@article{(Open Science Index):https://publications.waset.org/pdf/4758,
	  title     = {Instance-Based Ontology Matching Using Different Kinds of Formalism},
	  author    = {Katrin Zaiß and  Tim Schlüter and  Stefan Conrad},
	  country	= {},
	  institution	= {},
	  abstract     = {Ontology Matching is a task needed in various applica-tions, for example for comparison or merging purposes. In literature,many algorithms solving the matching problem can be found, butmost of them do not consider instances at all. Mappings are deter-mined by calculating the string-similarity of labels, by recognizinglinguistic word relations (synonyms, subsumptions etc.) or by ana-lyzing the (graph) structure. Due to the facts that instances are oftenmodeled within the ontology and that the set of instances describesthe meaning of the concepts better than their meta information,instances should definitely be incorporated into the matching process.In this paper several novel instance-based matching algorithms arepresented which enhance the quality of matching results obtainedwith common concept-based methods. Different kinds of formalismsare use to classify concepts on account of their instances and finallyto compare the concepts directly.KeywordsInstances, Ontology Matching, Semantic Web
},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {3},
	  number    = {7},
	  year      = {2009},
	  pages     = {1716 - 1724},
	  ee        = {https://publications.waset.org/pdf/4758},
	  url   	= {https://publications.waset.org/vol/31},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 31, 2009},
	}