Keyword search in relational databases

Jaehui Park; Sang goo Lee

doi:10.1007/s10115-010-0284-1

Keyword search in relational databases

Jaehui Park, Sang goo Lee

Department of Statistics

Seoul National University

Research output: Contribution to journal › Article › peer-review

38 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 language	English
Pages (from-to)	175-193
Number of pages	19
Journal	Knowledge and Information Systems
Volume	26
Issue number	2
DOIs	https://doi.org/10.1007/s10115-010-0284-1
State	Published - Feb 2011

Keywords

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

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10.1007/s10115-010-0284-1

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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.",

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KW - Top-k query Processing

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Keyword search in relational databases

Abstract

Keywords

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