Query translation for ontology-extended data sources

Jie Bao, Doina Caragea, Vasant Honavar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations


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 integration in e-science applications. We develop the notions of semantics-preserving query translation and maximally informative 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 demonstrate the scalability of the proposed approach with very large ontologies and mappings between ontologies.

Original languageEnglish (US)
Title of host publicationSemantic e-Science - Papers from the 2007 AAAI Workshop, Technical Report
Number of pages8
StatePublished - 2007
Event2007 AAAI Workshop - Vancouver, BC, Canada
Duration: Jul 22 2007Jul 23 2007

Publication series

NameAAAI Workshop - Technical Report


Other2007 AAAI Workshop
CityVancouver, BC

All Science Journal Classification (ASJC) codes

  • General Engineering


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