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100   $a20071215d2008      uy             0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 00$aOntology learning and population$b[electronic resource] $ebridging the gap between text and knowledge /$fedited by Paul Buitelaar and Philipp Cimiano
210   $aAmsterdam $cIos Press$d2008
215   $a1 online resource (292 p.)
225 1 $aFrontiers in artificial intelligence and applications ;$vv. 167
300   $aDescription based upon print version of record.
311   $a1-58603-818-4 
320   $aIncludes bibliographical references.
327   $aTitle page; On the ""Ontology"" in Ontology Learning; Foreword; Contents; Extracting Terms and Synonyms; Taxonomy and Concept Learning; Learning Relations; Ontology Population; Methodology; Evaluation; Author Index
330   $aThe promise of the Semantic Web is that future web pages will be annotated not only with bright colors and fancy fonts as they are now, but with annotation extracted from large domain ontologies that specify, to a computer in a way that it can exploit, what information is contained on the given web page. The presence of this information will allow software agents to examine pages and to make decisions about content as humans are able to do now. The classic method of building an ontology is to gather a committee of experts in the domain to be modeled by the ontology, and to have this committee 
410  0$aFrontiers in artificial intelligence and applications ;$vv. 167.
606   $aArtificial intelligence
606   $aExpert systems (Computer science)
606   $aInformation retrieval
606   $aKnowledge acquisition (Expert systems)
606   $aMachine learning
606   $aNatural language processing (Computer science)
606   $aOntology
615  0$aArtificial intelligence.
615  0$aExpert systems (Computer science)
615  0$aInformation retrieval.
615  0$aKnowledge acquisition (Expert systems)
615  0$aMachine learning.
615  0$aNatural language processing (Computer science)
615  0$aOntology.
676   $a006.33
701   $aBuitelaar$b Paul$01108479
701   $aCimiano$b Philipp$0877844
801  0$bMiAaPQ
801  1$bMiAaPQ
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906   $aBOOK
912   $a9910782332603321
996   $aOntology learning and population$93805804
997   $aUNINA