000			03537nas|a2200433 i 4500
005			20260818170604.0
008			040723s2003 th uzm rtt 00| a1eng d
035			_a.b11934815
099		9	_aAIT Thesis no.CS-03-22
100	0		_aJittiya Kaewprag
245	1	3	_aAn ontology mapping framework
260			_aPathum Thani, Thailand : _bAsian Institute of Technology, _c2003
300			_a57 p.
490	1		_aThesis ; _vno. CS-03-22
500			_aA thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Advanced Technologies
502			_aThesis (M.Eng.) - Asian Institute of Technology, 2003
520			_aThe Semantic Web becomes ever more important issue for the Web today. It relies strongly on formal ontologies to structure data for comprehensive and exchangeable machine understanding. Furthermore, information on the Web is naturally distributed. Each information source uses its own ontology to represent its data. An interoperability problem among different information sources is therefore a challenge issue on the Semantic Web. One way to overcome that problem is to provide a systematic way for mapping and merging ontologies. However, there are some limitations for recent related research. Most approaches are usually based on heuristic or syntactic clues to determine equivalence between ontologies. Thus, a new ontology mapping framework is proposed by applying a quantitative technique called semantic similarity measure to compute a similarity value between two concepts. The semantic similarity measure can be retrieved from properly combining three semantic factors consisting of the shortest path length between two concepts, the depth and the information content of a subsumer by using WordNet, an online lexical dictionary, as a semantic reference source. Besides, a new concept is also introduced, called the weight-based approach, to support strong semantic relation word pairs by adding weight into semantic similarity measures. Consequently, this technique displays a dramatic improvement over the previous research. Based on the proposed approach, the automatic financial report mapping system is developed as a demonstration system of its practical usage in a real-word domain. iii
650		0	_aOntology
650		0	_aHeterogeneous computing
700	0		_aVilas Wuwongse _eChairperson
700	1		_aSadananda, R. _eExamination Committee
700	0		_aVatcharaporn Esichaikul _eExamination Committee
710	2		_aThe Royal Thai Government Fellowship _eScholarship Donor
810	2		_aAsian Institute of Technology. _tThesis ; _vno. CS-03-22
856			_3Full-Text _u http://203.159.5.9/ait-thesis/detail.php?q=B11499
907			_a.b11934815 _bmnait _cu
902			_a240419
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