SynFinder: A System for Domain-Based Detection of Synonyms Using WordNet and the Web of Data
نویسندگان
چکیده
The detection of synonyms is a challenge that has attracted many contributions for the possible applications in many areas, including Semantic Web and Information Retrieval. An open challenge is to identify synonyms of a term that are appropriate for a specific domain, not just all the synonyms. Moreover, the execution time is critical when handling big data. Therefore, it is needed an algorithm which can perform accurately and fast in detecting domain-appropriate synonyms on-thefly. This contribution presents SynFinder which uses WordNet and the web of data. Given a term and a domain in input, WordNet is used for the retrieval of all the synonyms of the term. Then, synonyms which do not appear in web pages related to the domain are eliminated. Our experimentation shows a very good accuracy and computation performance of SynFinder, reporting a mean precision of 0.94 and an average execution time lower than 1 s.
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