Semantic Web service discovery using natural language processing techniques

Authors:
Jordy Sangers;Flavius Frasincar;Frederik Hogenboom;Vadim Chepegin
Affiliations:
Erasmus University Rotterdam, P.O. Box 1738, 3000 DR, Rotterdam, The Netherlands;Erasmus University Rotterdam, P.O. Box 1738, 3000 DR, Rotterdam, The Netherlands;Erasmus University Rotterdam, P.O. Box 1738, 3000 DR, Rotterdam, The Netherlands;Tie Kinetix, P.O. Box 3053, 2130 KB, Hoofddorp, The Netherlands
Venue:
Expert Systems with Applications: An International Journal
Year:
2013

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Abstract

This paper proposes a semantic Web service discovery framework for finding semantic Web services by making use of natural language processing techniques. The framework allows searching through a set of semantic Web services in order to find a match with a user query consisting of keywords. By specifying the search goal using keywords, end-users do not need to have knowledge about semantic languages, which makes it easy to express the desired semantic Web services. For matching keywords with semantic Web service descriptions given in WSMO, techniques like part-of-speech tagging, lemmatization, and word sense disambiguation are used. After determining the senses of relevant words gathered from Web service descriptions and the user query, a matching process takes place. The performance evaluation shows that the three proposed matching algorithms are able to effectively perform matching and approximate matching.