Search results for "Semantic Web Stack"

showing 10 items of 45 documents

Emergent Web Intelligence: Advanced Semantic Technologies

2010

The future of the World Wide Web depended on its ability to understand and automatically process content to enable computers and people to work in cooperation. New advanced techniques and intelligent approaches are required more than ever to transform the Web into a universal reasoning and semantic-driven computing machine. The Web intelligence discipline attempts to deal with this challenge by exploits information technologies and artificial intelligence approaches to design next generation of web-empowered systems and services. The Emergent Web Intelligence: Advanced Semantic Technologies" book provides valuable references and cuttingedge technologies for: undergraduate and postgraduate s…

Web standardsmedicine.medical_specialtyWeb developmentbusiness.industryComputer scienceData scienceSocial Semantic WebWorld Wide WebWeb designmedicineSemantic Web StackWeb intelligencebusinessWeb modelingSemantic Web
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Ontosmartresource: an industrial resource generation in semantic web

2005

Semantic Web is a logical evolution of the existing Web. It was meant to serve for machines as today's Web does for humans. The term "machines" according to the existing semantic Web's vocabulary mostly means "computers". However industry needs such applications, which consider machines also as embedded computational entities within field devices, personal devices, microwave ovens, etc. In other words, now we should involve the real (industrial) world objects as resources into semantic Web. Still the main object of such a world will be a human, which becoming a resource (not just a user of resources) in the distributed environment. In this paper we introduce an extension of the semantic Web…

Web standardsmedicine.medical_specialtybusiness.industryComputer scienceSocial Semantic WebWorld Wide WebSemantic gridmedicineSemantic analyticsSemantic Web StackbusinessSemantic WebWeb modelingData Web2nd IEEE International Conference on Industrial Informatics, 2004. INDIN '04. 2004
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Proactively Composing Web Services as Tasks by Semantic Web Agents

2011

This chapter presents the framework for agent-enabled dynamic composition of Semantic Web services. The approach and the framework have been developed in several research and development projects by ISRG and IOG. The core of the methodology is the new understanding of a Semantic Web service as a capability of an intelligent software agent supplied with the 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 the transformation of a Web service request to the corresponding task, agent-enabled cooperat…

Web standardsmedicine.medical_specialtybusiness.industryComputer sciencecomputer.software_genreSocial Semantic WebWorld Wide WebmedicineSemantic Web StackWeb servicebusinessWS-PolicycomputerSemantic WebWeb modelingData Web
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A Social-Empowered Platform for Gathering Semantic Information

2013

Social Networks constitute the key ingredient for the huge success of the so called Social Web or Web 2.0. In social networks, a user has the possibility to interact with other users without the need of meeting them. The value of social applications benefit from the network effect, which states that the value of a service to a user arises from the number of people using the service. However, the associated semantics for this kind of applications, delivered through tagging, is generally scarce, thus narrowing the range of permissible operations for exploiting these data. In this paper, we present a semantic-based social platform that incorporates the benefits of semantic Web technologies int…

World Wide WebKnowledge basebusiness.industryComputer scienceSemantic computingSemantic technologySemantic Web StackbusinessSemanticsSocial webSemantic WebNetwork effect
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From web 1.0 to web 4.0

2014

The Internet is active and very dynamic. It has enabled an unprecedented evolution in telematics and information systems, and in turn a global revolution in the use of technology and digital citizenry. Although many see the technologies that have driven this revolution as inventions of the past 1 to 2 decades, quite a few had their genesis before the Internet became mainstream. In exploring the history of the Internet, we see how it has facilitated innovations across all areas of technology and social life, and with a little imagination are perhaps able to get a glimpse of what is to come. A lot of technologies related to the Web environment have emerged in this area: Blogs, Wikis, Social N…

World Wide WebWeb standardsWeb 2.0Web developmentbusiness.industryComputer scienceSemantic Web StackWeb intelligencebusinessSemantic WebData WebSocial Semantic WebProceedings of the 7th Euro American Conference on Telematics and Information Systems
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Semantic Annotation and Retrieval of Services in the Cloud

2013

Recently, the economy has taken a downturn, which has forced many companies to reduce their costs in IT. This fact has, conversely, benefited the adoption of innovative computing models such as cloud computing, which allow businesses to reduce their fixed IT costs through outsourcing. As the number of cloud services available on the Internet grows, it is more and more difficult for companies to find those that can meet their needs. Under these circumstances, enabling a semantically-enriched search engine for cloud solutions can be a major breakthrough. In this paper, we present a fully-fledged platform based on semantics that (1) assist in generating a semantic description of cloud services…

World Wide Webbusiness.industryComputer scienceInformation and Communications TechnologySemantic computingCloud computingThe InternetSemantic Web StackSemanticsbusinessImage retrievalOutsourcing
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Interpreting Heterogeneous Geospatial Data Using Semantic Web Technologies

2016

International audience; The paper presents work on implementation of semantic technologies within a geospatial environment to provide a common base for further semantic interpretation. The work adds on the current works in similar areas where priorities are more on spatial data integration. We assert that having a common unified semantic view on heterogeneous datasets provides a dimension that allows us to extend beyond conventional concepts of searchability, reusability, composability and interoperability of digital geospatial data. It provides contextual understanding on geodata that will enhance effective interpretations through possible reasoning capabilities. We highlight this through …

[ INFO ] Computer Science [cs]Geospatial analysisComputer scienceInteroperabilitySemantification02 engineering and technologySDIcomputer.software_genreSocial Semantic Web020204 information systems0202 electrical engineering electronic engineering information engineeringSemantic analyticsGeospatial PDF[INFO]Computer Science [cs]Web Coverage ServiceSemantic Web StackSemantic WebData WebR2RMLInformation retrievalLand usebusiness.industryCIPcomputer.file_formatGeoSPARQLInteroperabilityGeoSPARQLSemantic technology020201 artificial intelligence & image processingHeterogeneitybusinesscomputer
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Guest Editors' Introduction: Multimedia Metadata and Semantic Management

2009

This special issue assesses the current status and technologies and describes major challenges and proper solutions for effective multimedia production and management related to evolving Semantic Web strategies. The included articles, which cover different facets of the semantic management of multimedia and multimedia metadata from retrieval and processing to consumption and presentation, represent a step forward in research targeted at improving aspects of the semantic metadata life cycle.

[ INFO.INFO-IR ] Computer Science [cs]/Information Retrieval [cs.IR][INFO.INFO-WB] Computer Science [cs]/WebComputer science[ INFO.INFO-WB ] Computer Science [cs]/Web[SCCO.COMP]Cognitive science/Computer science02 engineering and technologySemanticsWorld Wide Web[SCCO.COMP] Cognitive science/Computer scienceSemantic computing0202 electrical engineering electronic engineering information engineeringMedia Technology[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB]Semantic Web StackSemantic WebImage retrieval[ INFO.INFO-MM ] Computer Science [cs]/Multimedia [cs.MM][INFO.INFO-MM] Computer Science [cs]/Multimedia [cs.MM][INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]business.industry[INFO.INFO-WB]Computer Science [cs]/Web[INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM]020207 software engineeringComputer Science ApplicationsMetadataSemantic grid[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB]Hardware and Architecture[ SCCO.COMP ] Cognitive science/Computer science[INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]Signal Processing020201 artificial intelligence & image processingThe Internet[INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR]businessSoftware
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Qualifying semantic graphs using model checking

2011

International audience; Semantic interoperability problems have found their solutions using languages and techniques from the Semantic Web. The proliferation of ontologies and meta-information has improved the understanding of information and the relevance of search engine responses. However, the construction of semantic graphs is a source of numerous errors of interpretation or modeling and scalability remains a major problem. The processing of large semantic graphs is a limit to the use of semantics in current information systems. The work presented in this paper is part of a new research at the border of two areas: the semantic web and the model checking. This line of research concerns t…

[ INFO.INFO-MO ] Computer Science [cs]/Modeling and Simulation[INFO.INFO-WB] Computer Science [cs]/WebComputer science[ INFO.INFO-WB ] Computer Science [cs]/Web0102 computer and information sciences02 engineering and technologycomputer.software_genre01 natural sciencesSocial Semantic Webtemporal logicSemantic similaritySemantic computing0202 electrical engineering electronic engineering information engineeringSemantic analyticsSemantic integrationSemantic Web StackInformation retrievalbusiness.industry[INFO.INFO-WB]Computer Science [cs]/WebSemantic search020207 software engineeringSemantic interoperability[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationModel-checking010201 computation theory & mathematicsSemantic graphTheoryofComputation_LOGICSANDMEANINGSOFPROGRAMS[INFO.INFO-MO] Computer Science [cs]/Modeling and SimulationArtificial intelligencebusinesscomputerNatural language processing2011 International Conference on Innovations in Information Technology
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Temporal Logic To Query Semantic Graphs Using The Model Checking Method

2012

International audience; Semantic interoperability problems have found their solutions due to the use of languages and techniques from the Semantic Web. The proliferations of ontologies and meta-information have improved the understanding of information and the relevance of search engine responses. However, the construction of semantic graphs is a source of numerous errors of interpretation or modeling, and scalability remains a major problem. The processing of large semantic graphs is a limit to the use of semantics in current information systems. The work presented in this paper is part of a new research at the border of two areas: the semantic web and the model checking. This line of rese…

[INFO.INFO-WB] Computer Science [cs]/WebComputer science[INFO.INFO-SE] Computer Science [cs]/Software Engineering [cs.SE][ INFO.INFO-WB ] Computer Science [cs]/WebSPARQL.02 engineering and technology[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE][ INFO.INFO-SE ] Computer Science [cs]/Software Engineering [cs.SE]Ontology (information science)computer.software_genreQuery languagetemporal logic querySPARQLSocial Semantic WebSearch engineDescription logicSemantic similaritytemporal logicArtificial IntelligenceWeb query classificationSemantic computing0202 electrical engineering electronic engineering information engineeringInformation systemSemantic analyticsSPARQLSemantic Web StackRDFSemantic Webcomputer.programming_language[INFO.INFO-SC]Computer Science [cs]/Symbolic Computation [cs.SC]Web search querySemantic Web Rule LanguageProgramming languagebusiness.industry[INFO.INFO-SC] Computer Science [cs]/Symbolic Computation [cs.SC][INFO.INFO-WB]Computer Science [cs]/Web020207 software engineeringcomputer.file_formatSemantic interoperabilitymodel checking[ INFO.INFO-SC ] Computer Science [cs]/Symbolic Computation [cs.SC]Human-Computer InteractionSemantic graph020201 artificial intelligence & image processingbusinesscomputerSoftwareRDF query language
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