Search results for "Semantic Web Stack"

showing 5 items of 45 documents

Spatialization of the Semantic Web

2012

syntax for Horn-like rules. The SWRL as the form, antecedentconsequent, where both antecedent and consequent are conjunctions of atoms written a1^ ... ^ an. Atoms in rules can be of the form C(x), P(x,y), Q(x,z), sameAs(x,y), differentFrom(x,y), or builtIn(pred, z1, ..., zn), where C is an OWL description, P is an OWL individual-valued property, Q is an OWL data-valued property, pred is a datatype predicate URIref, x and y are either individual-valued variables or OWL individuals, and z, z1, ... zn are either data-valued variables or OWL data literals. An OWL data literal is either a typed literal or a plain literal. Variables are indicated by using the standard convention of prefixing the…

computer.internet_protocolProgramming languagebusiness.industryComputer science02 engineering and technologyOntology (information science)computer.software_genreSocial Semantic WebWorld Wide WebXQueryXML Schema (W3C)020204 information systems0202 electrical engineering electronic engineering information engineeringLiteral (computer programming)020201 artificial intelligence & image processingSemantic Web StackbusinesscomputerSemantic WebXPathcomputer.programming_language
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General Adaption Framework

2005

Integration of heterogeneous applications and data sources into an interoperable system is one of the most relevant challenges for many knowledge-based corporations nowadays. Development of a global environment that would support knowledge transfer from human experts to automated Web services, which are able to learn, is a very profit-promising and challenging task. The domain of industrial maintenance is not an exception. This paper outlines in detail an approach for adaptation of heterogeneous Web resources into a unified environment as a first step toward interoperability of smart industrial resources, where distributed human experts and learning Web services are utilized by various devi…

medicine.medical_specialtyComputer Networks and CommunicationsComputer sciencebusiness.industrySemantic interoperabilitySocial Semantic WebWorld Wide WebSemantic gridSemantic analyticsmedicineSemantic Web StackbusinessSemantic WebWeb modelingData WebInformation SystemsInternational Journal on Semantic Web and Information Systems
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Towards a Framework for Agent-Enabled Semantic Web Service Composition

2004

The article presents the framework for agent-enabled dynamic Web service composition. The core of the methodology is the new understanding of a Web service as an agent capability having proper ontological description. It is demonstrated how diverse Web services may be composed and mediated by dynamic coalitions of software agents collaboratively performing tasks for service requestors. Middle Agent Layer is introduced to conduct service request to task transformation, agent-enabled cooperative task decomposition and performance. Discussed are the formal means to arrange agents’ negotiation, to represent the semantic structure of the task-activity-service hierarchy and to assess fellow-agent…

medicine.medical_specialtyComputer Networks and Communicationsbusiness.industryComputer scienceService designcomputer.software_genreSocial Semantic WebWorld Wide WebmedicineSemantic Web StackWeb servicebusinessWS-PolicySemantic WebcomputerWeb modelingSoftwareData WebInformation SystemsInternational Journal of Web Services Research
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Dynamic, Behavior-Based User Profiling Using Semantic Web Technologies in a Big Data Context

2013

pp. 363-372; International audience; The success of shaping the e-society is crucially dependent on how well technology adapts to the needs of each single user. A thorough understanding of one's personality, interests, and social connections facilitate the integration of ICT solutions into one's everyday life. The MindMinings project aims to build an advanced user profile, based on the automatic processing of a user's navigation traces on the Web. Given the various needs underpinned by our goal (e.g. integration of heterogeneous sources and automatic content extraction), we have selected Semantic Web technologies for their capacity to deliver machine-processable information. Indeed, we have…

medicine.medical_specialtyComputer science[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]02 engineering and technologycomputer.software_genreSocial Semantic Web[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]World Wide Web020204 information systems0202 electrical engineering electronic engineering information engineeringmedicineWeb navigationSemantic Web Stack[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]Semantic WebData Web[ INFO.INFO-DS ] Computer Science [cs]/Data Structures and Algorithms [cs.DS][INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]User profilebusiness.industry[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB]020201 artificial intelligence & image processingWeb servicebusinesscomputerWeb modeling
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Cognitive Linguistics as the Underlying Framework for Semantic Annotation

2012

In recent years many attempts have been made to design suitable sets of rules aimed at extracting the semantic meaning from plain text, and to achieve annotation, but very few approaches make extensive use of grammars. Current systems are mainly focused on extracting the semantic role of the entities described in the text. This approach has limitations: in such applications the semantic role is conceived merely as the meaning of the involved entities without considering their context. As an example, current semantic annotators often specify a date entity without any annotation regarding the kind of the date itself i.e. a birth date, a book publication date, and so on. Moreover, these system…

semantic annotation cognitive linguistics construction grammarSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniInformation retrievalComputer sciencebusiness.industrycomputer.software_genreSemantic role labelingSemantic similaritySemantic equivalenceExplicit semantic analysisSemantic computingSemantic analyticsSemantic technologyArtificial intelligenceSemantic Web StackbusinesscomputerNatural language processing2012 IEEE Sixth International Conference on Semantic Computing
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