Multilingual ontologies for cross-language information extraction and semantic search
David W. Embley, Stephen W. Liddle, Deryle W. Lonsdale, Yuri A. Tijerino · ScholarsArchive (Brigham Young University) · 2011
Abstract. Valuable local information is often available on the web, but encoded in a foreign language that non-local users do not understand. Can we create a system to allow a user to query in language L1 for facts in a web page written in language L2? We propose a suite of mul-tilingual extraction ontologies as a solution to this problem. We ground extraction ontologies in each language of interest, and we map both the data and the metadata among the language-specific extraction ontolo-gies. The mappings are through a central, language-agnostic ontology that allows new languages to be added by only having to provide one mapping rather than one for each language pair. Results from an im-plemented early prototype demonstrate the feasibility of cross-language information extraction and semantic search. Further, results from an ex-perimental evaluation of ontology-based query translation and extraction accuracy are remarkably good given the complexity of the problem and the complications of its implementation. 1