Multi-language Ontology-Based Search Engine

  • Authors:
  • Leyla Zhuhadar;Olfa Nasraoui;Robert Wyatt;Elizabeth Romero

  • Affiliations:
  • -;-;-;-

  • Venue:
  • ACHI '10 Proceedings of the 2010 Third International Conference on Advances in Computer-Human Interactions
  • Year:
  • 2010

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Abstract

One of the first Multi-Language Information Retrieval (MLIR) systems was implemented in 1969 by Gerard Salton who enhanced his SMART system to retrieve multilingual documents in two languages, English and German. However, the research field of MLIR is still struggling since the majority of information retrieval systems are monolingual and more precisely English-based, even though only 6% of the world’s population native language have as English [14]. This paper presents a Multi-Language Information Retrieval (MLIR) approach that falls into the area of Domain Specific Information Retrieval (E-learning being the domain). The approach we followed is a synergistic approach between (1) Thesaurus-based Approach and (2) Corpus-based Approach. This research has been implemented on a real platform called HyperManyMedia1 at Western Kentucky University.