JOURNAL ARTICLE

FRISK: Keyword Query Cleaning and Processing in Action

Ken Q. PuXiaohui Yu

Year: 2009 Journal:   Proceedings - International Conference on Data Engineering Pages: 1531-1534   Publisher: Institute of Electrical and Electronics Engineers

Abstract

Keyword search provides a simple yet effective way for the users to query and explore the underlying documents. In the recent years, there have been a great deal of research and development activities on extending keyword search capabilities to handle relational data, the dominant form in which business data are stored. Algorithms and prototype systems, such as Discover, DBXplorer, BANKS, and SPARK, have been developed to support retrieving relevant information from relational databases using keyword queries.

Keywords:
Computer science Information retrieval Relational database SPARK (programming language) Keyword search Query expansion Simple (philosophy) Query language Query optimization Sargable Web search query Database Search engine Programming language

Metrics

8
Cited By
1.72
FWCI (Field Weighted Citation Impact)
8
Refs
0.88
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Database Systems and Queries
Physical Sciences →  Computer Science →  Computer Networks and Communications
Data Management and Algorithms
Physical Sciences →  Computer Science →  Signal Processing
Semantic Web and Ontologies
Physical Sciences →  Computer Science →  Artificial Intelligence

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