Query translation for ontology-extended data sources
Jie Bao, Doina Caragea, Vasant Honavar · 2007
The problem of translating a query specified in a user data content ontology into queries that can be answered by the individual data sources is an important challenge in data in-tegration in e-science applications. We develop the notions of semantics-preserving query translation and maximally in-formative query translation in such a setting. We describe an algorithm for maximally informative query translation and its implementation in INDUS, a suite of open source software tools for integrated access to semantically heterogeneous data sources. We summarize experimental results that demon-strate the scalability of the proposed approach with very large ontologies and mappings between ontologies.