Search results for " Semantic Web"

showing 10 items of 50 documents

Natural Language Processing Agents and Document Clustering in Knowledge Management

2008

While HTML provides the Web with a standard format for information presentation, XML has been made a standard for information structuring on the Web. The mission of the Semantic Web now is to provide meaning to the Web. Apart from building on the existing Web technologies, we need other tools from other areas of science to do that. This chapter shows how natural language processing methods and technologies, together with ontologies and a neural algorithm, can be used to help in the task of adding meaning to the Web, thus making the Web a better platform for knowledge management in general.

Web standardsmedicine.medical_specialtyInformation retrievalKnowledge managementWeb developmentbusiness.industryComputer sciencecomputer.software_genreSocial Semantic WebWorld Wide WebmedicineArtificial intelligenceSemantic Web StackWeb servicebusinessWeb modelingcomputerSemantic WebData WebNatural language processing
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Semantic Web Enabled Web Services: State-of-Art and Industrial Challenges

2003

Semantic Web technology has a vision to define and link Web data in a way that it can be understood and used by machines for automation, integration and reuse of data across various applications. Ontological definition of every resource as it is assumed in Semantic Web, along with new techniques for semantics processing and new vision Intelligent Web Services is expected to bring Web on its new level. At present, Web Services technology is stressed by the search of a right way for further development. Combination of Semantic Web and Web Services concepts may address many of difficulties of existing technology. It is not a question of whether Semantic Web is coming or not, but a question of …

Web standardsmedicine.medical_specialtyWeb 2.0Web developmentComputer scienceService discoveryWeb engineeringReusecomputer.software_genreSocial Semantic WebWorld Wide WebWeb designSemantic analyticsmedicineWeb navigationSemantic Web StackRDFSemantic WebData Webbusiness.industrycomputer.file_formatWeb application securityOntologyThe InternetWeb mappingWeb servicebusinessWeb intelligenceWS-PolicycomputerWeb modelingInformation integration
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Semantic Web Services for Smart Devices in a “Global Understanding Environment”

2003

Various Web resources and services are usually assumed to be used and accessed by human users (current Web) or by software agents on behalf of human users (emerging Semantic Web). However industry emerges also a new group of “users”, which are smart industrial devices, robots or any other objects, which can be adapted to the (Semantic) Web environment. They would need special services for e.g. online condition monitoring, information provisioning, remote diagnostics, maintenance support, etc. The goal of this paper is to specify main requirements to Web services that automatically follow up and predict the performance and maintenance needs of field devices. Semantic Web enabled services for…

Web standardsmedicine.medical_specialtyWeb developmentWeb 2.0Service delivery frameworkComputer scienceSmart deviceService discoveryMobile computingcomputer.software_genreSocial Semantic Weblaw.inventionDevices Profile for Web ServicesWorld Wide WeblawmedicineSemantic Web StackSemantic WebData WebMultimediabusiness.industryService designProvisioningDifferentiated serviceMobile agentThe InternetWeb serviceWeb resourcebusinessWS-PolicyWeb modelingcomputerMobile service
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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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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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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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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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Architectural Reconstruction of 3D Building Objects through Semantic Knowledge Management

2010

International audience; This paper presents an ongoing research which aims at combining geometrical analysis of point clouds and semantic rules to detect 3D building objects. Firstly by applying a previous semantic formalization investigation, we propose a classification of related knowledge as definition, partial knowledge and ambiguous knowledge to facilitate the understanding and design. Secondly an empirical implementation is conducted on a simplified building prototype complying with the IFC standard. The generation of empirical knowledge rules is revealed and semantic scopes are addressed both in the bottom up manner along the line of geometry --> topology --> semantic, and a vice ver…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]cognitionComputer science02 engineering and technologySemanticscomputer.software_genreSocial Semantic Webformal[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Semantic similaritySemantic computing0202 electrical engineering electronic engineering information engineering[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB][ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]Semantic WebInformation retrieval[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]Semantic Web Rule Languagebusiness.industryepistemology020207 software engineeringknowledge management[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB]Semantic gridsemanticSemantic technology020201 artificial intelligence & image processingData miningbusinesscomputer
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