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An Approach Of Ontology Align Based On Taxonomy

Posted on:2007-07-31Degree:MasterType:Thesis
Country:ChinaCandidate:Y X ChenFull Text:PDF
GTID:2178360185966943Subject:Computer software and theory
Abstract/Summary:PDF Full Text Request
Different organization of the same domain use different ontology, it bacomes very essential to use some ontology together, therefore ontology should be aligned. At present the researchers proposed many technology about ontology match, these technologies were mainly used in one-to-one ontology match.Simultaneously people propose a higher request about ontology match,such as the match result could be more precise and so on. For obtaining the more precise result of ontology match,one request is to process single entity in one ontology matched one group of entities in another ontology under complex situation,it is called one-to-more match.One-to-more ontology match exists mainly in the ontology which is organized in taxonomy,this article takes the view and proposes to solve the question by using the definition of taxonomy. The semantic match method has the merit of using official semantic, it is suited to solve one-to-more ontology match.According to some characteristics of taxonomy,we define the theorem which will be used in the process of match. First, we explain the entity in the ontology by using the definition of taxonomy ,then obtain the entity concept. We suppose the semantic relation between entities and transformate it to the proposition formula, then run the SAT(propositional satisfiability) to confirm whether this formula is valid and obtain the result of one-to-one ontology match. Second, using the result of the one-to-one ontology match, we obtain the result of the one-to-more match by using the taxonomy theorem. Finally,we realize a prototype system, and mainly accomplish this part of discoverying one-to-more match.At present, the semantic match method has CTXmatch, it only limits to in the concept structure. S-Match is an upgrading system of...
Keywords/Search Tags:Ontology Align, One-to-More Match, Semantic Match, Taxonomy
PDF Full Text Request
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