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024 7 $a10.1007/11526988
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035   $a(DE-He213)978-3-540-31675-6
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100   $a20100715d2005      u|             0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt
182   $cc
183   $acr
200 10$aReasoning Web$b[electronic resource] $eFirst International Summer School 2005, Msida, Malta, July 25-29, 2005, Revised Lectures /$fedited by Norbert Eisinger, Jan Maluszynski
205   $a1st ed. 2005.
210  1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2005.
215   $a1 online resource (X, 326 p.)
225 1 $aInformation Systems and Applications, incl. Internet/Web, and HCI ;$v3564
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   $aThis volume contains the tutorial papers of the Summer School ?Reasoning Web,?July25?29,2005(http://reasoningweb. org). TheSchoolwashostedbythe University of Malta and was organized by the Network of Excellence REWERSE ?Reasoning on the Web with Rules and Semantics? (http://rewerse. net), funded by the EU Commission and by the Swiss Federal O?ce for Edu- tion and Science within the 6th Framework Programme under the project ref- ence number 506779. The objective of the school was to provide an introduction into methods and issues of the Semantic Web, a major endeavor in current Web research, where the World Wide Web Consortium W3C plays an important role. The main idea of the Semantic Web is to enrich Web data with meta-data carrying a ?meaning? of the data and allowing Web-based systems to reason about data (and meta-data). The meta-data used in Semantic Web applications is usually linked to a conceptualization of the application domain shared by di?erent applications. Such a conceptualization is called an ontology and sp- i?es classes of objects and relations between them. Ontologies are de?ned by ontology languages, based on logic and supporting formal reasoning. Just as the current Web is inherently heterogeneous in data formats and data semantics, the Semantic Web will be inherently heterogeneous in its reasoning forms. - deed, any single form of reasoning turns out to be insu?cient in the Semantic Web.
410  0$aInformation Systems and Applications, incl. Internet/Web, and HCI ;$v3564
606   $aApplication software
606   $aComputer communication systems
606   $aInformation storage and retrieval
606   $aInformation technology
606   $aBusiness?Data processing
606   $aComputer logic
606   $aArtificial intelligence
606   $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040
606   $aComputer Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13022
606   $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032
606   $aIT in Business$3https://scigraph.springernature.com/ontologies/product-market-codes/522000
606   $aLogics and Meanings of Programs$3https://scigraph.springernature.com/ontologies/product-market-codes/I1603X
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
615  0$aApplication software.
615  0$aComputer communication systems.
615  0$aInformation storage and retrieval.
615  0$aInformation technology.
615  0$aBusiness?Data processing.
615  0$aComputer logic.
615  0$aArtificial intelligence.
615 14$aInformation Systems Applications (incl. Internet).
615 24$aComputer Communication Networks.
615 24$aInformation Storage and Retrieval.
615 24$aIT in Business.
615 24$aLogics and Meanings of Programs.
615 24$aArtificial Intelligence.
676   $a025.04
702   $aEisinger$b Norbert$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aMaluszynski$b Jan$4edt$4http://id.loc.gov/vocabulary/relators/edt
712 12$aSummer School on Reasoning Web
906   $aBOOK
912   $a996465826403316
996   $aReasoning Web$9772295
997   $aUNISA