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Author:

Zhu, Liang (Zhu, Liang.) | Ji, Shen-Da (Ji, Shen-Da.) | Yang, Wen-Zhu (Yang, Wen-Zhu.) | Liu, Chun-Nian (Liu, Chun-Nian.)

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EI Scopus

Abstract:

In this paper, we propose a new method to realize free-form keyword search over a relational database. The basic idea of the method is based on a knowledge base that stores the related information of tuples in the database. Using the saved knowledge, we create an index and improve the classic ranking strategy in Information Retrieval; then the top-N answers will be returned for a keywords query by the index and improved ranking strategy. Experimental results on a large real dataset indicate that the performance of the method is efficient and effective. © 2009 IEEE.

Keyword:

Relational database systems Large dataset Knowledge based systems Query processing Machine learning Search engines

Author Community:

  • [ 1 ] [Zhu, Liang]Machine Learning Center, School of Mathematics and Computer Science, Hebei University, Baoding 071002, China
  • [ 2 ] [Ji, Shen-Da]Machine Learning Center, School of Mathematics and Computer Science, Hebei University, Baoding 071002, China
  • [ 3 ] [Yang, Wen-Zhu]Machine Learning Center, School of Mathematics and Computer Science, Hebei University, Baoding 071002, China
  • [ 4 ] [Liu, Chun-Nian]College of Computer Science and Technology, Beijing University of Technology, Beijing, 100022, China

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Year: 2009

Volume: 3

Page: 1528-1533

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 10

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