Semantic Web Service Discovery Using Natural Language Processing Techniques

J Sangers, Flavius Frasincar, Frederik Hogenboom, V Chepegin

Research output: Contribution to journalArticleAcademicpeer-review

66 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)4660-4671
Number of pages12
JournalExpert Systems with Applications
Issue number11
Publication statusPublished - 2013

Research programs

  • EUR ESE 32


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