Multilingual Ontologies for Cross-Language Information Extraction and Semantic Search

  • David W. Embley
  • Stephen W. Liddle
  • Deryle W. Lonsdale
  • Yuri Tijerino
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6998)


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 L 1 for facts in a web page written in language L 2? We propose a suite of multilingual 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 ontologies. 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 implemented early prototype demonstrate the feasibility of cross-language information extraction and semantic search. Further, results from an experimental evaluation of ontology-based query translation and extraction accuracy are remarkably good given the complexity of the problem and the complications of its implementation.


Alcoholic Beverage Machine Translation Statistical Machine Translation Semantic Search Automatic Translation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • David W. Embley
    • 1
  • Stephen W. Liddle
    • 2
  • Deryle W. Lonsdale
    • 3
  • Yuri Tijerino
    • 4
  1. 1.Department of Computer ScienceBrigham Young UniversityProvoU.S.A.
  2. 2.Information Systems DepartmentBrigham Young UniversityProvoU.S.A.
  3. 3.Department of Linguistics and English LanguageBrigham Young UniversityProvoU.S.A.
  4. 4.Department of Applied InformaticsKwansei Gakuin UniversityKobe-SandaJapan

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