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A Study on the Performance Evaluation of Semantic Retrieval Engines

  • Journal of the Korean Biblia Society for Library and Information Science
  • 2011, 22(2), pp.141-160
  • Publisher : Journal Of The Korean Biblia Society For Library And Information Science
  • Research Area : Interdisciplinary Studies > Library and Information Science

Younghee Noh 1

1건국대학교

Accredited

ABSTRACT

This study suggested knowledge base and search engine for the libraries that have the large- scaled data. For this purpose, 3 components of knowledge bases(triple ontology, concept-based knowledge base, inverted file) were constructed and 3 search engines(search engine JENA for rule-based reasoning, Concept-based search engine, keyword-based Lucene retrieval engine) were implemented to measure their performance. As a result, concept-based retrieval engine showed the best performance, followed by ontology-based Jena retrieval engine, and then by a normal keyword search engine.

Citation status

* References for papers published after 2022 are currently being built.

This paper was written with support from the National Research Foundation of Korea.