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101 0 $aeng
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181   $ctxt
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183   $acr
200 10$aReasoning web $efirst international summer school 2005, Msida, Malta, July 25-29, 2005 : tutorial lectures /$fNorbert Eisinger, Jan Mauszynski (eds.)
205   $a1st ed. 2005.
210   $aBerlin ;$aNew York $cSpringer$d2005
215   $a1 online resource (X, 326 p.)
225 1 $aLecture notes in computer science,$x0302-9743 ;$v3564.$aTutorial
300   $a"First Summer School on Reasoning Web"--P. [4] of cover.
311   $a3-540-31675-2 
311   $a3-540-27828-1 
320   $aIncludes bibliographical references and index.
327   $ato Semantic Web Ontology Languages -- Rules and Ontologies in F-Logic -- Web and Semantic Web Query Languages: A Survey -- Evolution and Reactivity for the Web -- Personalization for the Semantic Web -- Attempto Controlled English: A Knowledge Representation Language Readable by Humans and Machines -- Rule Modeling and Markup -- Information Extraction for the Semantic Web -- Reuse in Semantic Applications -- Towards Types for Web Rule Languages.
330   $aThis volume contains the tutorial papers of the Summer School ?Reasoning Web,?July25?29,2005(http://reasoningweb. org). TheSchoolwashostedbythe University of Malta and was organized by the Network of Excellence REWERSE ?Reasoning on the Web with Rules and Semantics? (http://rewerse. net), funded by the EU Commission and by the Swiss Federal O?ce for Edu- tion and Science within the 6th Framework Programme under the project ref- ence number 506779. The objective of the school was to provide an introduction into methods and issues of the Semantic Web, a major endeavor in current Web research, where the World Wide Web Consortium W3C plays an important role. The main idea of the Semantic Web is to enrich Web data with meta-data carrying a ?meaning? of the data and allowing Web-based systems to reason about data (and meta-data). The meta-data used in Semantic Web applications is usually linked to a conceptualization of the application domain shared by di?erent applications. Such a conceptualization is called an ontology and sp- i?es classes of objects and relations between them. Ontologies are de?ned by ontology languages, based on logic and supporting formal reasoning. Just as the current Web is inherently heterogeneous in data formats and data semantics, the Semantic Web will be inherently heterogeneous in its reasoning forms. - deed, any single form of reasoning turns out to be insu?cient in the Semantic Web.
410  0$aLecture notes in computer science ;$v3564.
410  0$aLecture notes in computer science.$pTutorial.
606   $aSemantic Web$vCongresses
606   $aOntology$vCongresses
606   $aKnowledge representation (Information theory)$vCongresses
606   $aQuery languages (Computer science)$vCongresses
615  0$aSemantic Web
615  0$aOntology
615  0$aKnowledge representation (Information theory)
615  0$aQuery languages (Computer science)
676   $a025.04
701   $aEisinger$b Norbert$01754240
701   $aMauszynski$b J$g(Jan),$f1941-$01754241
712 12$aSummer School on Reasoning Web
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910484597203321
996   $aReasoning web$94190482
997   $aUNINA