000 03887nam a22005415i 4500
001 978-3-540-49612-0
003 DE-He213
005 20161121230614.0
007 cr nn 008mamaa
008 100301s2007 gw | s |||| 0|eng d
020 _a9783540496120
_9978-3-540-49612-0
024 7 _a10.1007/978-3-540-49612-0
_2doi
050 4 _aQA76.6-76.66
072 7 _aUM
_2bicssc
072 7 _aCOM051000
_2bisacsh
082 0 4 _a005.11
_223
100 1 _aEuzenat, Jérôme.
_eauthor.
245 1 0 _aOntology Matching
_h[electronic resource] /
_cby Jérôme Euzenat, Pavel Shvaiko.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2007.
300 _aIX, 333 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aThe matching problem -- Applications -- The matching problem -- Ontology matching techniques -- Classifications of ontology matching techniques -- Basic techniques -- Matching strategies -- Systems and evaluation -- Overview of matching systems -- Evaluation of matching systems -- Representing, explaining, and processing alignments -- Frameworks and formats: representing alignments -- Explaining alignments -- Processing alignments -- Conclusions -- Conclusions.
520 _aOntologies tend to be found everywhere. They are viewed as the silver bullet for many applications, such as database integration, peer-to-peer systems, e-commerce, semantic web services, or social networks. However, in open or evolving systems, such as the semantic web, different parties would, in general, adopt different ontologies. Thus, merely using ontologies, like using XML, does not reduce heterogeneity: it just raises heterogeneity problems to a higher level. Euzenat and Shvaiko’s book is devoted to ontology matching as a solution to the semantic heterogeneity problem faced by computer systems. Ontology matching aims at finding correspondences between semantically related entities of different ontologies. These correspondences may stand for equivalence as well as other relations, such as consequence, subsumption, or disjointness, between ontology entities. Many different matching solutions have been proposed so far from various viewpoints, e.g., databases, information systems, artificial intelligence. With Ontology Matching, researchers and practitioners will find a reference book which presents currently available work in a uniform framework. In particular, the work and the techniques presented in this book can equally be applied to database schema matching, catalog integration, XML schema matching and other related problems. The objectives of the book include presenting (i) the state of the art and (ii) the latest research results in ontology matching by providing a detailed account of matching techniques and matching systems in a systematic way from theoretical, practical and application perspectives.
650 0 _aComputer science.
650 0 _aInformation technology.
650 0 _aBusiness
_xData processing.
650 0 _aComputer programming.
650 0 _aInformation storage and retrieval.
650 0 _aArtificial intelligence.
650 0 _aE-commerce.
650 1 4 _aComputer Science.
650 2 4 _aProgramming Techniques.
650 2 4 _aInformation Storage and Retrieval.
650 2 4 _aInformation Systems Applications (incl. Internet).
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aIT in Business.
650 2 4 _ae-Commerce/e-business.
700 1 _aShvaiko, Pavel.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783540496113
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-540-49612-0
912 _aZDB-2-SCS
950 _aComputer Science (Springer-11645)
999 _c501259
_d501259