Keyword search in relational databases

Jaehui Park, Sang goo Lee

Research output: Contribution to journalArticlepeer-review

37 Scopus citations

Abstract

This paper surveys research on enabling keyword search in relational databases. We present fundamental characteristics and discuss research dimensions, including data representation, ranking, efficient processing, query representation, and result presentation. Various approaches for developing the search system are described and compared within a common framework. We discuss the evolution of new research strategies to resolve the issues associated with probabilistic models, efficient top-k query processing, and schema analysis in relational databases.

Original languageEnglish
Pages (from-to)175-193
Number of pages19
JournalKnowledge and Information Systems
Volume26
Issue number2
DOIs
StatePublished - Feb 2011

Keywords

  • Information retrieval
  • Integration
  • Keyword search
  • Ranking model
  • Relational database
  • Top-k query Processing

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