000 | 03887nam a22005415i 4500 | ||
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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 |
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024 | 7 |
_a10.1007/978-3-540-49612-0 _2doi |
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050 | 4 | _aQA76.6-76.66 | |
072 | 7 |
_aUM _2bicssc |
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072 | 7 |
_aCOM051000 _2bisacsh |
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082 | 0 | 4 |
_a005.11 _223 |
100 | 1 |
_aEuzenat, Jérôme. _eauthor. |
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245 | 1 | 0 |
_aOntology Matching _h[electronic resource] / _cby Jérôme Euzenat, Pavel Shvaiko. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2007. |
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300 |
_aIX, 333 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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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. |
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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 |