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101 0 $aeng
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181   $ctxt$2rdacontent
182   $cc$2rdamedia
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200 10$aIntelligent Information Integration for the Semantic Web$b[electronic resource] /$fby Ubbo Visser
205   $a1st ed. 2004.
210  1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2004.
215   $a1 online resource (X, 142 p.) 
225 1 $aLecture Notes in Artificial Intelligence ;$v3159
300   $aBibliographic Level Mode of Issuance: Monograph
311   $a3-540-22993-0 
320   $aIncludes bibliographical references.
327   $aand Related Work -- Related Work -- The Buster Approach for Terminological, Spatial, and Temporal Representation and Reasoning -- General Approach of Buster -- Terminological Representation and Reasoning, Semantic Translation -- Spatial Representation and Reasoning -- Temporal Representation and Reasoning -- Implementation, Conclusion, and Future Work -- Implementation Issues and System Demonstration -- Conclusion and Future Work -- References.
330   $aThe Semantic Web o?ers new options for information processes. Dr. Visser is dealing with twocore issuesin this area:the integrationofdata onthe sem- tic level and the problem of spatio-temporalrepresentation and reasoning. He tackles existing research problems within the ?eld of geographic information systems(GIS), thesolutionsofwhichareessentialfor animprovedfunction- ity of applicationsthat makeuse of the Semantic Web (e.g., for heterogeneous digitalmaps).Inaddition,theyareoffundamentalsigni?canceforinformation sciences as such. In an introductory overview of this ?eld of research, he motivates the - cessity for formal metadata for unstructured information in the World Wide Web. Without metadata, an e?cient search on a semantic level will turn out to be impossible, above all if it is not only applied to a terminological level but also to spatial-temporal knowledge. In this context, the task of infor- tionintegrationisdividedinto syntactic,structural,andsemanticintegration, the last class by far the most di?cult, above all with respect to contextual semantic heterogeneities. A current overview of the state of the art in the ?eld of information in- gration follows. Emphasis is put particularly on the representation of spatial and temporal aspects including the corresponding inference mechanisms, and also the special requirements on the Open GIS Consortium.
410  0$aLecture Notes in Artificial Intelligence ;$v3159
606   $aComputer science
606   $aDatabase management
606   $aArtificial intelligence
606   $aInformation storage and retrieval
606   $aApplication software
606   $aComputers
606   $aPopular Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/Q23000
606   $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032
606   $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040
606   $aTheory of Computation$3https://scigraph.springernature.com/ontologies/product-market-codes/I16005
615  0$aComputer science.
615  0$aDatabase management.
615  0$aArtificial intelligence.
615  0$aInformation storage and retrieval.
615  0$aApplication software.
615  0$aComputers.
615 14$aPopular Computer Science.
615 24$aDatabase Management.
615 24$aArtificial Intelligence.
615 24$aInformation Storage and Retrieval.
615 24$aInformation Systems Applications (incl. Internet).
615 24$aTheory of Computation.
676   $a025.04
700   $aVisser$b Ubbo$4aut$4http://id.loc.gov/vocabulary/relators/aut$0600455
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906   $aBOOK
912   $a996465381303316
996   $aIntelligent information integration for the semantic Web$91023447
997   $aUNISA