000			03018nam a22003975i 4500
001			303328
003			MX-SnUAN
005			20160429155818.0
007			cr nn 008mamaa
008			150903s2011 gw | o |||| 0|eng d
020			_a9783642179167 _99783642179167
024	7		_a10.1007/9783642179167 _2doi
035			_avtls000356351
039		9	_a201509030525 _bVLOAD _c201405060404 _dVLOAD _y201402191216 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aQ342
100	1		_aLim, Edward H. Y. _eautor _9341873
245	1	0	_aKnowledge Seeker - Ontology Modelling for Information Search and Management : _bA Compendium / _cby Edward H. Y. Lim, James N. K. Liu, Raymond S. T. Lee.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2011.
300			_axxvI, 237 páginas _brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
490	0		_aIntelligent Systems Reference Library, _x1868-4394 ; _v8
500			_aSpringer eBooks
505	0		_aPart I Introduction -- Part II KnowledgeSeeker - An Ontology Modeling and Learning Framework -- Part III KnowledgeSeeker Applications.
520			_aThe KnowledgeSeeker is a useful system to develop various intelligent applications such as ontology-based search engine, ontology-based text classification system, ontological agent system, and semantic web system etc. The KnowledgeSeeker contains four different ontological components. First, it defines the knowledge representation model ¡V Ontology Graph. Second, an ontology learning process that based on chi-square statistics is proposed for automatic learning an Ontology Graph from texts for different domains. Third, it defines an ontology generation method that transforms the learning outcome to the Ontology Graph format for machine processing and also can be visualized for human validation. Fourth, it defines different ontological operations (such as similarity measurement and text classification) that can be carried out with the use of generated Ontology Graphs. The final goal of the KnowledgeSeeker system framework is that it can improve the traditional information system with higher efficiency. In particular, it can increase the accuracy of a text classification system, and also enhance the search intelligence in a search engine. This can be done by enhancing the system with machine processable ontology.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aLiu, James N. K. _eautor _9319064
700	1		_aLee, Raymond S. T. _eautor _9327399
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9783642179150
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-642-17916-7 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942			_c14
999			_c303328 _d303328