Multi-lingual Web Querying: A Parametric Linguistics Based Approach

  • Epaminondas Kapetanios
  • Vijayan Sugumaran
  • Diana Tanase
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3999)


Developing efficient and meaningful search mechanisms for the Web is an active area of research in Information Management. With information explosion on the Internet, existing search engines encounter difficulty in accurate document positioning and retrieval. This situation is exacerbated by the language barrier for accessing web content provided in different languages. Sophisticated content-based search engines are needed for helping users find useful information quickly from multilingual knowledge sources on the Web. This paper presents a parametric linguistics based approach for flexible and scalable multilingual web querying with low complexity in query translation. The proposed methodology and the system architecture are discussed.


Natural Language Search Engine Noun Phrase Query Term Query Expansion 
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 2006

Authors and Affiliations

  • Epaminondas Kapetanios
    • 1
  • Vijayan Sugumaran
    • 2
  • Diana Tanase
    • 1
  1. 1.School of Computer ScienceUniversity of WestminsterLondonUK
  2. 2.Department of Decision and Information Sciences, School of Business AdministrationOakland UniversityRochesterUSA

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