What is it about?
Users are used to keyword queries as they provide an easy way to express their information needs; however, such queries are inherently ambiguous (a lot of actual queries can be behind a set of keywords). In this work, we propose a method to disambiguate and interpret this kind of queries independently of the target query language (i.e., the query language used to access the data). Exploiting the knowledge in different ontologies (discovered at runtime), our approach takes into account three levels of semantics: the semantics of the keywords individually, the semantics of the keywords as a set, and the semantics of the target query languages (using semantically annotated grammars).
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This page is a summary of: QueryGen: Semantic interpretation of keyword queries over heterogeneous information systems, Information Sciences, February 2016, Elsevier,
DOI: 10.1016/j.ins.2015.09.013.
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