An improved hybrid semantic matching algorithm with lexical similarity |
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Authors: | Rongqun Peng Zhengkun Mi Lingjiao Wang |
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Affiliation: | (1) Digital Enterprise Research Institute, National University of Ireland, Galway, Ireland;(2) Digital Enterprise Research Institute, University of Innsbruck, Innsbruck, Austria |
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Abstract: | In this paper, we proposed an improved hybrid semantic matching algorithm combining Input/Output (I/O) semantic matching with
text lexical similarity to overcome the disadvantage that the existing semantic matching algorithms were unable to distinguish
those services with the same I/O by only performing I/O based service signature matching in semantic web service discovery
techniques. The improved algorithm consists of two steps, the first is logic based I/O concept ontology matching, through
which the candidate service set is obtained and the second is the service name matching with lexical similarity against the
candidate service set, through which the final precise matching result is concluded. Using Ontology Web Language for Services
(OWL-S) test collection, we tested our hybrid algorithm and compared it with OWL-S Matchmaker-X (OWLS-MX), the experimental
results have shown that the proposed algorithm could pick out the most suitable advertised service corresponding to user’s
request from very similar ones and provide better matching precision and efficiency than OWLS-MX. |
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