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Please use this identifier to cite or link to this item: http://dspace.library.iitb.ac.in/jspui/handle/100/2102

Title: Optimal learning of ontology mappings from human interactions
Authors: SEN, S
FERNANDES, D
SARDA, NL
Issue Date: 2007
Publisher: SPRINGER-VERLAG BERLIN
Citation: ON THE MOVE TO MEANINGFUL INTERNET SYSTEMS 2007: COOPLS, DOA, ODBASE, GADA, AND IS, PT 1, PROCEEDINGS,49803,1025-1033
Abstract: Lexical similarity based ontology mappings are useful to obtain semantic translations of database schemas across application domains. Incremental improvement of such mappings can be obtained from human inputs of ontology mapping. Manual mappings are labor intensive and need to be assisted by machine-generated mappings in a semi-automated approach. Heuristics based approaches allow multiple strategies to learn human expertise in concept mappings. Such learning improves the level of automation of the mapping process. We analyze heuristics based Bayesian learning of manual mappings to improve effectiveness of machine-generated mappings. Our results show that human based mappings contribute higher improvement in the machine-generated values of lexical similarity in comparison to those of structural similarity. The optimal weightage for structural similarity learning is inversely proportional to the complexity of given ontology graphs.
URI: http://dspace.library.iitb.ac.in/xmlui/handle/10054/15336
http://hdl.handle.net/100/2102
ISBN: 978-3-540-76846-3
ISSN: 0302-9743
Appears in Collections:Proceedings papers

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