Semantic indexing for question answering system

Kasturi Dewi Varathan, Tengku Mohd Tengku Sembok, Abdul Kadir Rabiah, Nazlia Omar

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

With the vast growth of various forms of digital data, automated indexing has become very important so that it enables the needs of the current users to be fulfilled. Keywords based indexing has failed to accommodate to the needs of the present demands. The representation of the document content as well as the indexing process is a crucial factor that ensures the success of retrieval process. Therefore, this research introduces a new approach in creating semantic indexing that uses Skolem representation which automatically indexes multiple documents into a single knowledge representation. This knowledge representation will then be used by the proposed question answering system in retrieving the answers as well as pointing to the documents the answer contains based on the user's query. The system managed to achieve 93.84% of recall and 82.92% of precision.

Original languageEnglish
Pages (from-to)261-274
Number of pages14
JournalMalaysian Journal of Computer Science
Volume27
Issue number4
Publication statusPublished - 2014

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Knowledge representation
Semantics

Keywords

  • Question answering
  • Semantic indexing
  • Skolem clauses
  • Skolem indexing

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Semantic indexing for question answering system. / Varathan, Kasturi Dewi; Sembok, Tengku Mohd Tengku; Rabiah, Abdul Kadir; Omar, Nazlia.

In: Malaysian Journal of Computer Science, Vol. 27, No. 4, 2014, p. 261-274.

Research output: Contribution to journalArticle

Varathan, Kasturi Dewi ; Sembok, Tengku Mohd Tengku ; Rabiah, Abdul Kadir ; Omar, Nazlia. / Semantic indexing for question answering system. In: Malaysian Journal of Computer Science. 2014 ; Vol. 27, No. 4. pp. 261-274.
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