, and in addition showed a more rapid rate of decline on tests which depend upon the integrity of semantic knowledge (naming, number ...
Özcan Vieira, E.; Egmond , R. van
Product experience is a result of sensory and semantic experiences with product properties. In this paper, we focus on the semantic attributes of product sounds and explore the basic components for product sound related semantics using a semantic differential paradigmand factor analysis. With two experiments, we determined eight factors that underlie the semantic associations of product sounds (attention, roughness, smoothness, temporal constancy, (un)familiarity, unpleasantness, machinery, a...
Zamanzadeh, Ben; Ashish, Naveen; Ramakrishnan, Cartic; Zimmerman, John
We present the concept of Semantic Advertising which we see as the future of online advertising. Semantic Advertising is online advertising powered by semantic technology which essentially enables us to represent and reason with concepts and the meaning of things. This paper aims to 1) Define semantic advertising, 2) Place it in the context of broader and more widely used concepts such as the Semantic Web and Semantic Search, 3) Provide a survey of work in related areas such as context matchi...
Holmes, Stewart W.
Draws distinctions between the terms semantics (dealing with such verbal parameters as dictionaries and "laws" of logic and rhetoric), general semantics (semantics, plus the complex, dynamic, organismal properties of human beings and their physical environment), and neurosemantics (names for relations-based input from the neurosensory system, and…
O'Hara, Kieron; Hall, Wendy
The Semantic Web is a vision of a web of linked data, allowing querying, integration and sharing of data from distributed sources in heterogeneous formats, using ontologies to provide an associated and explicit semantic interpretation. The article describes the series of layered formalisms and standards that underlie this vision, and chronicles their historical and ongoing development. A number of applications, scientific and otherwise, academic and commercial, are reviewed. The Semantic Web ...
Mohanty, Praggyan Pam; Naveh-Benjamin, Moshe; Ratneshwar, Srinivasan
The effects of two types of semantic memory support-meaningfulness of an item and relatedness between items-in mitigating age-related deficits in item and associative, memory are examined in a marketing context. In Experiment 1, participants studied less (vs. more) meaningful brand logo graphics (pictures) paired with meaningful brand names (words) and later were assessed by item (old/new) and associative (intact/recombined) memory recognition tests. Results showed that meaningfulness of items eliminated age deficits in item memory, while equivalently boosting associative memory for older and younger adults. Experiment 2, in which related and unrelated brand logo graphics and brand name pairs served as stimuli, revealed that relatedness between items eliminated age deficits in associative memory, while improving to the same degree item memory in older and younger adults. Experiment 2 also provided evidence for a probable boundary condition that could reconcile seemingly contradictory extant results. Overall, these experiments provided evidence that although the two types of semantic memory support can improve both item and associative memory in older and younger adults, older adults' memory deficits can be eliminated when the type of support provided is compatible with the type of information required to perform well on the test. PMID:26765749
Sauermann, Leo; Kiesel, Malte; Schumacher, Kinga; Bernardi, Ansgar
In diesem Beitrag wird gezeigt, wie der Arbeitsplatz der Zukunft aussehen könnte und wo das Semantic Web neue Möglichkeiten eröffnet. Dazu werden Ansätze aus dem Bereich Semantic Web, Knowledge Representation, Desktop-Anwendungen und Visualisierung vorgestellt, die es uns ermöglichen, die bestehenden Daten eines Benutzers neu zu interpretieren und zu verwenden. Dabei bringt die Kombination von Semantic Web und Desktop Computern besondere Vorteile - ein Paradigma, das unter dem Titel Semantic Desktop bekannt ist. Die beschriebenen Möglichkeiten der Applikationsintegration sind aber nicht auf den Desktop beschränkt, sondern können genauso in Web-Anwendungen Verwendung finden.
Understanding natural language is a cognitive, information-driven process. Discussing some of the consequences of this fact, the paper offers a novel look at the semantic effect of lexical nouns and the identification of reference types.......Understanding natural language is a cognitive, information-driven process. Discussing some of the consequences of this fact, the paper offers a novel look at the semantic effect of lexical nouns and the identification of reference types....
Chen, Qingfei; Ye, Chun; Liang, Xiuling; Cao, Bihua; Lei, Yi; Li, Hong
Most current models of knowledge organization are based on hierarchical (plant-pine) or taxonomic categories (animal-plant). Another important organizational pattern is thematic categories, which performs external or complementary roles in the same scenario or event (bee-honey). The goal of this study was to explore the processing of hierarchical categories and thematic categories under automatic processing conditions that minimize strategic influences. The Evoked response potential (ERP) procedure was used to examine the time course of semantic priming for category members with a short stimulus onset asynchrony (SOA) of 300ms as participants performed a lexical decision task. Six experimental conditions were compared: hierarchical relations (offspring-grandson), internal features (gold-golden), productive relations (bee-honey), script relations (room-tenant), unrelated (star-spoon), and non-word trials (star-derf). We found faster reaction times for related prime-target pairs than unrelated pairs except for productive relations. The ERP data showed that an early N400 effect (200-400ms) was more negative for unrelated words than for all related words. Furthermore, a frontal negativity (400-550ms) elicited by productive relations was smaller (more positive) than other related words. We suggest that the smaller frontal negativity in the processing of productive relations indicates their increased salience in knowledge structure compared to less prominent hierarchical relations. Indeed, the allocation of attentional resources and subsequent recruitment of additional memory processing might be two of the hallmarks of thematic relations. PMID:25234647
Given that semantic Web realization is based on the critical mass of metadata accessibility and the representation of data with formal knowledge, it needs to generate metadata that is specific, easy to understand and well-defined. However, semantic annotation of the web documents is the successful way to make the Semantic Web vision a reality. This paper introduces the Semantic Web and its vision (stack layers) with regard to some concept definitions that helps the understanding of semantic a...
The semantic Web is a technology at the service of knowledge which is aimed at accessibility and the sharing of content; facilitating interoperability between different systems and as such is one of the nine key technological pillars of TIC (technologies for information and communication) within the third theme, programme specific cooperation of the seventh programme framework for research and development (7°PQRS, 2007-2013). As a system it seeks to overcome overload or excess of irrelevant i...
Paul J. E. Dekker
Full Text Available In the last decade the enterprise of formal semantics has been under attack from several philosophical and linguistic perspectives, and it has certainly suffered from its own scattered state, which hosts quite a variety of paradigms which may seem to be incompatible. It will not do to try and answer the arguments of the critics, because the arguments are often well-taken. The negative conclusions, however, I believe are not. The only adequate reply seems to be a constructive one, which puts several pieces of formal semantics, in particular dynamic semantics, together again. In this paper I will try and sketch an overview of tasks, techniques, and results, which serves to at least suggest that it is possible to develop a coherent overall picture of undeniably important and structural phenomena in the interpretation of natural language. The idea is that the concept of meanings as truth conditions after all provides an excellent start for an integrated study of the meaning and use of natural language, and that an extended notion of goal directed pragmatics naturally complements this picture. None of the results reported here are really new, but we think it is important to re-collect them.ReferencesAsher, Nicholas & Lascarides, Alex. 1998. ‘Questions in Dialogue’. Linguistics and Philosophy 23: 237–309.http://dx.doi.org/10.1023/A:1005364332007Borg, Emma. 2007. ‘Minimalism versus contextualism in semantics’. In Gerhard Preyer & Georg Peter (eds. ‘Context-Sensitivity and Semantic Minimalism’, pp. 339–359. Oxford: Oxford University Press.Cappelen, Herman & Lepore, Ernest. 1997. ‘On an Alleged Connection between Indirect Quotation and Semantic Theory’. Mind and Language 12: pp. 278–296.Cappelen, Herman & Lepore, Ernie. 2005. Insensitive Semantics. Oxford: Blackwell.http://dx.doi.org/10.1002/9780470755792Dekker, Paul. 2002. ‘Meaning and Use of Indefinite Expressions’. Journal of Logic, Language and Information 11: pp. 141–194
Stumme, Gerd; Hotho, Andreas; Berendt, Bettina
Semantic Web Mining aims at combining the two fast-developing research areas Semantic Web and Web Mining. This survey analyzes the convergence of trends from both areas: an increasing number of researchers is working on improving the results of Web Mining by exploiting semantic structures in the Web, and they make use of Web Mining techniques for building the Semantic Web. Last but not least, these techniques can be used for mining the Semantic Web itself. The Semantic Web is t...
Zhang, Chuanrong; Li, Weidong
This book covers key issues related to Geospatial Semantic Web, including geospatial web services for spatial data interoperability; geospatial ontology for semantic interoperability; ontology creation, sharing, and integration; querying knowledge and information from heterogeneous data source; interfaces for Geospatial Semantic Web, VGI (Volunteered Geographic Information) and Geospatial Semantic Web; challenges of Geospatial Semantic Web; and development of Geospatial Semantic Web applications. This book also describes state-of-the-art technologies that attempt to solve these problems such
Hall, Wendy; O'Hara, Kieron
The Semantic Web is a proposed extension to the World Wide Web (WWW) that aims to provide a common framework for sharing and reusing data across applications. The most common interfaces to the World Wide Web present it as a Web of Documents, linked in various ways including hyperlinks. But from the data point of view, each document is a black box – the data are not given independently of their representation in the document. This reduces its power, and also (as most information needs to be ex...
Full Text Available The semantic Web is a technology at the service of knowledge which is aimed at accessibility and the sharing of content; facilitating interoperability between different systems and as such is one of the nine key technological pillars of TIC (technologies for information and communication within the third theme, programme specific cooperation of the seventh programme framework for research and development (7°PQRS, 2007-2013. As a system it seeks to overcome overload or excess of irrelevant information in Internet, in order to facilitate specific or pertinent research. It is an extension of the existing Web in which the aim is for cooperation between and the computer and people (the dream of Sir Tim Berners –Lee where machines can give more support to people when integrating and elaborating data in order to obtain inferences and a global sharing of data. It is a technology that is able to favour the development of a “data web” in other words the creation of a space in both sets of interconnected and shared data (Linked Data which allows users to link different types of data coming from different sources. It is a technology that will have great effect on everyday life since it will permit the planning of “intelligent applications” in various sectors such as education and training, research, the business world, public information, tourism, health, and e-government. It is an innovative technology that activates a social transformation (socio-semantic Web on a world level since it redefines the cognitive universe of users and enables the sharing not only of information but of significance (collective and connected intelligence.
Segaran, Toby; Taylor, Jamie
With this book, the promise of the Semantic Web -- in which machines can find, share, and combine data on the Web -- is not just a technical possibility, but a practical reality Programming the Semantic Web demonstrates several ways to implement semantic web applications, using current and emerging standards and technologies. You'll learn how to incorporate existing data sources into semantically aware applications and publish rich semantic data. Each chapter walks you through a single piece of semantic technology and explains how you can use it to solve real problems. Whether you're writing
Splendiani, Andrea; Burger, Albert; Paschke, Adrian; Romano, Paolo; Marshall, M Scott
The Semantic Web offers an ideal platform for representing and linking biomedical information, which is a prerequisite for the development and application of analytical tools to address problems in data-intensive areas such as systems biology and translational medicine. As for any new paradigm, the adoption of the Semantic Web offers opportunities and poses questions and challenges to the life sciences scientific community: which technologies in the Semantic Web stack will be more beneficial for the life sciences? Is biomedical information too complex to benefit from simple interlinked representations? What are the implications of adopting a new paradigm for knowledge representation? What are the incentives for the adoption of the Semantic Web, and who are the facilitators? Is there going to be a Semantic Web revolution in the life sciences?We report here a few reflections on these questions, following discussions at the SWAT4LS (Semantic Web Applications and Tools for Life Sciences) workshop series, of which this Journal of Biomedical Semantics special issue presents selected papers from the 2009 edition, held in Amsterdam on November 20th. PMID:21388570
The availability of geographic and geospatial information and services, especially on the open Web has become abundant in the last several years with the proliferation of online maps, geo-coding services, geospatial Web services and geospatially enabled applications. The need for geospatial reasoning has significantly increased in many everyday applications including personal digital assistants, Web search applications, local aware mobile services, specialized systems for emergency response, medical triaging, intelligence analysis and more. Geospatial Semantics and the Semantic Web: Foundation
Berendt, Bettina; Hotho, Andreas; Stumme, Gerd
Semantic Web Mining aims at combining the two fast-developing research areas Semantic Web and Web Mining. The idea is to improve, on the one hand, the results of Web Mining by exploiting the new semantic structures in the Web; and to make use of Web Mining, on overview of where the two areas meet today, and sketches ways of how a closer integration could be profitable.
Galizia, Stefania; Gugliotta, Alessio; Pedrinaci, Carlos; Domingue, John
The use of Semantic Web Services (SWS) for increasing agility and adaptability in process execution is currently investigated in many settings. The common underlying idea is the dynamic selection, composition and mediation - on the basis of available SWS descriptions - of the most adequate Web resource (services and data) to accomplish a specific process activity. In this paper we describe IRS-III, a framework for creating and executing semantic Web services, which takes a semantic broker bas...
Shadbolt, Nigel; Berners-Lee, Tim; Hall, Wendy
The original Scientific American article on the Semantic Web appeared in 2001. It described the evolution of a Web that consisted largely of documents for humans to read to one that included data and information for computers to manipulate. The Semantic Web is a Web of actionable information--information derived from data through a semantic theory for interpreting the symbols.This simple idea, however, remains largely unrealized. Shopbots and auction bots abound on the Web, but these are esse...
Semantic Web technologies need to interchange ontologies for further use. Due to the heterogeneity in the knowledge representation formalisms of the different existing technologies, interoperability is a problem in the SemanticWeb and the limits of the interoperability of current technologies are yet unknown. A massive improvement of the interoperability of current SemanticWeb technologies, or of any other characteristic of these technologies, requires continuous evaluations that should be de...
Moyano, Marcelo; Buccella, Agustina; Cechich, Alejandra; Estévez, Elsa Clara
Semantic Web is an extension of the current web in which data contained in the web documents are machine-understandable. On the other hand, Web Services provide a new model of the web in which sites exchange dynamic information on demand. Combination of both introduces a new concept named Semantic Web Services in which semantic information is added to the different activities involved in Web Services, such as discovering, publication, composition, etc. In this paper, we analyze several propos...
Pollock, Jeffrey T
Semantic Web technology is already changing how we interact with data on the Web. By connecting random information on the Internet in new ways, Web 3.0, as it is sometimes called, represents an exciting online evolution. Whether you're a consumer doing research online, a business owner who wants to offer your customers the most useful Web site, or an IT manager eager to understand Semantic Web solutions, Semantic Web For Dummies is the place to start! It will help you:Know how the typical Internet user will recognize the effects of the Semantic WebExplore all the benefits the data Web offers t
Palmer, Martha; Xue, Nianwen
This book is aimed at providing an overview of several aspects of semantic role labeling. Chapter 1 begins with linguistic background on the definition of semantic roles and the controversies surrounding them. Chapter 2 describes how the theories have led to structured lexicons such as FrameNet, VerbNet and the PropBank Frame Files that in turn provide the basis for large scale semantic annotation of corpora. This data has facilitated the development of automatic semantic role labeling systems based on supervised machine learning techniques. Chapter 3 presents the general principles of applyin
Hauser, David J; Schwarz, Norbert
Some words tend to co-occur exclusively with a positive or negative context in natural language use, even though such valence patterns are not dictated by definitions or are part of the words' core meaning. These words contain semantic prosody, a subtle valenced meaning derived from co-occurrence in language. As language and thought are heavily intertwined, we hypothesized that semantic prosody can affect evaluative inferences about related ambiguous concepts. Participants inferred that an ambiguous medical outcome was more negative when it was caused, a verb with negative semantic prosody, than when it was produced, a synonymous verb with no semantic prosody (Studies 1a, 1b). Participants completed sentence fragments in a manner consistent with semantic prosody (Study 2), and semantic prosody affected various other judgments in line with evaluative inferences (estimates of an event's likelihood in Study 3). Finally, semantic prosody elicited both positive and negative evaluations of outcomes across a large set of semantically prosodic verbs (Study 4). Thus, semantic prosody can exert a strong influence on evaluative judgment. (PsycINFO Database Record PMID:27243765
The rapid advancement of semantic web technologies, along with the fact that they are at various levels of maturity, has left many practitioners confused about the current state of these technologies. Focusing on the most mature technologies, Applied Semantic Web Technologies integrates theory with case studies to illustrate the history, current state, and future direction of the semantic web. It maintains an emphasis on real-world applications and examines the technical and practical issues related to the use of semantic technologies in intelligent information management. The book starts with
苏丽俐; 王登峰; 姜吉光; 陈书明; 谭刚平
针对传统的语义细分法难以在声品质主观评价试验中获得评价对象整体感受择优排序的不足，提出了一种基于语义细分的声品质主观模糊综合评价方法，建立了适合于车内声品质主观评价的声音属性评价指标，确定了声音属性的结构及层次划分，根据不同试验确定了声音属性的关注程度各级指标权重。以在某轿车车内采集到的15个噪声样本为评价对象，分别利用该方法和成对比较法对声音的“豪华感”进行主观评价试验，并对评价得分进行排序比较。结果表明：本文提出的声品质主观模糊综合评价方法可在有效地维持评价主体原有任务量不变的情况下，准确地得到声音样本感知属性的评价等级隶属关系，以及声音样本整体主观感受评价得分的择优排序。%A new method of fuzzy comprehensive evaluation on the vehicle interior sound quality subjective evaluation was proposed based on the semantic differential to overcome the shortcoming of the traditional semantic differential method which is inefficient to rank the results of overall perception of sound samples in sound quality subjective evaluation. The sound characteristic evaluation indexes of vehicle interior sound quality subjective evaluation were established. The structure and the hierarchy of the fuzzy comprehensive evaluation were defined based on the evaluation index system of the semantic differential method. The weights of the evaluation indexes were obtained according to the importance of sound characteristics in different subjective evaluation tests. Taking 15 sound samples acquired from a passenger car as evaluation objects, and the sound ＂luxury＂ as the evaluation index, subjective evaluation comparison tests between the paired comparison method and the fuzzy comprehensive evaluation method were performed, and the evaluation results were ranked. The results showed that the proposed
This tech talk describes how to write and how to inter-derive formal semantics for sequential programming languages. The progress reported here is (1) concrete guidelines to write each formal semantics to alleviate their proof obligations, and (2) simple calculational tools to obtain a formal sem...
Cox, Simon; Alani, Harith; Glaser, Hugh; Harris, Stephen
The Semantic Web is currently best known for adding metadata to web pages to allow computers to 'understand' what they contain. This idea has been applied to people by the Friend of a Friend project which builds up a network of who people know through their descriptions placed on web pages in RDF. It is here proposed to use RDF to describe a person and to have their RDF document follow them around the Internet. The proposed technique, dubbed Semantic Cookies, will be implemented by storing a ...
Liu, Yanhong A.; Stoller, Scott D.
This paper describes a simple new semantics for logic rules, the founded semantics, and its straightforward extension to another simple new semantics, the constraint semantics. The new semantics support unrestricted negation, as well as unrestricted existential and universal quantifications. They are uniquely expressive and intuitive by allowing assumptions about the predicates and rules to be specified explicitly, are completely declarative and easy to understand, and relate cleanly to prior...
Torres, Diego; Diaz, Alicia; Skaf-Molli, Hala; Molli, Pascal
Abstract--This paper proposes a collective intelligence strategy for emerging semantic data. It presents a combination of social web practices with semantic web technologies to enrich existing web resources with semantic data. The paper introduces a social semantic tagging approach called Semdrops. Semdrops deﬁnes a conceptual model which is an extension of the Gruber's tag model where the tag concept is extended to semantic tag. Semdrops is implemented as a Firefox add-on tool that turns the...
Frey, Jeremy G.
The importance of semantics in human-computer and computer-computer communications Capturing the laboratory processes and data in a semantically rich form at source. Implementing semantics - The use of the semantic web & grid The importance of context in the use of ELNs Publication and dissemination - Using the information obtained with ELNs
Semantic Minimalism is a position about the semantic content of declarative sentences, i.e., the content that is determined entirely by syntax. It is defined by the following two points: "Point 1": The semantic content is a complete/truth-conditional proposition. "Point 2": The semantic content is useful to a theory of…
Kaplan, I L
Semantic graphs can be used to organize large amounts of information from a number of sources into one unified structure. A semantic query language provides a foundation for extracting information from the semantic graph. The graph query language described here provides a simple, powerful method for querying semantic graphs.
A coherent and integrated account of the leading UML 2 semantics work and the practical applications of UML semantics development With contributions from leading experts in the field, the book begins with an introduction to UML and goes on to offer in-depth and up-to-date coverage of: The role of semantics Considerations and rationale for a UML system model Definition of the UML system model UML descriptive semantics Axiomatic semantics of UML class diagrams The object constraint language Axiomatic semantics of state machines A coalgebraic semantic framework for reasoning about interaction des
Gabbay, Dov M
This text offers an extension to the traditional Kripke semantics for non-classical logics by adding the notion of reactivity. Reactive Kripke models change their accessibility relation as we progress in the evaluation process of formulas in the model. This feature makes the reactive Kripke semantics strictly stronger and more applicable than the traditional one. Here we investigate the properties and axiomatisations of this new and most effective semantics, and we offer a wide landscape of applications of the idea of reactivity. Applied topics include reactive automata, reactive grammars, rea
This book addresses the problem of benchmarking Semantic Web Technologies; first, from a methodological point of view, proposing a general methodology to follow in benchmarking activities over Semantic Web Technologies and, second, from a practical point of view, presenting two international benchmarking activities that involved benchmarking the interoperability of Semantic Web technologies using RDF(S) as the interchange language in one activity and OWL in the other.The book presents in detail how the different resources needed for these interoperability benchmarking activities were defined:
This book constitutes the thoroughly refereed post conference proceedings of the first edition of the Semantic Web Evaluation Challenge, SemWebEval 2014, co-located with the 11th Extended Semantic Web conference, held in Anissaras, Crete, Greece, in May 2014. This book includes the descriptions of all methods and tools that competed at SemWebEval 2014, together with a detailed description of the tasks, evaluation procedures and datasets. The contributions are grouped in three areas: semantic publishing (sempub), concept-level sentiment analysis (ssa), and linked-data enabled recommender systems (recsys).
This paper tries to treat organizational semantic web based portals. The first part of the paper focuses on concepts regarding semantic web based portals. After discussing some concepts we treat the basic functionalities that a semantic web based portal must have and we finish by presenting these functionalities by actual examples. We present semantic web based portals after studying the necessary implementations from literature and practice. We develop some examples that use semantic web bas...
Vidya S. Dandagi; Dr. Nandini Sidna
Semantic Web is a system that allows machines to understand complex human requests. Depending on the meaning semantic web replies. Semantics is the learning of the meanings of linguistic appearance. It is the main branch of contemporary linguistics. Semantics is meaning of words, text or a phrase and relations between them. RDF provides essential support to the Semantic Web. To represent distributed information RDF is created. Applications can use RDF created and process it in an adaptive man...
Hirsch, Andrew K.; Clarkson, Michael R.
Authorization logics have been used in the theory of computer security to reason about access control decisions. In this work, a formal belief semantics for authorization logics is given. The belief semantics is proved to subsume a standard Kripke semantics. The belief semantics yields a direct representation of principals' beliefs, without resorting to the technical machinery used in Kripke semantics. A proof system is given for the logic; that system is proved sound with respect to the beli...
Goodhue, P.; McNair, H.; Reitsma, F.
The degree of trust one can place in information is one of the foremost limitations of crowdsourced geospatial information. As with the development of web technologies, the increased prevalence of semantics associated with geospatial information has increased accessibility and functionality. Semantics also provides an opportunity to extend indicators of trust for crowdsourced geospatial information that have largely focused on spatio-temporal and social aspects of that information. Comparing a feature's intrinsic and extrinsic properties to associated ontologies provides a means of semantically assessing the trustworthiness of crowdsourced geospatial information. The application of this approach to unconstrained semantic submissions then allows for a detailed assessment of the trust of these features whilst maintaining the descriptive thoroughness this mode of information submission affords. The resulting trust rating then becomes an attribute of the feature, providing not only an indication as to the trustworthiness of a specific feature but is able to be aggregated across multiple features to illustrate the overall trustworthiness of a dataset.
Giunchiglia, Fausto; Yatskevich, Mikalai
We think of Match as an operator which takes two graph-like structures and produces a mapping between semantically related nodes. The matching process is essentially divided into two steps: element level and structure level. Element level matchers consider only labels of nodes, while structure level matchers start from this information to consider the full graph. In this paper we present various element level semantic matchers, and discuss their implementation within the S-Match system. The m...
Giunchiglia, Fausto; Farazi, Feroz; Tanca, Letizia; Virgilio, Roberto
The Semantic Web is basically an extension of the Web and of the Web-enabling database and Internet technology, and, as a consequence, the Semantic Web methodologies, representation mechanisms and logics strongly rely on those developed in databases. This is the motivation for many attempts to, more or less loosely, merge the two worlds like, for instance, the various proposals to use relational technology for storing web data or the use of ontologies for data integration. This article comes ...
Vergara-Niedermayr, Cristobal; Wang, Fusheng; Pan, Tony; Kurc, Tahsin; Saltz, Joel
XML is ubiquitously used as an information exchange platform for web-based applications in healthcare, life sciences, and many other domains. Proliferating XML data are now managed through latest native XML database technologies. XML data sources conforming to common XML schemas could be shared and integrated with syntactic interoperability. Semantic interoperability can be achieved through semantic annotations of data models using common data elements linked to concepts from ontologies. In t...
Semantics is the study of the meanings of words and sentences. While word is the most basic unit in every language and the understanding of the word meaning is the most important problem in translation. Therefore, the analysis of semantics just provides a very direct approach to doing translation. In this paper, I’d like to focus on the three kinds of word meaning in transla- tion, the ambiguities caused by the word meaning and how to deal with such ambiguities.
Synaesthesia has multifaceted consequences for both subjective experience and cognitive performance. Here, I broach the issue of how synaesthesia is represented in semantic memory. I hypothesize that, for example, in grapheme colour synaesthesia, colour is represented as an additional feature in the semantic network that enables the formation of associations that are not present in non-synaesthetes. Thus, synaesthesia provokes richer memory representations which enable learning opportunities ...
Hitzler, Pascal; Rudolph, Sebastian
The Quest for Semantics Building Models Calculating with Knowledge Exchanging Information Semanic Web Technologies RESOURCE DESCRIPTION LANGUAGE (RDF)Simple Ontologies in RDF and RDF SchemaIntroduction to RDF Syntax for RDF Advanced Features Simple Ontologies in RDF Schema Encoding of Special Data Structures An ExampleRDF Formal Semantics Why Semantics? Model-Theoretic Semantics for RDF(S) Syntactic Reasoning with Deduction Rules The Semantic Limits of RDF(S)WEB ONTOLOGY LANGUAGE (OWL) Ontologies in OWL OWL Syntax and Intuitive Semantics OWL Species The Forthcoming OWL 2 StandardOWL Formal Sem
Syeda Farha Shazmeen, Etyala Ramyasree
Semantic Web Mining aims at combining the two areas Semantic Web and Web Mining by using semantics to improve mining and using mining to create semantics. Web Mining aims at discovering insights about the meaning of Web resources and their usage In Semantic Web, the semantics information is presented by the relation with others and is recorded by RDF. RDF which is semantic web technology that can be utilized to build efficient and scalable systems for Cloud. The Semantic Web enriches the Worl...
Dzbor, Martin; Motta, Enrico
This paper describes ASPL, an Advanced Semantic Platform for Learning, designed using the Magpie framework with an aim to support students learning about the Semantic Web research area. We describe the evolution of ASPL and illustrate how we used the results from a formal evaluation of the initial system to re-design the user functionalities. The second version of ASPL semantically interprets the results provided by a non-semantic web mining tool and uses them to support various forms of sema...
Hughes, S.; Crichton, D.; Thieman, J.; Ramirez, P.; King, T.; Weiss, M.
The Semantic SPASE (Space Physics Archive Search and Extract) prototype demonstrates the use of semantic web technologies to capture, document, and manage the SPASE data model, support facet- and text-based search, and provide flexible and intuitive user interfaces. The SPASE data model, under development since late 2003 by a consortium of space physics domain experts, is intended to serve as the basis for interoperability between independent data systems. To develop the Semantic SPASE prototype, the data model was first analyzed to determine the inherit object classes and their attributes. These were entered into Stanford Medical Informatics' Protege ontology tool and annotated using definitions from the SPASE documentation. Further analysis of the data model resulted in the addition of class relationships. Finally attributes and relationships that support broad-scope interoperability were added from research associated with the Object-Oriented Data Technology task. To validate the ontology and produce a knowledge base, example data products were ingested. The capture of the data model as an ontology results in a more formal specification of the model. The Protege software is also a powerful management tool and supports plug-ins that produce several graphical notations as output. The stated purpose of the semantic web is to support machine understanding of web-based information. Protege provides an export capability to RDF/XML and RDFS/XML for this purpose. Several research efforts use RDF/XML knowledge bases to provide semantic search. MIT's Simile/Longwell project provides both facet- and text-based search using a suite of metadata browsers and the text-based search engine Lucene. Using the Protege generated RDF knowledge-base a semantic search application was easily built and deployed to run as a web application. Configuration files specify the object attributes and values to be designated as facets (i.e. search) constraints. Semantic web technologies provide
Gordon, Jean K
BACKGROUND: Individuals with non-fluent aphasia have difficulty producing syntactically laden words, such as function words, whereas individuals with fluent aphasia often have difficulty producing semantically specific words. It is hypothesised that such dissociations arise, at least in part, from a trade-off between syntactic and semantic sources of input to lexical retrieval. AIMS: The aims of this study were (a) to identify quantitative measures of the semantic content of narrative for people with aphasia that are reliable indicators of semantic competence, independent of overall aphasia severity; (b) to determine whether these measures distinguish between fluent and non-fluent aphasia; and (c) to assess whether individuals with fluent and non-fluent aphasia show a trade-off between measures of syntactic and semantic production. METHODS #ENTITYSTARTX00026; PROCEDURES: Connected speech samples were elicited from 16 participants with aphasia, 8 fluent and 8 non-fluent. The semantic sufficiency of the samples was analysed by measuring the proportion of correct information units (CIUs), the type-token ratios (TTRs) of content words, and the proportion of semantically specific ("heavy") to semantically general ("light") verbs produced. These measures were then correlated with syntactic measures from the QPA (Berndt, Wayland, Rochon, Saffran, & Schwartz, 2000) across and within participant groups. OUTCOMES #ENTITYSTARTX00026; RESULTS: CIUs were found to reflect primarily aphasia severity, and not to differentiate between fluent and non-fluent groups. TTRs were also strongly influenced by severity among fluent, but not non-fluent, participants. The ratio of heavy to light verbs reliably distinguished the groups, and showed different patterns of correlation with the syntactic measures. CONCLUSIONS: Results show some evidence for a trade-off between syntactic and semantic inputs to word retrieval, at least among non-fluent participants. The heavy-light verb ratio
Full Text Available In this article, semantic models of gerund in the Lithuanian language are being investigated. Their productivity and the reasons of their change in the Lithuanian language are identified. The tendency to use gerund semantic structure in noun constructions is typical not only in Greek or Latin languages but also in English, Russian, etc. Regular polysemy is regarded as semantic derivation, i. e. shifting from main meanings to derivative ones. The object of this investigation is the usage patterns of gerunds which bear both the meaning of a verb and a noun. The examples for the present study have been gathered from the language of different Lithuanian dialects as well as from the Dictionary of the Lithuanian language (different volumes, etc. The research results reveal that semantic changes of object and result are the most productive, whereas mood or time semantic model proved to be not so productive. The productivity of regular models depends on the fact that there are suffix derivatives which have the meaning of a result. The research shows that scientific style and language of different dialects are rich in the use of gerund.
The research presented in this PhD dissertation examines the phenomenon of semantic implicit learning, using semantic preferences of novel verbs as a test case. Implicit learning refers to the phenomenon of learning without intending to learn or awareness that one is learning at all. Semantic preference (or selectional preference ? as preferred in computational linguistics) is the tendency of a word to co-occur with words sharing similar semantic features. For example, ?drink? is typically fo...
Levandoski, J J; Abdulla, G M
A wide range of knowledge discovery and analysis applications, ranging from business to biological, make use of semantic graphs when modeling relationships and concepts. Most of the semantic graphs used in these applications are assumed to be static pieces of information, meaning temporal evolution of concepts and relationships are not taken into account. Guided by the need for more advanced semantic graph queries involving temporal concepts, this paper surveys the existing work involving temporal representations in semantic graphs.
J. Gracia; M. Trna; E. Lozano; T.T. Nguyen; A. Gómez-Pérez; C. Montaña; J. Liem
This document discusses the core Semantic Technologies in DynaLearn: i) The semantic repository, which supports the online storage and access of qualitative reasoning models, ii) the grounding process, which establishes semantic equivalences between the concepts in the models and the concepts in a b
This dissertation addresses semantic search of Web services using natural language processing. We first survey various existing approaches, focusing on the fact that the expensive costs of current semantic annotation frameworks result in limited use of semantic search for large scale applications. We then propose a vector space model based service…
Küppers, Bernd-Olaf; Artmann, Stefan
Complex systems in nature and society make use of information for the development of their internal organization and the control of their functional mechanisms. Alongside technical aspects of storing, transmitting and processing information, the various semantic aspects of information, such as meaning, sense, reference and function, play a decisive part in the analysis of such systems.With the aim of fostering a better understanding of semantic systems from an evolutionary and multidisciplinary perspective, this volume collects contributions by philosophers and natural scientists, linguists, i
Gutiérrez Alba, David
This document is a journey through Semantic Web principles and Microsoft SharePoint in order to come to understand some advantages and disadvantages of theirs, and how Semantic Web principles can be blended into an enterprise solution like Microsoft SharePoint. Aquest document és un viatge a través dels principis de la web semàntica i Microsoft SharePoint amb la finalitat d'arribar a entendre alguns dels seus avantatges i desavantatges, i com els principis de la web semàntica es poden barr...
A comprehensive semantics for functional programs is presented, which generalizes the well-known call-by-value and call-by-name semantics. By permitting a separate choice between call-by value and call-by-name for every argument position of every function and parameterizing the semantics by this choice we abstract from the parameter-passing mechanism. Thus common and distinguishing features of all instances of the sigma-semantics, especially call-by-value and call-by-name semantics, are highl...
Song, Dezhao; Chute, Christopher G; Tao, Cui
To facilitate clinical research, clinical data needs to be stored in a machine processable and understandable way. Manual annotating clinical data is time consuming. Automatic approaches (e.g., Natural Language Processing systems) have been adopted to convert such data into structured formats; however, the quality of such automatically extracted data may not always be satisfying. In this paper, we propose Semantator, a semi-automatic tool for document annotation with Semantic Web ontologies. With a loaded free text document and an ontology, Semantator supports the creation/deletion of ontology instances for any document fragment, linking/disconnecting instances with the properties in the ontology, and also enables automatic annotation by connecting to the NCBO annotator and cTAKES. By representing annotations in Semantic Web standards, Semantator supports reasoning based upon the underlying semantics of the owl:disjointWith and owl:equivalentClass predicates. We present discussions based on user experiences of using Semantator. PMID:22779043
With the constant development of society,residents start to pursue comfort of living with a higher quality. Cities are not only the population centers,but also the physical carriers that provide residents better livable habitation. In the case of Zhengzhou Zhengdong New District which has been developed for more than a decade, based on the analysis of urban morphology,its suitability evaluation regarding to livability of city space was studied, with methods combined city image and semantic differential,from the aspects of city space morphology and city spirit. Through cognitive reaction of residents,it is found that city space livability and city social spirit are connected closely. Therefore during the design of details of city planning,the city social spirit should be taken fully considered,providing a better method and thought for city new districts construction and improvement.%随着社会的不断发展，居民开始追求更高品质的生活舒适性，城市不仅是人口聚居地，更是为居民提供良好宜居空间的物质载体。以开发尽十余年的郑州市郑东新区为例，在分析城市形态的基础上，采用城市意象和SD法相结合的方法，从城市空间形态和城市精神两个层面，进行了郑东新区的城市空间适宜性评价。通过城市居民的认知反应，发现城市空间的宜居性是和城市社会精神紧密相连的，在进行城市细节规划设计时，应充分考虑城市社会精神，为城市新区的建设和完善提供更好的方法和思路。
Emilio José Becerra-Maya
Full Text Available Objetivo: examinar la actitud de la mujer y su pareja, sobre el uso del espejo en el periodo expulsivo del parto. Método: estudio descriptivo transversal, realizado en el Hospital Universitario Fundación Alcorcón. A partir de un estudio piloto realizado sobre una muestra de 92 sujetos, se elaboró una escala de 14 ítems basada en la técnica del diferencial semántico. Una muestra de 159 sujetos completó la escala así como el cuestionario estado-rasgo (STAI. Resultados: el porcentaje de aceptación fue del 90%. Las puntuaciones medias superan el valor neutro en todos los ítems. El 88,5% (IC 95%:78,8 a 98,1 de la mujeres que experimentaron la vivencia consideraron que el uso del espejo estimula pujar frente al 73,6% (IC 95%:62,7 a 84,4 que lo manifestaron como expectativa. Conclusiones: El uso del espejo durante el periodo expulsivo es valorado favorablemente por la mayoría de las mujeres y sus parejas.Aims: To know the attitude of the woman and her partner the use of the mirror in the second stage of labor. Methods: This descriptive cross - sectional study was carried at Hospital Universitario Fundación Alcorcón (Madrid, Spain. The data were collected using an 14 Items scale based on the semantic differential technique developed from a pilot study with 92 subjects. A sample de 159 subjects they completed the scale, as well as the State Trait Anxiety Inventory (STAI. Results: The percentage of acceptance was of 90%. The mean score in the scale overcame the neutral value in all items. The 88,5% (CI 95%:78,8 a 98,1 of women who experienced the experience thought that the use of the mirror stimulates to push versus 73,6% (CI 95%:62,7 a 84,4 before the delivery. Conclusions: The use of the mirror during the second stage of labor is valued favorably by the majority of the women and her pairs.
Renoult, Louis; Tanguay, Annick; Beaudry, Myriam; Tavakoli, Paniz; Rabipour, Sheida; Campbell, Kenneth; Moscovitch, Morris; Levine, Brian; Davidson, Patrick S R
Declarative memory is thought to consist of two independent systems: episodic and semantic. Episodic memory represents personal and contextually unique events, while semantic memory represents culturally-shared, acontextual factual knowledge. Personal semantics refers to aspects of declarative memory that appear to fall somewhere in between the extremes of episodic and semantic. Examples include autobiographical knowledge and memories of repeated personal events. These two aspects of personal semantics have been studied little and rarely compared to both semantic and episodic memory. We recorded the event-related potentials (ERPs) of 27 healthy participants while they verified the veracity of sentences probing four types of questions: general (i.e., semantic) facts, autobiographical facts, repeated events, and unique (i.e., episodic) events. Behavioral results showed equivalent reaction times in all 4 conditions. True sentences were verified faster than false sentences, except for unique events for which no significant difference was observed. Electrophysiological results showed that the N400 (which is classically associated with retrieval from semantic memory) was maximal for general facts and the LPC (which is classically associated with retrieval from episodic memory) was maximal for unique events. For both ERP components, the two personal semantic conditions (i.e., autobiographical facts and repeated events) systematically differed from semantic memory. In addition, N400 amplitudes also differentiated autobiographical facts from unique events. Autobiographical facts and repeated events did not differ significantly from each other but their corresponding scalp distributions differed from those associated with general facts. Our results suggest that the neural correlates of personal semantics can be distinguished from those of semantic and episodic memory, and may provide clues as to how unique events are transformed to semantic memory. PMID:26277459
Full Text Available Computational measures of semantic similarity between geographic terms provide valuable support across geographic information retrieval, data mining, and information integration. To date, a wide variety of approaches to geo-semantic similarity have been devised. A judgment of similarity is not intrinsically right or wrong, but obtains a certain degree of cognitive plausibility, depending on how closely it mimics human behavior. Thus selecting the most appropriate measure for a specific task is a significant challenge. To address this issue, we make an analogy between computational similarity measures and soliciting domain expert opinions, which incorporate a subjective set of beliefs, perceptions, hypotheses, and epistemic biases. Following this analogy, we define the semantic similarity ensemble (SSE as a composition of different similarity measures, acting as a panel of experts having to reach a decision on the semantic similarity of a set of geographic terms. The approach is evaluated in comparison to human judgments, and results indicate that an SSE performs better than the average of its parts. Although the best member tends to outperform the ensemble, all ensembles outperform the average performance of each ensemble's member. Hence, in contexts where the best measure is unknown, the ensemble provides a more cognitively plausible approach.
Dumais, Susan T.
Presents a literature review that covers the following topics related to Latent Semantic Analysis (LSA): (1) LSA overview; (2) applications of LSA, including information retrieval (IR), information filtering, cross-language retrieval, and other IR-related LSA applications; (3) modeling human memory, including the relationship of LSA to other…
What and how we translate are questions often argued about. No matter what kind of answers one may give, priority in translation should be granted to meaning, especially those meanings that exist in all concerned languages. In this paper the author defines them as universal sememes, and the study of them as universal semantics, of which…
Lee, Cheryl S.; Binder, Katherine S.
Purpose: The current study examined semantic and phonological processing in individuals with Williams syndrome (WS). Previous research in language processing in individuals with WS suggests a complex linguistic system characterized by "deviant" semantic organization and differential phonological processing. Method: Two experiments…
Ngo, Ba-Hung; Bac, Christian; SILBER-CHAUSSUMIER, Frédérique
Semantic file systems enhance standard file systems with the ability of file searching based on file semantics. In this paper, we propose to integrate the support for ontologies into a file system to build efficient semantic file systems whose file semantics can be shared between users, applications and semantic file systems themselves. We call it ontology-based file system. We identify three existing types of file semantics: property-based, content-based and context-based semantics and adopt...
Ronkko, Mauno; Ravn, Anders P.
We extend a conventional action system with a primitive action consisting of a differential equation and an evolution invariant. The semantics is given by a predicate transformer. The weakest liberal precondition is chosen, because it is not always desirable that steps corresponding to differential...... actions shall terminate. It is shown that the proposed differential action has a semantics which corresponds to a discrete approximation when the discrete step size goes to zero. The extension gives action systems the power to model real-time clocks and continuous evolutions within hybrid systems....
The Abilities and Differential Difficulties of Children with Autism Spectrum Disorder and Children with Specific Language Impairment to Use Semantic and Social Contexts to Infer and Recall Novel Words
Goldman, Melody R.
Two studies assessed the ability of 12 pre-school children with Autism Spectrum Disorder (ASD; N = 7) or Specific Language Impairment (SLI; N = 5) to use semantic context and eye gaze to infer the meanings of novel nouns, and to recall those meanings after a 24-hour delay. In Experiment 1, the children heard statements containing a familiar,…
Full Text Available Abstract: There is no consensus yet on the definition of semantic information. This paper contributes to the current debate by criticising and revising the Standard Definition of semantic Information (SDI as meaningful data, in favour of the Dretske-Grice approach: meaningful and well-formed data constitute semantic information only if they also qualify as contingently truthful. After a brief introduction, SDI is criticised for providing necessary but insufficient conditions for the definition of semantic information. SDI is incorrect because truth-values do not supervene on semantic information, and misinformation (that is, false semantic information is not a type of semantic information, but pseudo-information, that is not semantic information at all. This is shown by arguing that none of the reasons for interpreting misinformation as a type of semantic information is convincing, whilst there are compelling reasons to treat it as pseudo-information. As a consequence, SDI is revised to include a necessary truth-condition. The last section summarises the main results of the paper and indicates the important implications of the revised definition for the analysis of the deflationary theories of truth, the standard definition of knowledge and the classic, quantitative theory of semantic information.
We first present our work in machine translation, during which we used aligned sentences to train a neural network to embed n-grams of different languages into an $d$-dimensional space, such that n-grams that are the translation of each other are close with respect to some metric. Good n-grams to n-grams translation results were achieved, but full sentences translation is still problematic. We realized that learning semantics of sentences and documents was the key for solving a lot of natural language processing problems, and thus moved to the second part of our work: sentence compression. We introduce a flexible neural network architecture for learning embeddings of words and sentences that extract their semantics, propose an efficient implementation in the Torch framework and present embedding results comparable to the ones obtained with classical neural language models, while being more powerful.
The most widely accepted defining feature of the semantic web is machine-usable content. By this definition, the semantic web is already manifest in shopping agents that automatically access and use web content to find the lowest air fares or book prices. However, where are the semantics? Most people regard the semantic web as a vision, not a reality -- so shopping agents should not "count." To use web content, machines need to know what to do when they encounter it, which, in turn, requires ...
Heymans, Stijn; Hoffmann, Joerg; Marconi, Annapaola; Phlipps, Joshua; Weber, Ingo
The research area of Semantic Web Services investigates the annotation of services, typically in a SOA, with a precise mathematical meaning in a formal ontology. These annotations allow a higher degree of automation. The last decade has seen a wide proliferation of such approaches, proposing different ontology languages, and paradigms for employing these in practice. The next chapter gives an overview of these approaches. In the present chapter, we provide an understanding of the fundamental ...
ABSTRACT: This paper shows that several sorts of expressions cannot be interpreted metaphorically, including determiners, tenses, etc. Generally, functional categories cannot be interpreted metaphorically, while lexical categories can. This reveals a semantic property of functional categories, and it shows that metaphor can be used as a probe for investigating them. It also reveals an important linguistic constraint on metaphor. The paper argues this constraint applies to the interface betwee...
Full Text Available According to some philosophers, sentences like (1 “It is raining” and (2 “John is ready” are context sensitive sentences even if they do not contain indexicals or demonstratives. That view initiated a context sensitivity frenzy. Cappelen and Lepore (2005 summarize the frenzy by the slogan “Every sentence is context sensitive” (Insensitive Semantics, p. 6, note 5. They suggest a view they call Minimalism according to which the truth conditions of utterances of sentences like (1/(2 are exactly what Convention T gives you. I will distinguish different propositions, and refocus semantics on sentences. As distinct from what the protagonists in the ongoing debate think, I argue that the content or truth conditions of utterances of both context sensitive sentences and sentences like (1/(2 are not interesting from a semantic point of view, and that the problem sentences like (1/(2 raises is not about context sensitivity or context insensitivity of sentences, but relevance of the content of utterances.
Full Text Available The public security incidents were getting increasingly challenging with regard to their new features, including multi-scale mobility, multistage dynamic evolution, as well as spatiotemporal concurrency and uncertainty in the complex urban environment. However, the existing video models, which were used/designed for independent archive or local analysis of surveillance video, have seriously inhibited emergency response to the urgent requirements.Aiming at the explicit representation of change mechanism in video, the paper proposed a novel hierarchical geovideo semantic model using UML. This model was characterized by the hierarchical representation of both data structure and semantics based on the change-oriented three domains (feature domain, process domain and event domain instead of overall semantic description of video streaming; combining both geographical semantics and video content semantics, in support of global semantic association between multiple geovideo data. The public security incidents by video surveillance are inspected as an example to illustrate the validity of this model.
Vidya S. Dandagi
Full Text Available Semantic Web is a system that allows machines to understand complex human requests. Depending on the meaning semantic web replies. Semantics is the learning of the meanings of linguistic appearance. It is the main branch of contemporary linguistics. Semantics is meaning of words, text or a phrase and relations between them. RDF provides essential support to the Semantic Web. To represent distributed information RDF is created. Applications can use RDF created and process it in an adaptive manner. Knowledge representation is done using RDF standards and it is machine understandable. This paper describes the creation of a semantic web using RDF, and retrieval of accurate results using SparQL query language.
Velasco, Carlos; Woods, Andy T; Marks, Lawrence E; Cheok, Adrian David; Spence, Charles
Previous research shows that people systematically match tastes with shapes. Here, we assess the extent to which matched taste and shape stimuli share a common semantic space and whether semantically congruent versus incongruent taste/shape associations can influence the speed with which people respond to both shapes and taste words. In Experiment 1, semantic differentiation was used to assess the semantic space of both taste words and shapes. The results suggest a common semantic space containing two principal components (seemingly, intensity and hedonics) and two principal clusters, one including round shapes and the taste word "sweet," and the other including angular shapes and the taste words "salty," "sour," and "bitter." The former cluster appears more positively-valenced whilst less potent than the latter. In Experiment 2, two speeded classification tasks assessed whether congruent versus incongruent mappings of stimuli and responses (e.g., sweet with round versus sweet with angular) would influence the speed of participants' responding, to both shapes and taste words. The results revealed an overall effect of congruence with congruent trials yielding faster responses than their incongruent counterparts. These results are consistent with previous evidence suggesting a close relation (or crossmodal correspondence) between tastes and shape curvature that may derive from common semantic coding, perhaps along the intensity and hedonic dimensions. PMID:26966646
Ghica, Dan R.; Tzevelekos, Nikos
Game semantics is a trace-like denotational semantics for programming languages where the notion of legal observable behaviour of a term is defined combinatorially, by means of rules of a game between the term (the "Proponent") and its context (the "Opponent"). In general, the richer the computational features a language has, the less constrained the rules of the semantic game. In this paper we consider the consequences of taking this relaxation of rules to the limit, by granting the Opponent...
In his in uential article about the evolution of the Web, Berners-Lee  envisions a Semantic Web in which humans and computers alike are capable of understanding and processing information. This vision is yet to materialize. The main obstacle for the Semantic Web vision is that in today's Web meaning is rooted most often not in formal semantics, but in natural language and, in the sense of semiology, emerges not before interpretation and processing. Yet, an automated form of interpretation ...
This thesis explores the application of Semantic Web technologies to the discipline of Archaeology. Part One (Chapters 1-3) offers a discussion of historical developments in this field. It begins with a general comparison of the supposed benefits of semantic technologies and notes that they partially align with the needs of archaeologists. This is followed by a literature review which identifies two different perspectives on the Semantic Web: Mixed-Source Knowledge Representation (MSKR), whic...
J. Javier Samper; F. Javier Adell; Leo van den Berg; J. José Martinez
Semantic Web Services (SWS) propose to extend the traditional Web Services technologies on the way to consolidate ontologies and semantics. This makes it possible to select, integrate and invocate services dynamically. In this way, services are able to dynamically adapt themselves to changes without human intervention. The main purpose of this paper is to present an algorithm for matching SWS. The algorithm uses the description of the service capabilities to match the semantic values. The tra...
The aim of the present work is to identify and list English plant names coined by semantic shift, namely by metaphor, metonymy or synecdoche, and to carry out a detailed categorisation of individual semantic categories based on different tendencies within them and interpretation of the results. The theoretical part of my work focuses on different approaches to semantic shift and its categories. It is followed by the practical part which deals individually with metaphor, metonymy and synecdoch...
Spyrou, Evaggelos; Mylonas, Phivos
Broad in scope, Semantic Multimedia Analysis and Processing provides a complete reference of techniques, algorithms, and solutions for the design and the implementation of contemporary multimedia systems. Offering a balanced, global look at the latest advances in semantic indexing, retrieval, analysis, and processing of multimedia, the book features the contributions of renowned researchers from around the world. Its contents are based on four fundamental thematic pillars: 1) information and content retrieval, 2) semantic knowledge exploitation paradigms, 3) multimedia personalization, and 4)
The analysis of the semantics of programing languages was attempted with numerous modeling techniques. By providing a brief survey of these techniques together with an analysis of their applicability for answering semantic issues, this report attempts to illuminate the state-of-the-art in this area. The intent is to be illustrative rather than thorough in the coverage of semantic models. A bibliography is included for the reader who is interested in pursuing this area of research in more detail.
Mørk, Simon; Godskesen, Jens Christian; Hansen, Michael Reichhardt; Sharp, Robin
An alternative formal semantics for describing the temporal aspects for the ITU-T specification language SDL is proposed, based on the interval temporal logic Duration Calculus (DC). It is shown how DC can be used to give an SDL semantics with a precise treatment oftemporal phenomena. The semantics...... allows true concurrency. We show how it can be used to address issues such as the verification oftemporal properties, process scheduling, and the nature of viewed (shared) variables....
System semantics of explanatory dictionariesSome semantic properties of the language to be followed from the structure of lexicographical systems of big explanatory dictionaries are considered. The hyperchains and hypercycles are determined as the definite kind of automorphisms of the lexicographical system of explanatory dictionary. Some semantic consequencies following from the principles of lexicographic closure and lexicographic completeness are investigated using the hyperchains and hype...
Full Text Available System semantics of explanatory dictionariesSome semantic properties of the language to be followed from the structure of lexicographical systems of big explanatory dictionaries are considered. The hyperchains and hypercycles are determined as the definite kind of automorphisms of the lexicographical system of explanatory dictionary. Some semantic consequencies following from the principles of lexicographic closure and lexicographic completeness are investigated using the hyperchains and hypercycles formalism. The connection between the hypercyle properties of the lexicographical system semantics and Goedel’s incompleteness theorem is discussed.
Rajab Abd al-Hamed
An article about the semantic web, it begins with defining the semantic web and its importance, then talks about the ontology relations, then the role of the semantic web in digital libraries, and its features which will serve digital libraries.
Lau, Ellen F; Weber, Kirsten; Gramfort, Alexandre; Hämäläinen, Matti S; Kuperberg, Gina R
Although there is broad agreement that top-down expectations can facilitate lexical-semantic processing, the mechanisms driving these effects are still unclear. In particular, while previous electroencephalography (EEG) research has demonstrated a reduction in the N400 response to words in a supportive context, it is often challenging to dissociate facilitation due to bottom-up spreading activation from facilitation due to top-down expectations. The goal of the current study was to specifically determine the cortical areas associated with facilitation due to top-down prediction, using magnetoencephalography (MEG) recordings supplemented by EEG and functional magnetic resonance imaging (fMRI) in a semantic priming paradigm. In order to modulate expectation processes while holding context constant, we manipulated the proportion of related pairs across 2 blocks (10 and 50% related). Event-related potential results demonstrated a larger N400 reduction when a related word was predicted, and MEG source localization of activity in this time-window (350-450 ms) localized the differential responses to left anterior temporal cortex. fMRI data from the same participants support the MEG localization, showing contextual facilitation in left anterior superior temporal gyrus for the high expectation block only. Together, these results provide strong evidence that facilitatory effects of lexical-semantic prediction on the electrophysiological response 350-450 ms postonset reflect modulation of activity in left anterior temporal cortex. PMID:25316341
Along the way paved by the recent concurrent game semantics for process algebra CCS and $\\pi$-calculus, based on the basic characteristics of the actor computational model and the very reductive semantics for actors, we establish a fully abstract concurrent game semantics for actors by borrowing the algebraic structure from CCS. This semantics can both be seen as an innocent presheaf semantics, and a concurrent game semantics.
Shepherdson, Peter; Miller, Jeff
Recently, two groups of researchers have reported redundancy gains (enhanced performance with multiple, redundant targets) in tasks requiring semantic categorization. Here we report two experiments aimed at determining whether the gains found by one of these groups resulted from some form of semantic coactivation. We asked undergraduate psychology students to complete choice RT tasks requiring the semantic categorization of visually presented words, and compared performance with redundant targets from the same semantic category to performance with redundant targets from different semantic categories. If the redundancy gains resulted from the combination of information at a semantic level, they should have been greater in the former than the latter situation. However, our results showed no significant differences in redundancy gain (for latency and accuracy) between same-category and different-category conditions, despite gains appearing in both conditions. Thus, we suggest that redundancy gain in the semantic categorization task may result entirely from statistical facilitation or combination of information at non-semantic levels. PMID:26339718
Irish, Muireann; Eyre, Nadine; Dermody, Nadene; O’Callaghan, Claire; Hodges, John R.; Hornberger, Michael; Piguet, Olivier
The ability to envisage personally relevant events at a future time point represents an incredibly sophisticated cognitive endeavor and one that appears to be intimately linked to episodic memory integrity. Far less is known regarding the neurocognitive mechanisms underpinning the capacity to envisage non-personal future occurrences, known as semantic future thinking. Moreover the degree of overlap between the neural substrates supporting episodic and semantic forms of prospection remains unclear. To this end, we sought to investigate the capacity for episodic and semantic future thinking in Alzheimer’s disease (n = 15) and disease-matched behavioral-variant frontotemporal dementia (n = 15), neurodegenerative disorders characterized by significant medial temporal lobe (MTL) and frontal pathology. Participants completed an assessment of past and future thinking across personal (episodic) and non-personal (semantic) domains, as part of a larger neuropsychological battery investigating episodic and semantic processing, and their performance was contrasted with 20 age- and education-matched healthy older Controls. Participants underwent whole-brain T1-weighted structural imaging and voxel-based morphometry analysis was conducted to determine the relationship between gray matter integrity and episodic and semantic future thinking. Relative to Controls, both patient groups displayed marked future thinking impairments, extending across episodic and semantic domains. Analyses of covariance revealed that while episodic future thinking deficits could be explained solely in terms of episodic memory proficiency, semantic prospection deficits reflected the interplay between episodic and semantic processing. Distinct neural correlates emerged for each form of future simulation with differential involvement of prefrontal, lateral temporal, and medial temporal regions. Notably, the hippocampus was implicated irrespective of future thinking domain, with the suggestion of
CHU Wang; QIAN Depei
This paper combines semantic web technology with business modeling and yields semantic business model that is semantically described in terms of roles and relationships. The semantic business model can be used to discover grid services by means of automation tools. The gap between business goals and grid services is bridged by role relationships and compositions of them, so that the virtual organization evolution is supported effectively. Semantic business model can support virtual organization validation at design stage rather than at run-time stage. The designers can animate their business model and make initial assessment of what interactions should occur between roles and in which order. The users can verify whether the grid service compositions satisfy business goals.
One of the principal scientific challenges that drives my group is to understand the character of formal knowledge on the Web.By formal knowledge,I mean information that is represented on the Web in something other than natural language text—typically,as machine-readable Web data with a formal syntax and a specific,intended semantics.The Web provides a major counterpoint to our traditional artificial intelligence (AI) based accounts of formal knowledge.Most symbolic AI systems are designed to address sophisticated logical inference over coherent conceptual knowledge,and thus the underlying research is focused on characterizing formal properties such as entailment relations,time/space complexity of inference,monotonicity,and expressiveness.In contrast,the Semantic Web allows us to explore formal knowledge in a very different context,where data representations exist in a constantly changing,large-scale,highly distributed network of looselyconnected publishers and consumers,and are governed by a Web-derived set of social practices for discovery,trust,reliability,and use.We are particularly interested in understanding how large-scale Semantic Web data behaves over longer time periods:the way by which its producers and consumers shift their requirements over time;how uniform resource identifiers (URIs) are used to dynamically link knowledge together;and the overall lifecycle of Web data from publication,to use,integration with other knowledge,evolution,and eventual deprecation.We believe that understanding formal knowledge in this Web context is the key to bringing existing AI insights and knowledge bases to the level of scale and utility of the current hypertext Web.
Is meaningful communication possible between two intelligent parties who share no common language or background? In this work, a theoretical framework is proposed in which it is possible to address when and to what extent such semantic communication is possible: such problems can be rigorously addressed by explicitly focusing on the goals of the communication. Under this framework, it is possible to show that for many goals, communication without any common language or background is possible using universal protocols. This work should be accessible to anyone with an undergraduate-level knowled
Félix Oscar Fernández Peña
Full Text Available Knowledge management systems support education at different levels of the education. This is very important for the process in which the higher education of Cuba is involved. Structural transformations of teaching are focused on supporting the foundation of the information society in the country. This paper describes technical aspects of the designing of a model for the integration of multiple knowledgemanagement tools supporting teaching. The proposal is based on the definition of an ontology for the explicit formal description of the semantic of motivations of students and teachers in the learning process. Its target is to facilitate knowledge spreading.
Cruz, Isabel; Decker, Stefan; Euzenat, Jérôme; McGuinness, Deborah
The World Wide Web has been the main source of an important shift in the way people get information and order services. However, the current Web is aimed at people only. The Semantic Web is a Web defined and linked in a way that it can be used by machines not just for display purposes, but also for automation, integration and reuse of data across various applications. Facilities and technologies to put machine understandable data on the Web are rapidly becoming a high priority for many commun...
Gómez-Pérez, A.; Ramos, JA
Mappings usually relate two similar knowledge aware resources. Mapping examples abound in thesauri, databases, and ontologies. Additionally, mapping systems can relate two different knowledge resources, such as databases and ontologies. All these mappings are operationally different and are sometimes named differently— for example, correspondences, semantic bridges, transformations, semantic relations, functions, conversions, and domain-method relations
Miles-Board, Timothy; Kampa, Simon; Carr, Les; Hall, Wendy
The Semantic Web extends the current state of the Web with well-defined meaning. We advocate the use of ontological hypertext as an application of the Semantic Web to provide a principled and structured approach to navigating the resources on the Web. This paper demonstrates how we have applied this concept to two real-world scenarios.
McCarthy, R A; Warrington, E K
It is now established that selective disorders of semantic memory may arise after focal cerebral lesions. Debate and dissension remain on three principal issues: category specificity, the status of modality-dependent knowledge, and the stability and sufficiency of stored information. Theories of category specificity have focused on the frequently reported dissociation between living things and man-made objects. However, other dimensions need theoretical integration. Impairments can be both finer-grain and broader in range. A second variable of importance is stimulus modality. Reciprocal interactive dissociations between vision and language and between animals and objects will be described. These indicate that the derivation of semantic information is constrained by input modality: we appear to have evolved separable databases for the visual and the verbal world. Thirdly, an orthogonal distinction has been drawn between degradation disorders, where representations are insufficient for comprehension, and access deficits, in which representations have become unstable. These issues may have their parallel in the acquisition of knowledge by the developing child. PMID:7886158
Jefferies, Elizabeth; Rogers, Timothy T.; Hopper, Samantha; Lambon Ralph, Matthew A.
Patients with semantic dementia show a specific pattern of impairment on both verbal and non-verbal "pre-semantic" tasks, e.g., reading aloud, past tense generation, spelling to dictation, lexical decision, object decision, colour decision and delayed picture copying. All seven tasks are characterised by poorer performance for items that are…
Boyle, Sean; Roche, Bryan; Dymond, Simon; Hermans, Dirk
Directly conditioned fear and avoidance readily generalises to dissimilar but conceptually related stimuli. Here, for the first time, we examined the conceptual/semantic generalisation of both fear and avoidance using real words (synonyms). Participants were first exposed to a differential fear conditioning procedure in which one word (e.g., "broth"; CS+) was followed with brief electric shock [unconditioned stimulus (US)] and another was not (e.g., "assist"; CS-). Next, an instrumental conditioning phase taught avoidance in the presence the CS+ but not the CS-. During generalisation testing, synonyms of the CS+ (e.g., "soup"; GCS+) and CS- (e.g., "help"; GCS-) were presented in the absence of shock. Conditioned fear and avoidance, measured via skin conductance responses, behavioural avoidance and US expectancy ratings, generalised to the semantically related, but not to the semantically unrelated, synonyms. Findings have implications for how natural language categories and concepts mediate the expansion of fear and avoidance repertoires in clinical contexts. PMID:25648156
Lee, Yugyung; Geller, James
The Unified Medical Language System (UMLS) contains two separate but interconnected knowledge structures, the Semantic Network (upper level) and the Metathesaurus (lower level). In this paper, we have attempted to work out better how the use of such a two-level structure in the medical field has led to notable advances in terminologies and ontologies. However, most ontologies and terminologies do not have such a two-level structure. Therefore, we present a method, called semantic enrichment, which generates a two-level ontology from a given one-level terminology and an auxiliary two-level ontology. During semantic enrichment, concepts of the one-level terminology are assigned to semantic types, which are the building blocks of the upper level of the auxiliary two-level ontology. The result of this process is the desired new two-level ontology. We discuss semantic enrichment of two example terminologies and how we approach the implementation of semantic enrichment in the medical domain. This implementation performs a major part of the semantic enrichment process with the medical terminologies, with difficult cases left to a human expert. PMID:16185937
Generalova Larisa Mikhaylovna
Full Text Available The article focuses on references of semantic and syntactic patterns to cognitive comprehension of an extralinguistic event by means of semantic predicate of property. The choice of this object for research may be explained by an ambiguity of its interpretation in scientific writings due to its semantic variations in the context. The main reason of controversy in the predicate properties definitions is uncertainty in the choice of its numerous differential attributes that may be used to classify the semantic predicate, which results in the lack of general classification. The author puts forward a proposition that the semantic predicate as a conceptual category should be abstracted at most from the level of ontology and be classified with a minimal set of distinctive features. It is proved that any situation presented by a relational predicate can be reconsidered as a predicate of property, if one could introduce some deictic markers into a sentence structure thus indicating to a non-localized character of an event in the time axis and evaluative elements. It is determined that German native speakers widely use the "sein + adjective (noun" pattern to conceptualize the original event through the predicate of property. The specificity of these structures in use is viewed as depending on differences between some conceptualized situations, their reference to certain spheres of reality and ontological specificity of reflected events. It is proved that the use of a certain marker for the original denotation situation comprehension depends on its relation to a particular ontological sphere of life.
Syeda Farha Shazmeen
Full Text Available Semantic Web Mining aims at combining the two areas Semantic Web and Web Mining by using semantics to improve mining and using mining to create semantics. Web Mining aims at discovering insights about the meaning of Web resources and their usage In Semantic Web, the semantics information is presented by the relation with others and is recorded by RDF. RDF which is semantic web technology that can be utilized to build efficient and scalable systems for Cloud. The Semantic Web enriches the World Wide Web by machine process able information which supports the user in his tasks, and also helps the users to get the exact search result .In this paper; we discuss the interplay of the Semantic Web with Web Mining, list out the benefits. Challenges, opportunities of the Semantic web are discussed.
Anusree.ramachandran; R Sujatha
The semantic search engines have some advantages on the web search engines from the users view. In this fast life everybody need the answer for their queries very fast .In this scenario semantic searching engines will be helpful. It deals with the actual meaning of the queries. The tremendous growth in the volume of data or the information lead the traditional search engines to get the answers syntactically correct but large in amount. That might be the reason to get into the semantic search ...
This article addresses the question of providing an adequate mathematical formulation for the concepts of autopoiesis and closure under efficient cause. What is required is metaphorically equivalent to reducing the act of writing to a set of mathematical equations, habitually effected by a human mathematician, within the ongoing function of the system itself. This, in turn, raises the question of the relationship between autopoiesis and semantics. The hypothesis suggested is that whereas semantics clearly requires autopoiesis, it may be also be the case that autopoiesis itself can only be materially realized in a system that is characterized by a semantic dimension. PMID:10818567
Wolfe, Shawn R.; Keller, RIchard M.
Due to the recency and relatively limited adoption of Semantic Web technologies. practical issues related to technology scaling have received less attention than foundational issues. Nonetheless, these issues must be addressed if the Semantic Web is to realize its full potential. In particular, we concentrate on the lack of scoping methods that reduce the size of semantic information spaces so they are more efficient to work with and more relevant to an agent's needs. We provide some intuition to motivate the need for such reduced information spaces, called workspaces, give a formal definition, and suggest possible methods of deriving them.
Nielson, Flemming; Nielson, Hanne Riis
In principle termination analysis is easy: find a well-founded ordering and prove that calls decrease with respect to the ordering. We show how to embed termination information into a polymorphic type system for an eager higher-order functional language allowing multiple-argument functions and...... algebraic data types. The well-founded orderings are defined by pattern matching against the definition of the algebraic data types. We prove that the analysis is semantically sound with respect to a big-step (or natural) operational semantics. We compare our approach based on operational semantics to one...
Madlener, Ken; van Eekelen, Marko; 10.4204/EPTCS.62.2
One of the proposed solutions for improving the scalability of semantics of programming languages is Component-Based Semantics, introduced by Peter D. Mosses. It is expected that this framework can also be used effectively for modular meta theoretic reasoning. This paper presents a formalization of Component-Based Semantics in the theorem prover Coq. It is based on Modular SOS, a variant of SOS, and makes essential use of dependent types, while profiting from type classes. This formalization constitutes a contribution towards modular meta theoretic formalizations in theorem provers. As a small example, a modular proof of determinism of a mini-language is developed.
A comprehensive and extensive review of state-of-the-art in semantics acquisition game (SAG) design A set of design patterns for SAG designers A set of case studies (real SAG projects) demonstrating the use of SAG design patterns
This book introduces a novel approach for intelligent visualizations that adapts the different visual variables and data processing to human’s behavior and given tasks. Thereby a number of new algorithms and methods are introduced to satisfy the human need of information and knowledge and enable a usable and attractive way of information acquisition. Each method and algorithm is illustrated in a replicable way to enable the reproduction of the entire “SemaVis” system or parts of it. The introduced evaluation is scientifically well-designed and performed with more than enough participants to validate the benefits of the methods. Beside the introduced new approaches and algorithms, readers may find a sophisticated literature review in Information Visualization and Visual Analytics, Semantics and information extraction, and intelligent and adaptive systems. This book is based on an awarded and distinguished doctoral thesis in computer science.
Lenau, Torben Anker; Boelskifte, Per
The selection of materials and planning for production play a key role for the design of physical products. Product function, appearance and expression are influenced by the chosen materials and how they are shaped. However these properties are not carried by the material itself, but by the...... processes. This working paper argues for the need for a commonly accepted terminology used to communicate semantic product properties. Designers and others involved in design processes are dependent of a sharp and clear verbal communication. Search facilities in computer programs for product and material...... specific way that the materials are used in the product. Selection of materials is therefore often done by looking at similar products. The product as well as its constitutive materials possesses a number of technical properties like strength, stiffness and hardness. Furthermore the product possesses a...
Dias, Gael; Moraliyski, Rumen; Cordeiro, Joao; Doucet, Antoine; Ahonen-Myka, Helena
In this paper, we propose an unsupervised methodology to automatically discover pairs of semantically related words by highlighting their local environment and evaluating their semantic similarity in local and global semantic spaces. This proposal di®ers from previous research as it tries to take the best of two different methodologies i.e. semantic space models and information extraction models. It can be applied to extract close semantic relations, it limits the search space and...
In this thesis, we explore the challenge of search relevance in the context of semantic search. Specifically, the notion of semantic relevance can be distinguished from the other types of relevance in Information Retrieval (IR) in terms of employing an underlying semantic model. We propose the emerging Semantic Web data on the Web which is represented in RDF graph structures as an important candidate to become such a semantic model in a search process.
Yu Guo; Jie Liu
Semantic web is an extension of the current World Wide Web. This paper proposes a new model of constructing semantic website, and takes the construction of semantic website in the field of tourism in Africa as an example, and describes an approach to build the semantic website. It is a common approach and can be applied to the construction of other semantic websites. First, analyze user’s requirements, and then build domain ontology based on them requirements, design interactive interfa...
Semantics, contrastive linguistics and parallel corporaIn view of the ambiguity of the term “semantics”, the author shows the differences between the traditional lexical semantics and the contemporary semantics in the light of various semantic schools. She examines semantics differently in connection with contrastive studies where the description must necessary go from the meaning towards the linguistic form, whereas in traditional contrastive studies the description proceeded from the form t...
About Certain Semantic Annotation in Parallel CorporaThe semantic notation analyzed in this works is contained in the second stream of semantic theories presented here – in the direct approach semantics. We used this stream in our work on the Bulgarian-Polish Contrastive Grammar. Our semantic notation distinguishes quantificational meanings of names and predicates, and indicates aspectual and temporal meanings of verbs. It relies on logical scope-based quantification and on the contemporary t...
ZHANG Hui; SONG Hantao; XU Xiaomei
A semantic session analysis method partitioning Web usage logs is presented. Semantic Web usage log preparation model enhances usage logs with semantic. The Markov chain model based on ontology semantic measurement is used to identifying which active session a request should belong to. The competitive method is applied to determine the end of the sessions.Compared with other algorithms, more successful sessions are additionally detected by semantic outlier analysis.
Lo, Moussa; Gandon, Fabien
We present our experiment in integrating semantic web services in the existing corporate semantic web server architecture we use to implement corporate memories. We rely on a semantic web search engine, to provide a semantic registry and automatically discover and invoke corporate applications wrapped into semantically annotated web services. Using rules we also demonstrate how to compose the web services with queries on the knowledge stored in the corporate memory to automatically populate t...
The Unified Medical Language System® (UMLS®) , an extensive source of biomedical knowledge developed and maintained by the US National Library of Medicine (NLM) is being currently used in a wide variety of biomedical applications. The Semantic Network, a component of the UMLS is a structured description of core biomedical knowledge consisting of well defined semantic types and relationships between them. We investigate the expressiveness of DAML+OIL, a markup language proposed for ontologies ...
Corbineau, P.H.J.M.; Geuvers, J.H.; Kaliszyk, C.S.; McKinna, J.H.; Wiedijk, F.
Mathematical documents, and their instrumentation by computers, have rich structure at the layers of presentation, metadata and semantics, as objects in a system for formal mathematical logic. Semantic Web tools  support the first two of these, with little, if any, contribution to the third, while Proof Assistants  instrument the third layer, typically with bespoke approaches to the first two. Our position is that a web of mathematical documents, definitions and proofs should be given ...
Rose, Kristoffer Høgsbro
Presents Graph Operational Semantics (GOS): a semantic specification formalism based on structural operational semantics and term graph rewriting. Demonstrates the method by specifying the dynamic ...
SHAN Baoci; ZHANG Wutian; MA Lin; LI Dejun; CAO Bingli; TANG Yiyuan; WU Yigen; TANG Xiaowei
This study has identified the active cerebral areas of normal Chinese that are associated with Chinese semantic processing using functional brain imaging. According to the traditional cognitive theory, semantic processing is not particularly associated with or affected by input modality. The functional brain imaging experiments were conducted to identify the common active areas of two modalities when subjects perform Chinese semantic tasks through reading and listening respectively. The result has shown that the common active areas include left inferior frontal gyrus (BA 44/45), left posterior inferior temporal gyrus (BA37); the joint area of inferior parietal lobules (BA40) and superior temporal gyrus, the ventral occipital areas and cerebella of both hemispheres. It gives important clue to further discerning the roles of different cerebral areas in Chinese semantic processing.
Frank, A I
The paper presents a constraint based semantic formalism for HPSG. The advantages of the formlism are shown with respect to a grammar for a fragment of German that deals with (i) quantifier scope ambiguities triggered by scrambling and/or movement and (ii) ambiguities that arise from the collective/distributive distinction of plural NPs. The syntax-semantics interface directly implements syntactic conditions on quantifier scoping and distributivity. The construction of semantic representations is guided by general principles governing the interaction between syntax and semantics. Each of these principles acts as a constraint to narrow down the set of possible interpretations of a sentence. Meanings of ambiguous sentences are represented by single partial representations (so-called U(nderspecified) D(iscourse) R(epresentation) S(tructure)s) to which further constraints can be added monotonically to gain more information about the content of a sentence. There is no need to build up a large number of alternative...
U.S. Department of Health & Human Services — The SKR Project was initiated at NLM in order to develop programs to provide usable semantic representation of biomedical free text by building on resources...
The principal idea behind this book is that lexis and grammar make up a single coherent structure. It is shown that the grammatical patterns of the different classes of Russian nominals are closely interconnected. They can be described as reflecting a limited set of semantic distinctions which are...... also rooted in the lexical-semantic classification of Russian nouns. The presentation focuses on semantics, both lexical and grammatical, and not least the connection between these two levels of content. The principal theoretical impact is the insight that grammar and lexis should not be seen as a...... random collection of subsystems, but as a comprehensive structure of interconnected oppositions, repeating the same semantic distinctions at different levels and in different lexical and grammatical classes. The book is of interest to students of Russian and linguists with some command, stronger or...
J. Javier Samper
Full Text Available Semantic Web Services (SWS propose to extend the traditional Web Services technologies on the way to consolidate ontologies and semantics. This makes it possible to select, integrate and invocate services dynamically. In this way, services are able to dynamically adapt themselves to changes without human intervention. The main purpose of this paper is to present an algorithm for matching SWS. The algorithm uses the description of the service capabilities to match the semantic values. The traditional matching has been improved using ontologies which constitute a step further in the matching algorithms. To implement the algorithm, an agent FIPA compliant architecture has been designed and developed. The results obtained are positive. The semantic web services framework developed in combination with the use of the matchmaking algorithm, which allows finding services based on their similarities.
Limpens, Freddy; Gandon, Fabien; Buffa, Michel
The advent of tagging and folksonomies for organizing shared resources on the social Web brought promising opportunities to help communities of users capture their knowledge. However, the lack of semantics, or the spelling variations between tags lowers the potentials for browsing and exploring these data. To overcome these limitations, we propose exploiting the interactions between the users and the systems to validate or correct semantic analysis automatically applied to the tags. This proc...
Angeletou, Sofia; Sabou, Marta; Motta, Enrico
While the increasing popularity of folksonomies has lead to a vast quantity of tagged data, resource retrieval in these systems is limited by them being agnostic to the meaning (i.e., semantics) of tags. Our goal is to automatically enrich folksonomy tags (and implicitly the related resources) with formal semantics by associating them to relevant concepts defined in online ontologies. We introduce FLOR, a mechanism for automatic folksonomy enrichment by combining knowledge from WordNet and on...
Melo, Dora; Rodrigues, Irene Pimenta; Nogueira, Vitor
In this paper we propose a Cooperative Question Answering System that takes as input queries expressed in natural language and is able to return a cooperative answer obtained from resources in the Semantic Web, more specifically DBpedia represented in OWL/RDF as knowledge base and WordNet to build similar questions. Our system resorts to ontologies not only for reasoning but also to find answers and is independent of prior knowledge of the semantic resources by the user. The natural language ...
The tasks of semantic web service (discovery, selection, composition, and execution) are supposed to enable seamless interoperation between systems, whereby human intervention is kept at a minimum. In the field of Web service description research, the exploitation of descriptions of services through semantics is a better support for the life-cycle of Web services. The large number of developed ontologies, languages of representations, and integrated frameworks supporting the discovery, compos...
García-Castro, Raúl; Gómez-Pérez, A.
The Semantic Web technology needs to be thoroughly evaluated for providing objective results and obtaining massive improvement in its quality; thus, the transfer of this technology from research to industry will speed up. This chapter presents software benchmarking, a process that aims to improve the Semantic Web technology and to find the best practices. The chapter also describes a specific software benchmarking methodology and shows how this methodology has been used to benchmark the inter...
Chow, J.; Aimola Davies, AM; Fuentes, LJ; Plunkett, KR
Attention-switching is a crucial ability required in our everyday life, from toddlerhood to adulthood. In adults, shifting attention from one word (e.g., dog) to another (e.g., sea) results in backward semantic inhibition, i.e., the inhibition of the initial word (dog). This study examines whether attention-switching is accompanied by backward semantic inhibition in toddlers using the preferential looking paradigm. The findings demonstrate that a backward inhibitory mechanism operates during ...
I explore some of the issues that arise when trying to establish a connection between the underspecification hypothesis pursued in the NLP literature and work on ambiguity in semantics and in the psychological literature. A theory of underspecification is developed `from the first principles', i.e., starting from a definition of what it means for a sentence to be semantically ambiguous and from what we know about the way humans deal with ambiguity. An underspecified language is specified as t...
Image understanding is widely used in many areas like satellite imaging, robotic technologies, sensory networks, medical and biomedical imaging, intelligent transportation systems, etc. But it is difficult by traditional image processing. Recently semantic analysis has become an active research topic aimed at resolving the gap between low level image features and high level semantics which is a promoting approach in image understanding. This talk highlights the sophisticated methodologies of ...
We provide an overview of several ongoing NASA endeavors based on concepts, systems, and technology from the Semantic Web arena. Indeed NASA has been one of the early adopters of Semantic Web Technology and we describe ongoing and completed R&D efforts for several applications ranging from collaborative systems to airspace information management to enterprise search to scientific information gathering and discovery systems at NASA.
Giunchiglia, Fausto; Farazi, Feroz; Tanca, Letizia; De Virgilio, Roberto
The SemanticWeb is basically an extension of the Web and of the Webenabling database and Internet technology, and, as a consequence, the Semantic Web methodologies, representation mechanisms and logics strongly rely on those developed in databases. This is the motivation for many attempts to, more or less loosely, merge the two worlds like, for instance, the various proposals to use relational technology for storing web data or the use of ontologies for data integration. This article comes se...
Folmer, E.J.A.; Oude Luttighuis, P.H.W.M.; Hillegersberg, van, R.
Quality of semantic standards is unadressed in current research while there is an explicit need from standard developers. The business importance is evident since quality of standards will have impact on its diffusion and achieved interoperability in practice. An instrument to measure the quality of semantic standards is designed to contribute to the knowledge domain, standards developers and might ultimo lead to improved interoperability. This instrument is iteratively designed with multiple...
Ghica, Dan R
Game semantics is a trace-like denotational semantics for programming languages where the notion of legal observable behaviour of a term is defined combinatorially, by means of rules of a game between the term (the "Proponent") and its context (the "Opponent"). In general, the richer the computational features a language has, the less constrained the rules of the semantic game. In this paper we consider the consequences of taking this relaxation of rules to the limit, by granting the Opponent omnipotence, that is, permission to play any move without combinatorial restrictions. However, we impose an epistemic restriction by not granting Opponent omniscience, so that Proponent can have undisclosed secret moves. We introduce a basic C-like programming language and we define such a semantic model for it. We argue that the resulting semantics is an appealingly simple combination of operational and game semantics and we show how certain traces explain system-level attacks, i.e. plausible attacks that are realizable...
Petersen, Michael Kai; Hansen, Lars Kai
leg, hand and face related but also emotional action verbs activate premotor systems in the brain. Hypothesizing that the force and spatial parameters which define action based language might also be reflected in the latent semantics of words, we select motor and emotion related verbs and apply latent...... semantic analysis, multidimensional scaling, hierarchical clustering and network graph analysis to quantify their interaction and identify parameters of force and spatial differentiation which we propose cognitively relate emotions to sensorimotor action schemas....
Kallioinen, Petter; Olofsson, Jonas; Nakeva von Mentzer, Cecilia; Lindgren, Magnus; Ors, Marianne; Sahlén, Birgitta S; Lyxell, Björn; Engström, Elisabet; Uhlén, Inger
Difficulties in auditory and phonological processing affect semantic processing in speech comprehension for deaf and hard-of-hearing (DHH) children. However, little is known about brain responses related to semantic processing in this group. We investigated event-related potentials (ERPs) in DHH children with cochlear implants (CIs) and/or hearing aids (HAs), and in normally hearing controls (NH). We used a semantic priming task with spoken word primes followed by picture targets. In both DHH children and controls, cortical response differences between matching and mismatching targets revealed a typical N400 effect associated with semantic processing. Children with CI had the largest mismatch response despite poor semantic abilities overall; Children with CI also had the largest ERP differentiation between mismatch types, with small effects in within-category mismatch trials (target from same category as prime) and large effects in between-category mismatch trials (where target is from a different category than prime), compared to matching trials. Children with NH and HA had similar responses to both mismatch types. While the large and differentiated ERP responses in the CI group were unexpected and should be interpreted with caution, the results could reflect less precision in semantic processing among children with CI, or a stronger reliance on predictive processing. PMID:27559320
Kallioinen, Petter; Olofsson, Jonas; Nakeva von Mentzer, Cecilia; Lindgren, Magnus; Ors, Marianne; Sahlén, Birgitta S.; Lyxell, Björn; Engström, Elisabet; Uhlén, Inger
Difficulties in auditory and phonological processing affect semantic processing in speech comprehension for deaf and hard-of-hearing (DHH) children. However, little is known about brain responses related to semantic processing in this group. We investigated event-related potentials (ERPs) in DHH children with cochlear implants (CIs) and/or hearing aids (HAs), and in normally hearing controls (NH). We used a semantic priming task with spoken word primes followed by picture targets. In both DHH children and controls, cortical response differences between matching and mismatching targets revealed a typical N400 effect associated with semantic processing. Children with CI had the largest mismatch response despite poor semantic abilities overall; Children with CI also had the largest ERP differentiation between mismatch types, with small effects in within-category mismatch trials (target from same category as prime) and large effects in between-category mismatch trials (where target is from a different category than prime), compared to matching trials. Children with NH and HA had similar responses to both mismatch types. While the large and differentiated ERP responses in the CI group were unexpected and should be interpreted with caution, the results could reflect less precision in semantic processing among children with CI, or a stronger reliance on predictive processing. PMID:27559320
The book is composed of two main parts. The first part is a general study of Semantic Web Search. The second part specifically focuses on the use of semantics throughout the search process, compiling a big picture of Process-oriented Semantic Web Search from different pieces of work that target specific aspects of the process.In particular, this book provides a rigorous account of the concepts and technologies proposed for searching resources and semantic data on the Semantic Web. To collate the various approaches and to better understand what the notion of Semantic Web Search entails, this bo
Cengarle, Maria Victoria; Grönninger, Hans; Rumpe, Bernhard
Defining semantics for UML is a difficult task. Disagreements in the meaning of UML constructs as well as the size of UML are major obstacles. In this report, we describe our approach to define the semantics for UML. Semantics is defined denotationally as a mapping into our semantics domain called the system model [4, 5, 6]. We demonstrate our approach by defining the semantics for a comprehensive version of class diagrams. The semantics definition is detailed for UML/P class diagrams, a vari...
empirical evidence from the Evolution of Semantic Systems (EoSS) project. This combination of empirical and interpretative tools helps to integrate evidence from semantics and semiotics, pinning out in great detail the intricacies of the meanings of particular body words. The paper concludes that body words...... in closely related languages can differ substantially in their semantics. In related languages, where shared lexical form does not always mean shared semantics, ethnolinguistic studies in semantic change and shifts in polysemy patterns can help to reveal and explain the roots of semantic diversity....
Bin Xu; Po Zhang; Juan-Zi Li; Wen-Jun Yang
This paper is concerned with the matchmaker for ranking web services by using semantics. So far several methods of semantic matchmaker have been proposed. Most of them, however, focus on classifying the services into predefined categories rather than providing a ranking result. In this paper, a new method of semantic matchmaker is proposed for ranking web services. It is proposed to use the semantic distance for estimating the matching degree between a service and a user request. Four types of semantic distances are defined and four algorithms are implemented respectively to calculate them. Experimental results show that the proposed semantic matchmaker significantly outperforms the keywordbased baseline method.
Service Composition for the Semantic Web presents an in-depth analysis of aspects related to semantic-enabled Web service modeling and composition. It also covers challenges and solutions to composing Web services on the semantic Web, and proposing a semantic framework for organizing and describing Web services. Service Composition for the Semantic Web describes composability and matching models to check whether semantic Web services can be combined together to avoid unexpected failures at run time, and a set of algorithms that automatically generate detailed descriptions of composite services
Full Text Available Semantic contrastive linguistics theory and dialectological studiesTheoretical contrastive studies (hereinafter referred to as TCS emerged with a view to compare and contrast natural languages on the basis of a logical interlanguage. The idea of making the TCS guidelines available to science resulted in discontinuing the division into the original language and the target language when comparing and contrasting two (or more languages, and at the same time, terminating the dependence of the resulting material (i.e. form indexes in the target language on the formal structures in the original language. The TCS essence is included in the interlanguage, which is used as tertium comparationis in the studies. To get more on this topic see Koseska, Korytkowska, R. Roszko (2007. Till now, TCS have not been applied in dialectal studies. There are a lot of reasons for this conjuncture. First of all, dialectal studies usually concentrate on one code (i.e. only a single local dialect is being specified, whilst in TCS, a comparison and contrast between (at least two languages is provided. Moreover, research on the dialectal differentiation of a specific language (i.e. at least two dialects (/ local dialects are being specified together is based on demonstrating the features shared and differentiated on the level of (a lexis, (b morphology (most often narrowed to demonstrate differential morphological features and (c syntactic (relatively most rarely. Thus, dialectal studies are essentially a description of the formal conjuncture, whereas semantic aspects are out of the area of researchers interest. With this article, I am going to break the current patterns and prove that dialectal studies can be conducted in accordance with the TCS guidelines. The advantage of such dialectal studies is not only a different/new look at a specific local dialect, but also a possibility of an instant comparison and contrast between the local dialect and the standardized language
Hobona, G.; Bermudez, L. E.; Brackin, R.; Percivall, G. S.
Scientists from different organizations and disciplines need to work together to find the solutions to complex problems. Multi-disciplinary science typically involves users with specialized tools and their own preferred view of the data including unique characteristics of the user's information model and symbology. Even though organizations use web services to expose data, there are still semantic inconsistencies that need to be solved. Recent activities within the OGC Interoperability Program (IP) have helped advance semantic mediation solutions when using OGC services to help solve complex problems. The OGC standards development process is influenced by the feedback of activities within the Interoperability Program, which conducts international interoperability initiatives such as Testbeds, Pilot Projects, Interoperability Experiments, and Interoperability Support Services. These activities are designed to encourage rapid development, testing, validation, demonstration and adoption of open, consensus based standards and best practices. Two recent Testbeds, the OGC Web Services Phase 8 and Phase 9, have advanced the use of semantic mediation approaches to increase semantic interoperability among geospatial communities. The Cross-Community Interoperability (CCI) thread within these two testbeds, advanced semantic mediation approaches for data discovery, access and use of heterogeneous data models and heterogeneous metadata models. This presentation will provide an overview of the interoperability program, the CCI Thread and will explain the methodology to mediate heterogeneous GML Application Profiles served via WFS, including discovery of services via a catalog standard interface and mediating symbology applicable to each application profile.
Wang, Haofen; Penin, Thomas; Fu, Linyun; Liu, Qiaoling; Xue, Guirong; Yu, Yong
Wikipedia, a killer application in Web 2.0, has embraced the power of collaborative editing to harness collective intelligence. It features many attractive characteristics, like entity-based link graph, abundant categorization and semi-structured layout, and can serve as an ideal data source to extract high quality and well-structured data. In this chapter, we first propose several solutions to extract knowledge from Wikipedia. We do not only consider information from the relational summaries of articles (infoboxes) but also semi-automatically extract it from the article text using the structured content available. Due to differences with information extraction from the Web, it is necessary to tackle new problems, like the lack of redundancy in Wikipedia that is dealt with by extending traditional machine learning algorithms to work with few labeled data. Furthermore, we also exploit the widespread categories as a complementary way to discover additional knowledge. Benefiting from both structured and textural information, we additionally provide a suggestion service for Wikipedia authoring. With the aim to facilitate semantic reuse, our proposal provides users with facilities such as link, categories and infobox content suggestions. The proposed enhancements can be applied to attract more contributors and lighten the burden of professional editors. Finally, we developed an enhanced search system, which can ease the process of exploiting Wikipedia. To provide a user-friendly interface, it extends the faceted search interface with relation navigation and let the user easily express his complex information needs in an interactive way. In order to achieve efficient query answering, it extends scalable IR engines to index and search both the textual and structured information with an integrated ranking support.
Lua, K T
We report our development of a simple but fast and efficient inductive unsupervised semantic tagger for Chinese words. A POS hand-tagged corpus of 348,000 words is used. The corpus is being tagged in two steps. First, possible semantic tags are selected from a semantic dictionary(Tong Yi Ci Ci Lin), the POS and the conditional probability of semantic from POS, i.e., P(S|P). The final semantic tag is then assigned by considering the semantic tags before and after the current word and the semantic-word conditional probability P(S|W) derived from the first step. Semantic bigram probabilities P(S|S) are used in the second step. Final manual checking shows that this simple but efficient algorithm has a hit rate of 91%. The tagger tags 142 words per second, using a 120 MHz Pentium running FOXPRO. It runs about 2.3 times faster than a Viterbi tagger.
Rodriguez, Marko A
Semantic network research has seen a resurgence from its early history in the cognitive sciences with the inception of the Semantic Web initiative. The Semantic Web effort has brought forth an array of technologies that support the encoding, storage, and querying of the semantic network data structure at the world stage. Currently, the popular conception of the Semantic Web is that of a data modeling medium where real and conceptual entities are related in semantically meaningful ways. However, new models have emerged that explicitly encode procedural information within the semantic network substrate. With these new technologies, the Semantic Web has evolved from a data modeling medium to a computational medium. This article provides a classification of existing computational modeling efforts and the requirements of supporting technologies that will aid in the further growth of this burgeoning domain.
Full Text Available This paper describes an algorithm for semantic decomposition. For that we surveys languages used to enrich contextual information with semantic descriptions. Such descriptions can be e.g. applied to enable reasoning when collecting vast amounts of information. In particular, we focus on the elements of the languages that make up their semantic. To do so, we compare the expressiveness of the well-known languages OWL, PDDL and MOF with a theory from linguistic called the Natural Semantic Metalanguage. We then analyze how the semantic of the language is build up and describe how semantic decomposition based on the semantic primes can be used for a so called mental lexicon. This mental lexicon can be used to reason upon semantic service description in the research domain of service match making.
This text looks at the construction of the Semantic Web, which will enable computers to automatically and independently consume Web-based information. With numerous programming examples, it is ideal for undergraduates and graduates in mathematics, computer science and logic and researchers interested in Multi-Agent Systems and the Semantic Web. - ;This highly topical text considers the construction of the next generation of the Web, called the Semantic Web. This will enable computers to automatically consume Web-based information, overcoming the human-centric focus of the Web as it stands at present, and expediting the construction of a whole new class of knowledge-based applications that will intelligently utilise Web content. The text is structured into three main sections on knowledge representation techniques, reasoning with multi-agent systems, and knowledge services. For each of these topics, the text provides an overview of the state-of-the-art techniques and the popular standards that have been define...
McKenzie, Craig; Preece, Alun; Gray, Peter
In this paper, we propose a Blackboard Architecture as a means for coordinating hybrid reasoning over the Semantic Web. We describe the components of traditional blackboard systems (Knowledge Sources, Blackboard, Controller) and then explain how we have enhanced these by incorporating some of the principles of the Semantic Web to pro- duce our Semantic Web Blackboard. Much of the framework is already in place to facilitate our research: the communication protocol (HTTP); the data representation medium (RDF); a rich expressive description language (OWL); and a method of writing rules (SWRL). We further enhance this by adding our own constraint based formalism (CIF/SWRL) into the mix. We provide an example walk-though of our test-bed system, the AKTive Workgroup Builder and Blackboard(AWB+B), illustrating the interaction and cooperation of the Knowledge Sources and providing some context as to how the solution is achieved. We conclude with the strengths and weaknesses of the architecture.
Historical linguistics is traditionally concerned with phonology and syntax. With the exception of grammaticalization - the development of auxiliary verbs, the syntactic rather than localistic use of prepositions, etc. - semantic change has usually not been described as a result of regular deve...... developments, but only as specific meaning changes in individual words. This paper will suggest some regularities in semantic change, regularities which, like sound laws, have predictive power and can be tested against recorded languages....... Historical linguistics is traditionally concerned with phonology and syntax. With the exception of grammaticalization - the development of auxiliary verbs, the syntactic rather than localistic use of prepositions, etc. - semantic change has usually not been described as a result of regular...
Mahmoud A. AbouGhaly
Full Text Available An operational semantics for lazy evaluation of a calculus without higher order functions was defined. Although it optimizes many aspects of implementation, e.g. there is a sharing in the recursive computation, there is no α conversion, the heap is automatically reclaimed, and an attempt to evaluate an argument is done at most once. It is still suitable for reasoning about program behavior and proofs of program correctness; this is primarily due to the definition via inferences and axioms which allows for proofs by induction on the height of the proof tree. We also proved the correctness of this operational semantics by showing that it is equivalent with respect to the values calculated to the operational semantics of LAZY-PCF+SHAR due to S. Purushothaman Iyer and Jill Seaman.
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Abstract: The task of providing dictionaries for all the world's languages is prodigious, re-quiring efficient techniques. The text corpus method cannot be used for minority languages lacking texts. To meet the need, the author has constructed a list of 1 600 semantic domains, which he has successfully used to collect words. In a workshop setting, a group of speakers can collect as many as 17 000 words in ten days. This method results in a classified word list that can be efficiently expanded into a full dictionary. The method works because the mental lexicon is a giant web or-ganized around key concepts. A semantic domain can be defined as an important concept together with the words directly related to it by lexical relations. A person can utilize the mental web to quickly jump from word to word within a domain. The author is developing a template for each domain to aid in collecting words and in de-scribing their semantics. Investigating semantics within the context of a domain yields many in-sights. The method permits the production of both alphabetically and semantically organized dic-tionaries. The list of domains is intended to be universal in scope and applicability. Perhaps due to universals of human experience and universals of linguistic competence, there are striking simi-larities in various lists of semantic domains developed for languages around the world. Using a standardized list of domains to classify multiple dictionaries opens up possibilities for cross-lin-guistic research into semantic and lexical universals.
Keywords: SEMANTIC DOMAINS, SEMANTIC FIELDS, SEMANTIC CATEGORIES, LEX-ICAL RELATIONS, SEMANTIC PRIMITIVES, DOMAIN TEMPLATES, MENTAL LEXICON, SEMANTIC UNIVERSALS, MINORITY LANGUAGES, LEXICOGRAPHY
Opsomming: Samestelling van woordeboeke deur gebruikmaking van se-mantiese domeine. Die taak van die voorsiening van woordeboeke aan al die tale van die wêreld is geweldig en vereis doeltreffende tegnieke. Die
Aceto, Luca; 10.4204/EPTCS.32
Structural operational semantics (SOS) is a technique for defining operational semantics for programming and specification languages. Because of its intuitive appeal and flexibility, SOS has found considerable application in the study of the semantics of concurrent processes. It is also a viable alternative to denotational semantics in the static analysis of programs and in proving compiler correctness. Recently it has been applied in emerging areas such as probabilistic systems and systems biology.
Giunchiglia, Fausto; Kharkevich, Uladzimir; Zaihrayeu, Ilya
In this paper we present a novel approach, called Concept Search, which extends syntactic search, i.e., search based on the computation of string similarity between words, with semantic search, i.e., search based on the computation of semantic relations between concepts. The key idea of Concept Search is to operate on complex concepts and to maximally exploit the semantic information available, reducing to syntactic search only when necessary, i.e., when no semantic information is available. ...
Verhodubs, O; Grundspeņķis, J
The paper presents a conception of the Semantic Web Expert System which is the logical continuation of the expert system development. The Semantic Web Expert System emerges as the result of evolution of expert system concept and it means expert system moving toward the Web and using new Semantic Web technologies. The proposed conception of the Semantic Web Expert System promises to have new useful features that distinguish it from other types of expert systems
Gómez Pérez, Asunción; Euzenat, Jérôme
This book constitutes the refereed proceedings of the Second European Semantic Web Conference, ESWC 2005, heldin Heraklion, Crete, Greece in May/June 2005. The 48 revised full papers presented were carefully reviewed and selected from 148 submissions. The papers are organized in topical sections on semantic Web services, languages, ontologies, reasoning and querying, search and information retrieval, user and communities, natural language for the semantic Web, annotation tools, and semantic W...
Adjiman, Philippe; Goasdoué, François; Rousset, Marie-Christine
The Semantic Web envisions a world-wide distributed architecture where computational resources will easily inter-operate to coordinate complex tasks such as query answering. Semantic marking up of web resources using ontologies is expected to provide the necessary glue for making this vision work. Using ontology languages, (communities of) users will build their own ontologies in order to describe their own data. Adding semantic mappings between those ontologies, in order to semantically rela...
Semantic Web Mining is the outcome of two new and fast developing domains: Semantic Web and Data Mining. The Semantic Web is an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in cooperation. Data Mining is the nontrivial process of identifying valid, previously unknown, potentially useful patterns in data. Semantic Web Mining refers to the application of data mining techniques to extract knowledge from World Wide W...
In this study, we evaluate the performance of five semantic search engines that are available on the web, using 45 criteria, in the form of a researcher-made checklist. Criteria provided in the checklist included both common and semantic features. Common criteria or features are those applicable to all search engines and semantic ones are those only applicable to semantic search engines. Findings show that the selected search engines do not have suitable performance and expected efficiency. D...
Fränzle, Martin; Stengel, Bernhard von; Wittmüss, Arne
For programs represented semantically as relations, a concept of semantic independence is defined that is more general than previously stated notions. It allows for shared input variables and irrelevant interference due to nondeterminism.......For programs represented semantically as relations, a concept of semantic independence is defined that is more general than previously stated notions. It allows for shared input variables and irrelevant interference due to nondeterminism....
Karan Singh*, Anil kumar, Arun Kumar Yadav
The combination of the two fast evolving scientific research areas “Semantic Web” and “Web Mining” are well-known as “Semantic Web Mining” in computer science. These two areas cover way for the mining of related and meaningful information from the web, by this means giving growth to the term “Semantic Web Mining”. The “Semantic Web” makes mining easy and “Web Mining” can construct new structure of Web. Web Mining applies ...
Harvey, Denise Y; Schnur, Tatiana T
comprehension. These neuroanatomical-behavioral findings have implications for models of the lexical-semantic language network by demonstrating that semantic interference in language production and comprehension involves different representations which differentially recruit a cognitive control mechanism for interference resolution. PMID:25880795
Boer, M.H.T. de; Daniele, L.M.; Brandt, P.; Sappelli, M.
Abstract—With the growth of open sensor networks, multiple applications in different domains make use of a large amount of sensor data, resulting in an emerging need to search semantically over heterogeneous datasets. In semantic search, an important challenge consists of bridging the semantic gap b
Stollberg, Michael; Moran, Matthew; Cabral, Liliana; NORTON, Barry; Domingue, John
We have given around 20 tutorials on Semantic Web Services in international events during the last two years. This position paper presents our experiences and depicts central aspects relevant for education, dissemination and exploitation of Semantic Web and Semantic Web service technologies in academia and industry.
In this research paper we are briefly presenting current major web problems and introducing semantic web technologies with the claim of solving existing web's problems. Furthermore we are describing Ontology as the main building block of semantic web and focusing on its contributions to semantic web progress and current limitations.
Rajab Abd al-Hamed
Full Text Available An article about the semantic web, it begins with defining the semantic web and its importance, then talks about the ontology relations, then the role of the semantic web in digital libraries, and its features which will serve digital libraries.
Full Text Available Humans are able to easily judge if a pair of concepts are related in some way. Understanding of how humans are able to perform this task is not easy. Semantic similarity denotes computing the similarity between concepts, having the same meaning or related information, which are not necessarily lexically similar. Semantic similarity between concepts plays an important role in Semantic Web, knowledge sharing, Web mining, semantic sense understanding and text summarization. This also is an important problem in Natural Language Processing and Information Retrieval Researches. These techniques are becoming important components of most of the Information Retrieval (IR, Information Extraction (IE and other intelligent knowledge based systems. Therefore it has received considerable attention in the literature. Ontology has a good hierarchical structure of concepts. In the ontology, semantic information can be realized through the semantic relationship of concepts. Ontology-based semantic similarity techniques can estimate the semantic similarity between two hierarchically expressed concepts in a given ontology or taxonomy. Semantic similarity is usually computed by mapping concepts to ontology and by examining their relationships in it. The most popular semantic similarity methods are implemented and evaluated using WordNet and MeSH. Several algorithmic approaches for computing semantic similarity have been proposed. This paper discusses the various approaches used for identifying semantically similar concepts in ontology.
Dordrecht: Springer, 2006 - (van Benthem, J.; Heinzmann, G.; Rebuschi, M.; Visser, H.), s. 25-36. (Logic, Epistemology , and the Unity of Science. 3). ISBN 1-4020-5011-9. [Philosophical Insights into Logic and Mathematics: The History and Outcome of Alternative Semantics and Syntax. Nancy (FR), 30.09.2002-04.10.2002] R&D Projects: GA AV ČR(CZ) IAA0009001 Institutional research plan: CEZ:AV0Z90090514 Keywords : formal semantics * inferentialism * logical calculi Subject RIV: AA - Philosophy ; Religion
Dědek, J.; Vojtáš, Peter
Berlin: Springer, 2008 - (Badica, C.; Mangioni, G.; Carchiolo, V.; Burdescu, D.), s. 85-94. (Studies in Computational Intelligence. 162). ISBN 978-3-540-85256-8. [IDC 2008. International Symposium on Intelligent and Distributed Computing /2./. Catania (IT), 18.09.2008-19.09.2008] R&D Projects: GA AV ČR 1ET100300517; GA AV ČR 1ET100300419 Institutional research plan: CEZ:AV0Z10300504 Keywords : semantic information extraction * linguistics * semantic computing * aggregation Subject RIV: IN - Informatics, Computer Science
Full Text Available There is represented the general classification of semantic transfers. As the research has shown, transfers can be systematized based on four parameters: 1 the type of associations lying on their basis: similarity, contiguity and contrast, the associations by similarity and contrast being regarded as the basis for taxonomic transfers (from genus to species, from species to genus, from species to species, etc.; 2 the functional parameter: functionally relevant and irrelevant; 3 the sphere of action: transfer applies both to lexical and grammatical semantics; 4 the degree of ex-pressiveness: thus, the metonymic associations are more predictable than the metaphoric ones.
Presupposition is. a very important linguistic concept that originates from philosophy. It is often considered as a kind of pragmatic inference. In linguistics it can be classified as semantic presupposition and Pragmatic presupposition. This article will deals with semantic presupposition. Besides the most important characteristics constancy under negation, presupposition boasts some other characteristics, namely unidirectionality, subjectiveness and latency, which exactly fulfill the demands of advertising. Because presupposition, used in advertising, can not possible risk caused by ostentation or direct assertion. On this account, presupposition is adopted into advertising as a pragmatic strategy.
Ma, Yinglong; Shi, Moyi
Semantic search technology has received more attention in the last years. Compared with the keyword based search, semantic search is used to excavate the latent semantics information and help users find the information items that they want indeed. In this paper, we present a novel approach for semantic search which combines Multi-Categorization Semantic Analysis with personalization technology. The MCSA approach can classify documents into multiple categories, which is distinct from the exist...
吴锐; 韩雪; 赵守盈
学习态度能直接影响其对学习的行为选择,所以对学习态度的测量意义重大.国内学习态度量表对学习态度的因素定义不一,而且一般量表的题量较大,初中生很难认真完成;学生在学习态度上难免为了更好的评价和迫于老师家长的压力,而选择与自己情况不符合的选项.研究采用语义区分量表编制学习态度量表,量表题量较小,同时采用自然联想的方法进行答题选择,很大程度上避免了社会期望效应,使收集到的学生学习态度的数据更加真实可靠.%Learning attitude is the student's attitude to learning,it can directly affect the students' behavior to learning,so the learning attitude measurement is very valuable.The factors of learning attitude of domestic learning attitude scale have different definitions,and most scales have too many items,junior middle school students are difficult to accomplish.Because of the pressure from teachers and parents,student will select the answer which is not conformity with the options.This research adopts the semantic differences scaling to build a learning attitude scale.The scale includes only a few items and social expectation effect can be avoided because students respond the scale according to free association which makes the collected data more reliable.
Sabou, Marta; Fernandez, Miriam; Motta, Enrico
We investigate the problem of evaluating the correctness of a semantic relation and propose two methods which explore the increasing number of online ontologies as a source of evidence for predicting correctness. We obtain encouraging results, with some of our measures reaching average precision values of 75%.
Constanta Nicoleta BODEA
Full Text Available The paper presents the testing and evaluation facilities of the SinPers system. The SinPers is a web based learning environment in project management, capable of building and conducting a complete and personalized training cycle, from the definition of the learning objectives to the assessment of the learning results for each learner. The testing and evaluation facilities of SinPers system are based on the ontological approach. The educational ontology is mapped on a semantic network. Further, the semantic network is projected into a concept space graph. The semantic computability of the concept space graph is used to design the tests. The paper focuses on the applicability of the system in the certification, for the knowledge assessment, related to each element of competence. The semantic computability is used for differentiating between different certification levels.
Troncy, Raphael; Schenk, Simon
In this book, the authors present the latest research results in the multimedia and semantic web communities, bridging the "Semantic Gap" This book explains, collects and reports on the latest research results that aim at narrowing the so-called multimedia "Semantic Gap": the large disparity between descriptions of multimedia content that can be computed automatically, and the richness and subjectivity of semantics in user queries and human interpretations of audiovisual media. Addressing the grand challenge posed by the "Semantic Gap" requires a multi-disciplinary approach (computer science,
Silva-Filho, Waldomiro J; Dazzani, Maria Virgínia
In this article, we explore a fundamental issue of Cultural Psychology, that is our "capacity to make meaning", by investigating a thesis from contemporary philosophical semantics, namely, that there is a decisive relationship between language and rationality. Many philosophers think that for a person to be described as a rational agent he must understand the semantic content and meaning of the words he uses to express his intentional mental states, e.g., his beliefs and thoughts. Our argument seeks to investigate the thesis developed by Tyler Burge, according to which our mastery or understanding of the semantic content of the terms which form our beliefs and thoughts is an "incomplete understanding". To do this, we discuss, on the one hand, the general lines of anti-individualism or semantic externalism and, on the other, criticisms of the Burgean notion of incomplete understanding - one radical and the other moderate. We defend our understanding that the content of our beliefs must be described in the light of the limits and natural contingencies of our cognitive capacities and the normative nature of our rationality. At heart, anti-individualism leads us to think about the fact that we are social creatures, living in contingent situations, with important, but limited, cognitive capacities, and that we receive the main, and most important, portion of our knowledge simply from what others tell us. Finally, we conclude that this discussion may contribute to the current debate about the notion of borders. PMID:26111737
Dordrecht: Springer, 2006 - (van Benthem, J.; Heinzmann, G.; Rebuschi, M.; Visser, H.), s. 25-36. (Logic, Epistemology , and the Unity of Science. 3). ISBN 1-4020-5011-9 R&D Projects: GA AV ČR(CZ) IAA0009001 Institutional research plan: CEZ:AV0Z90090514 Keywords : formal semantics * inferentialism * logical calculi Subject RIV: AA - Philosophy ; Religion
Folmer, E.J.A.; Oude Luttighuis, P.H.W.M.; Hillegersberg, J. van
Quality of semantic standards is unadressed in current research while there is an explicit need from standard developers. The business importance is evident since quality of standards will have impact on its diffusion and achieved interoperability in practice. An instrument to measure the quality of
Lindemann, Oliver; Stenneken, Prisca; van Schie, Hein T.; Bekkering, Harold
Four experiments investigated activation of semantic information in action preparation. Participants either prepared to grasp and use an object (e.g., to drink from a cup) or to lift a finger in association with the object's position following a go/no-go lexical-decision task. Word stimuli were cons
Hohenstein, Sven; Kliegl, Reinhold
Word features in parafoveal vision influence eye movements during reading. The question of whether readers extract semantic information from parafoveal words was studied in 3 experiments by using a gaze-contingent display change technique. Subjects read German sentences containing 1 of several preview words that were replaced by a target word…
Jensen, Lars Baunegaard With; Baseski, Emre; Pugeault, Nicolas;
In this paper, we propose a hierarchical architecture for representing scenes, covering 2D and 3D aspects of visual scenes as well as the semantic relations between the different aspects. We argue that labeled graphs are a suitable representational framework for this representation and demonstrat...
Falbo, R.A.; Guizzardi, G; Natali, A.; Bertollo, G.; Ruy, F.; Mian, P; Tortora, G; Chang, S.-K.
Software tools processing partially common set of data should share an understanding of what these data mean. Since ontologies have been used to express formally a shared understanding of information, we argue that they are a way towards Semantic SEEs. In this paper we discuss an ontology-based approach to tool integration and present ODE, an ontology-based SEE.
The semantic web or Web 3.0 makes information more meaningful to people by making it more understandable to machines. In this article, the author examines the implications of Web 3.0 for education. The author considers three areas of impact: knowledge construction, personal learning network maintenance, and personal educational administration.…
We prove a general strong normalization theorem for higher type rewrite systems based on Tait's strong computability predicates and a strictly continuous domain-theoretic semantics. The theorem applies to extensions of Goedel's system $T$, but also to various forms of bar recursion for which termination was hitherto unknown.
Linn, Michael D.
The linguistic atlas projects have provided much information on the regional distribution of pronunciation, vocabulary, and syntax and have given important evidence for a greater understanding of problems involved in semantic change, particularly in pointing out transition areas where dialects become fused. In a study supplementary to that…
Contextual synonym is a linguistic phenomenon often applied but rarely discussed. This paper is to discuss the semantic relationships between contextual synonyms and the requirements under which words can be used as contextual synonyms between each other. The three basic relationships are embedment, intersection and non-coherence. The requirements…
Full Text Available This paper puts forward a two layers computing method to calculate semantic similarity of Chinese word. Firstly, using Latent Dirichlet Allocation (LDA subject model to generate subject spatial domain. Then mapping word into topic space and forming topic distribution which is used to calculate semantic similarity of word(the first layer computing. Finally, using semantic dictionary "HowNet" to deeply excavate semantic similarity of word (the second layer computing. This method not only overcomes the problem that it’s not specific enough merely using LDA to calculate semantic similarity of word, but also solves the problems such as new words (haven’t been added in dictionary and without considering specific context when calculating semantic similarity based on semantic dictionary "HowNet". By experimental comparison, this thesis proves feasibility,availability and advantages of the calculation method.
LIU Ya-Jun; ZHAO Yun
To solve the problem of the inadequacy of semantic processing in the intelligent question answering system, an integrated semantic similarity model which calculates the semantic similarity using the geometric distance and information content is presented in this paper.With the help of interrelationship between concepts, the information content of concepts and the strength of the edges in the ontology network, we can calculate the semantic similarity between two concepts and provide information for the further calculation of the semantic similarity between user's question and answers in knowlegdge base.The results of the experiments on the prototype have shown that the semantic problem in natural language processing can also be solved with the help of the knowledge and the abundant semantic information in ontology.More than 90% accuracy with less than 50 ms average searching time in the intelligent question answering prototype system based on ontology has been reached.The result is very satisfied.
Liang, Percy; Klein, Dan
Suppose we want to build a system that answers a natural language question by representing its semantics as a logical form and computing the answer given a structured database of facts. The core part of such a system is the semantic parser that maps questions to logical forms. Semantic parsers are typically trained from examples of questions annotated with their target logical forms, but this type of annotation is expensive. Our goal is to learn a semantic parser from question-answer pairs instead, where the logical form is modeled as a latent variable. Motivated by this challenging learning problem, we develop a new semantic formalism, dependency-based compositional semantics (DCS), which has favorable linguistic, statistical, and computational properties. We define a log-linear distribution over DCS logical forms and estimate the parameters using a simple procedure that alternates between beam search and numerical optimization. On two standard semantic parsing benchmarks, our system outperforms all existing...
Butakova Larisa Olegovna
Full Text Available The main attention is paid to the introspective and experimental solution of the problem of official business text perception and understanding based on psycholinguistic approach to speech activity and its result. This result is a mental representation which is included in the semantic field of the recipient. It was necessary to emphasize the relationship and interdependence of generation perception, understanding processes, speech activity of all subjects. Urgency of the problem is determined by the increasing complexity of perception and understanding of official business texts. The official business text is generated as the product of standardized speech. Its perception and understanding activate cognitive mechanisms aimed at the identification of standardized semantic areas of official business fragment of mental space of a native speaker. Different psycholinguistic procedures proved the discrepancy of the cognitive space (the result of introspective analysis, actualized by the athor using standard language resources in case of its generation, the discrepancy of the subjective semantic space (the result of "semantic differential" in case of its perception, the discrepancy of the semantic text projection (the result of constructing a "counter-text". The experimental models showed the emotive side of the text, the choice of foundations for understanding the experience and knowledge acquired by the recipients in the identic professional situation. The experimental data has shown the positive / negative attitude of recipients to the rational organization and some components of texts. It was attributed to the unequal size of text blocks, the significance of information to recipients, the inhomogeneity of the structure and content parts, personal rejection of texts by recipients.
Ullmann, Thomas Daniel; Uren, Victoria; Nikolov, Andriy
SemSearchXplorer is a toolkit for the exploration of semantic data. The goal is to lower user barriers to access information in semantic data repositories. Therefore SemSearchXplorer supports the user in three respects: (1) it supports querying of the semantic data with a keyword based approach, so the users do not need to learn a semantic query language, (2) it helps users find relevant results both by using semantic enriched information about the results and semantic filter options to narro...
Jacyno, M.; Payne, T. R.; Watkins, E R; Taylor, S. J.; Surridge, M.
As the technical infrastructure to support Grid environments matures, attention should focus on providing dynamic access to services, whilst ensuring such access is appropriately monitored and secured. Access policies may be dynamic, whereby intra-organisational workflows define local knowledge that could be used to establish appropriate credentials necessary to access the desired service. We describe a typical Grid-based scenario that requires local semantic workflows that establish the appr...
Gracia, Jorge; Lopez, Vanessa; D'Aquin, Mathieu; Sabou, Marta; Motta, Enrico; Mena, Eduardo
A new paradigm in Semantic Web research focuses on the development of a new generation of knowledge-based problem solvers, which can exploit the massive amounts of formally specified information available on the Web, to produce novel intelligent functionalities. An important example of this paradigm can be found in the area of Ontology Matching, where new algorithms, which derive mappings from an exploration of multiple and heterogeneous online ontologies, have been proposed. While these algo...
Schmalz, Mark S.
We live in such perceptually rich natural and manmade environments that detection and recognition of objects is mediated cerebrally by attentional filtering, in order to separate objects of interest from background clutter. In computer models of the human visual system, attentional filtering is often restricted to early processing, where areas of interest (AOIs) are delineated around anomalies of interest, then the pixels within each AOI's subtense are isolated for later processing. In contrast, the human visual system concurrently detects many targets at multiple levels (e.g., retinal center-surround filters, ganglion layer feature detectors, post-retinal spatial filtering, and cortical detection / filtering of features and objects, to name but a few processes). Intracranial attentional filtering appears to play multiple roles, including clutter filtration at all levels of processing - thus, we process individual retinal cell responses, early filtering response, and so forth, on up to the filtering of objects at high levels of semantic complexity. Computationally, image compression techniques have progressed from emphasizing pixels, to considering regions of pixels as foci of computational interest. In more recent research, object-based compression has been investigated with varying rate-distortion performance and computational efficiency. Codecs have been developed for a wide variety of applications, although the majority of compression and decompression transforms continue to concentrate on region- and pixel-based processing, in part because of computational convenience. It is interesting to note that a growing body of research has emphasized the detection and representation of small features in relationship to their surrounding environment, which has occasionally been called semantic compression. In this paper, we overview different types of semantic compression approaches, with particular interest in high-level compression algorithms. Various algorithms and
Full Text Available Semantics, contrastive linguistics and parallel corporaIn view of the ambiguity of the term “semantics”, the author shows the differences between the traditional lexical semantics and the contemporary semantics in the light of various semantic schools. She examines semantics differently in connection with contrastive studies where the description must necessary go from the meaning towards the linguistic form, whereas in traditional contrastive studies the description proceeded from the form towards the meaning. This requirement regarding theoretical contrastive studies necessitates construction of a semantic interlanguage, rather than only singling out universal semantic categories expressed with various language means. Such studies can be strongly supported by parallel corpora. However, in order to make them useful for linguists in manual and computer translations, as well as in the development of dictionaries, including online ones, we need not only formal, often automatic, annotation of texts, but also semantic annotation - which is unfortunately manual. In the article we focus on semantic annotation concerning time, aspect and quantification of names and predicates in the whole semantic structure of the sentence on the example of the “Polish-Bulgarian-Russian parallel corpus”.
Schweimeier, Ralf; Schroeder, Michael
This paper defines an argumentation semantics for extended logic programming and shows its equivalence to the well-founded semantics with explicit negation. We set up a general framework in which we extensively compare this semantics to other argumentation semantics, including those of Dung, and Prakken and Sartor. We present a general dialectical proof theory for these argumentation semantics.
Shojanoori, Reza; Juric, Radmila
We propose an automated and personalized remote patient monitoring (RPM) system, which is applied to care homes and is dependent on the manipulation of semantics describing situations during patient monitoring in ontological models. Decision making in RPM is based on reasoning performed upon ontologies, which secures the delivery of appropriate e-health services in care homes. Our working experiment shows an example of preventive e-healthcare, but it can be extended to any situation that requires either urgent action from healthcare professionals or a simple recommendation during RPM. We use Semantic Web technology and OWL/SWRL-enabled ontologies to illustrate the proposal and feasibility of implementing this RPM system as a software solution in pervasive healthcare. It will be of interest to healthcare professionals, who can directly shape and populate the proposed ontological model, and software engineers, who would consider using OWL/SWRL when creating e-health services in general. PMID:23363406
Patel, Dhiren R
Web blog is used as a collaborative platform to publish and share information. The information accumulated in the blog intrinsically contains the knowledge. The knowledge shared by the community of people has intangible value proposition. The blog is viewed as a multimedia information resource available on the Internet. In a blog, information in the form of text, image, audio and video builds up exponentially. The multimedia information contained in an Atom blog does not have the capability, which is required by the software processes so that Atom blog content can be accessed, processed and reused over the Internet. This shortcoming is addressed by exploring OWL knowledge modeling, semantic annotation and semantic categorization techniques in an Atom blog sphere. By adopting these techniques, futuristic Atom blogs can be created and deployed over the Internet.
This survey gives an overview over different techniques used for pixel-level semantic segmentation. Metrics and datasets for the evaluation of segmentation algorithms and traditional approaches for segmentation such as unsupervised methods, Decision Forests and SVMs are described and pointers to the relevant papers are given. Recently published approaches with convolutional neural networks are mentioned and typical problematic situations for segmentation algorithms are examined. A taxonomy of...
Mirna Willer; Gordon Dunsire; Boris Bosancic
The possibilities of integration between ISBD and the semantic web have been examined through the work of the IFLA Study Groups, created with the task to investigate the possibilities for representing ISBD in web technologies and services. One of the main study groups is represented by the ISBD/XML Study Group, formed in 2008.The paper describes the activities developing a representation of International Standard Bibliographic Description (ISBD) in Resource Description Framework (RDF): the re...
Becerra, Victor Manuel; Brown, Matthew; Nasuto, Slawomir
The storage and processing capacity realised by computing has lead to an explosion of data retention. We now reach the point of information overload and must begin to use computers to process more complex information. In particular, the proposition of the Semantic Web has given structure to this problem, but has yet realised practically. The largest of its problems is that of ontology construction; without a suitable automatic method most will have to be encoded by hand. In this paper we disc...
Moreno, Lourdes; Martínez, Paloma; Contreras, Jesús; Benjamins, Richard
The importance for Web applications to reach all kind of potential users and customers is being stressed by companies and public sectors. The standardization initiative for Web applications, WAI and the Universal Design framework establish useful rules for building accessible applications for any kind of disabled and non-disabled users. The proliferation of Semantic Web technologies and formal ontologies offer a technological opportunity for establishing automatic and advanced methods for ...
Qurban A. Memon; Shakeel Khoja
Typically, administrative systems involving information in an academic environment are disjoint, spread across various departments and support independent queries. The objectives in this work include investigation on integrating these independent systems to provide support to intelligent queries run on the integrated platform. A framework is proposed that enriches data in the legacy systems to provide a value-added semantic layer where annotation, query and reasoning can be carried out to sup...
The purpose of the following thesis is to present the key concepts of Social and Semantic Web, to examine the possibilities of their integration and to develop and implement on the basis of good practice a concrete example of an application that combines the advantages of both areas. The thematic area of social web, its basic forms and examples of popular web applications are presented more thoroughly. These applications offer a range of technologies for content syndication, networking, mu...
Bell, D; de Cesare, S; Lycett, M
Web services have become the predominant paradigm for the development of distributed software systems. Web services provide the means to modularize software in a way that functionality can be described, discovered and deployed in a platform independent manner over a network (e.g., intranets, extranets and the Internet). The representation of web services by current industrial practice is predominantly syntactic in nature lacking the fundamental semantic underpinnings required to fulfill the g...
Alani, Harith; Hall, Wendy; O'Hara, Kieron; Shadbolt, Nigel; Chandler, Peter; Szomszor, Martin
One of the great benefits that Semantic Web (SW) technology offers is facilitating large scale integration and sharing of distributed data sources. Transferring this technology from the lab environment and into the real world requires careful planning to make sure the technology continues to offer a cost effective and practical service. This paper describes our approach for promoting SW technology to industrial and government organisations. We describe two SW applications, one involving sever...
Valverde, Juan José; Buil-Aranda, C.; Gómez-Pérez, José Manuel
The 2006 Gartner emerging technology curve highlights the relevance of the Corporate Semantic Web as one of the most promising IT areas in the next five years. The work presented herein describes WEASEL, an initiative funded by Vodafone to apply and evaluate such technology in the context of a large multinational company. This scenario comprises a number of heterogeneous web sites containing unstructured and related, but physically decoupled, information which needs common models that provide...
Vallés, María Clara; Fillottrani, Pablo Rubén
The Semantic Web attempts to reach a state in the future where everything on the Web will no longer be only machine-readable, but also machine-understandable. An ontology is an explicit specification of a conceptualization. A conceptualization is an abstract, simplified view of the world that we wish to represent for some purpose. Every knowledge base, knowledge-based system, or knowledge-level agent is committed to some conceptualization, explicitly or implicitly. By defining shared and comm...
Jarmasz, Mario; Szpakowicz, Stan
We have implemented a system that measures semantic similarity using a computerized 1987 Roget's Thesaurus, and evaluated it by performing a few typical tests. We compare the results of these tests with those produced by WordNet-based similarity measures. One of the benchmarks is Miller and Charles' list of 30 noun pairs to which human judges had assigned similarity measures. We correlate these measures with those computed by several NLP systems. The 30 pairs can be traced back to Rubenstein ...
D D Dhobale; B.S.Patil; S. B. PATIL; V R Ghorpade
Large amounts of spatial data are becoming available today due to the rapid development of remote sensing techniques. Several retrieval systems are proposed to retrieve necessary, interested and effective information such as key- word based image retrieval and content based image retrieval. However, the results of these approaches are generally unsatisfactory, unpredictable and do not match human perception due to the well gap between visual features and semantic concepts. In this paper, we p...
Roč. 24, č. 3 (2015), s. 323-355. ISSN 0925-8531 R&D Projects: GA ČR(CZ) GA13-21076S Institutional support: RVO:67985955 Keywords : inquisitive semantics * negation * possible worlds * Fitch-style natural deduction * denial Subject RIV: AA - Philosophy ; Religion http://link.springer.com/article/10.1007%2Fs10849-015-9219-2
Full Text Available Frege introduced the notion of pragmatic force as what distinguishes statements from questions. This distinction was elaborated by Wittgenstein in his later works, and systematised as an account of different kinds of speech acts in formal dialogue theory by Hamblin. It lies at the heart of the inferential semantics more recently developed by Brandom. The present paper attempts to sketch some of the relations between these developments.
Full Text Available E-business refers to the utilization of information and communication technologies (ICT in support of all the activities of business. The standards developed for e-business help to facilitate the deployment of e-business. In particular, several organizations in e-business sector have produced standards and representation forms using XML. It serves as an interchange format for exchanging data between communicating applications. However, XML says nothing about the semantics of the used tags. XML is merely a standard notation for markup languages, which provides a means for structuring documents. Therefore the XML-based e-business software is developed by hard-coding. Hard-coding is proven to be a valuable and powerful way for exchanging structured and persistent business documents. However, if we use hard-coding in the case of non-persistent documents and non-static environments we will encounter problems in deploying new document types as it requires a long lasting standardization process. Replacing existing hard-coded ebusiness systems by open systems that support semantic interoperability, and which are easily extensible, is the topic of this article. We first consider XML-based technologies and standards developed for B2B interoperation. Then, we consider electronic auctions, which represent a form of e-business. In particular, we represent how semantic interoperability can be achieved in electronic auctions.
For advanced web search engines to be able not only to search for semantically related information dispersed over different web pages, but also for semantic services providing certain functionalities, discovering semantic services is the key issue. Addressing four problems of current solution, this book presents the following contributions. A novel service model independent of semantic service description models is proposed, which clearly defines all elements necessary for service discovery and selection. It takes service selection as its gist and improves efficiency. Corresponding selection algorithms and their implementation as components of the extended Semantically Enabled Service-oriented Architecture in the Web Service Modeling Environment are detailed. Many applications of semantic web services, e.g. discovery, composition and mediation, can benefit from a general approach for building application ontologies. With application ontologies thus built, services are discovered in the same way as with single...
Full Text Available Semantic Web Services, like conventional web services, are the server end of a client–server system for machine-to-machine interaction via the World Wide Web. Semantic services are a component of the semantic web because they use markup which makes data machine-readable in a detailed and sophisticated way (as compared with human-readable HTML which is usually not easily "understood" by computer programs. Semantic similarity measures are specific types of Semantic measures: mathematical tools used to estimate the strength of the semantic relationship between units of language, concepts or instances, through a numerical description obtained according to the comparison of information formally or implicitly supporting their meaning or describing their nature.
O'Donoghue, S.I.; Horn, Heiko; Pafilisa, E.;
To date, adding semantic capabilities to web content usually requires considerable server-side re-engineering, thus only a tiny fraction of all web content currently has semantic annotations. Recently, we announced Reflect (http://reflect.ws), a free service that takes a more practical approach......: Reflect uses augmented browsing to allow end-users to add systematic semantic annotations to any web-page in real-time, typically within seconds. In this paper we describe the tagging process in detail and show how further entity types can be added to Reflect; we also describe how publishers and content.......g., Wikipedia entries). The popularity of Reflect demonstrates the use and feasibility of letting end-users decide how and when to add semantic annotations. Ultimately, ‘semantics is in the eye of the end-user’, hence we believe end-user approaches such as Reflect will become increasingly important in semantic...
Full Text Available Web Services are mounting as an inventive mechanism for rendering services to subjective devices over the WWW. As a consequence of the rapid growth of Web Services applications and the plenty of Service Providers, the consumer is facing with the inevitability of selecting the “right” Service Provider. In such a scenario the Quality of Service (QoS serves as a target to differentiate Service Providers. To select the best Web Services / Service Providers, Ranking and Optimization of Web Service Compositions are challenging areas of research with significant implications for the realization of the “Web of Services” revelation. The “Semantic Web Services” use formal semantic descriptions of Web Service functionality and interface to enable automated reasoning over Web Service Compositions. This study from its experimental results revealed that the existing Semantic Web Services faces a few challenging issues such as poor prediction of best Web Services and optimized Service Providers, which leads to QoS degradation of Semantic Web. To address and overcome these identified issues, this research work is calculating the semantic similarities, utilization of various Web Services and Service Providers. After measuring these parameters, all the Web Services are ranked based on their Utilization. Finally, our proposed technique, selected best Web Services based on their ranking and placed in Web Services Composition. From the experimental results, it is established that our proposed mechanism improves the performance of Semantic Web in terms of Execution Time, Processor Utilization and Memory Management.
Town Christopher D; Avraham Shulamit; May Greg D; Schiltz Gary S; Gessler Damian DG; Grant David; Nelson Rex T
Abstract Background SSWAP (Simple Semantic Web Architecture and Protocol; pronounced "swap") is an architecture, protocol, and platform for using reasoning to semantically integrate heterogeneous disparate data and services on the web. SSWAP was developed as a hybrid semantic web services technology to overcome limitations found in both pure web service technologies and pure semantic web technologies. Results There are currently over 2400 resources published in SSWAP. Approximately two dozen ...
Colazzo, Dario; Goasdoué, François; Manolescu, Ioana; Roatis, Alexandra
The development of Semantic Web (RDF) brings new requirements for data analytics tools and methods, going beyond querying to semantics-rich analytics through warehouse-style tools. In this work, we fully redesign, from the bottom up, core data analytics concepts and tools in the context of RDF data, leading to the first complete formal framework for warehouse-style RDF analytics. Notably, we define i) analytical schemas tailored to heterogeneous, semantics-rich RDF graph, ii) analytical queri...
Metadata is a key aspect of our evolving infrastructure for information management, social computing, and scientific collaboration. DC-2008 will focus on metadata challenges, solutions, and innovation in initiatives and activities underlying semantic and social applications. Metadata is part of the fabric of social computing, which includes the use of wikis, blogs, and tagging for collaboration and participation. Metadata also underlies the development of semantic applications, and the Semant...
Szomszor, Martin; Cattuto, Ciro; Alani, Harith; O'Hara, Kieron; Baldassarri, Andrea; Loreto, Vittorio; Vito D. P. Servedio
While the Semantic Web has evolved to support the meaningful exchange of heterogeneous data through shared and controlled conceptualisations, Web 2.0 has demonstrated that large-scale community tagging sites can enrich the semantic web with readily accessible and valuable knowledge. In this paper, we investigate the integration of a movies folksonomy with a semantic knowledge base about user-movie rentals. The folksonomy is used to enrich the knowledge base with descriptions and categorisatio...
Meza-Ruiz, Ivan Vladimir
Markov Logic (ML) is a novel approach to Natural Language Processing tasks [Richardson and Domingos, 2006; Riedel, 2008]. It is a Statistical Relational Learning language based on First Order Logic (FOL) and Markov Networks (MN). It allows one to treat a task as structured classification. In this work, we investigate ML for the semantic processing tasks of Spoken Language Understanding (SLU) and Semantic Role Labelling (SRL). Both tasks consist of identifying a semantic represe...
Sah, Melike; Hall, Wendy
This paper presents a semantic portal, SEMPort, which provides better user support with personalized views, semantic navigation, ontology-based search and three different kinds of semantic hyperlinks. Distributed content editing and provision is supplied for the maintenance of the contents in real-time. As a case study, SEMPort is tested on the Course Modules Web Page (CMWP) of the School of Electronics and Computer Science (ECS).
O'Hara, Kieron; Alani, Harith; Kalfoglou, Yannis; Shadbolt, Nigel
Everyone agrees on the importance of enabling trust on the SemanticWeb to ensure more efficient agent interaction. Current research on trust seems to focus on developing computational models, semantic representations, inference techniques, etc. However, little attention has been given to the plausible trust strategies or tactics that an agent can follow when interacting with other agents on the Semantic Web. In this paper we identify five most common strategies of trust and discuss their envi...