본문 바로가기
  • Home

Semantic-based Keyword Search System over Relational Database

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2013, 18(12), pp.91-101
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

양영휴 1

1한양여자대학교

Accredited

ABSTRACT

One issue with keyword search in general is its ambiguity which can ultimately impact the effectiveness of the search in terms of the quality of the search results. This ambiguity is primarily due to the ambiguity of the contextual meaning of each term in the query. In addition to the query ambiguity itself, the relationships between the keywords in the search results are crucial for the proper interpretation of the search results by the user and should be clearly presented in the search results. We address the keyword search ambiguity issue by adapting some of the existing approaches for keyword mapping from the query terms to the schema terms/instances. The approaches we have adapted for term mapping capture both the syntactic similarity between the query keywords and the schema terms as well as the semantic similarity of the two and give better mappings and ultimately 50% raised accurate results. Finally, to address the last issue of lacking clear relationships among the terms appearing in the search results, our system has leveraged semantic web technologies in order to enrich the knowledgebase and to discover the relationships between the keywords.

Citation status

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