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008			150903s2007 gw | o |||| 0|eng d
020			_a9783540496120 _99783540496120
024	7		_a10.1007/9783540496120 _2doi
035			_avtls000349843
039		9	_a201509030454 _bVLOAD _c201405050348 _dVLOAD _y201402071212 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aQA75.5-76.95
100	1		_aEuzenat, Jérôme. _eautor _9329456
245	1	0	_aOntology Matching / _cby Jérôme Euzenat, Pavel Shvaiko.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2007.
300			_aIx, 333 páginas _brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
500			_aSpringer eBooks
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.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aShvaiko, Pavel. _eautor _9331999
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9783540496113
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-540-49612-0 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999			_c296721 _d296721