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Author:

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

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EI Scopus PKU CSCD

Abstract:

The authors provide a method based on an index and realize keyword search in the free form over relational databases. Using the saved knowledge, the authors create an index and improve the classic ranking strategy in Information Retrieval by assigning different weight values to attributes. Then the top-N answers are returned for a keyword query. Experimental results for a large real dataset indicate that the performance of the method is efficient and effective.

Keyword:

Search engines Large dataset

Author Community:

  • [ 1 ] [Zhu, Liang]Key Laboratory of Machine Learning and Computational Intelligence, School of Mathematics and Computer Science, Hebei University, Baoding 071002, Hebei, China
  • [ 2 ] [Ji, Shen-Da]Key Laboratory of Machine Learning and Computational Intelligence, School of Mathematics and Computer Science, Hebei University, Baoding 071002, Hebei, China
  • [ 3 ] [Liu, Chun-Nian]College of Computer Science, Beijing University of Technology, Beijing 100124, China
  • [ 4 ] [Yang, Wen-Zhu]Key Laboratory of Machine Learning and Computational Intelligence, School of Mathematics and Computer Science, Hebei University, Baoding 071002, Hebei, China

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Source :

Journal of Beijing University of Technology

ISSN: 0254-0037

Year: 2011

Issue: 6

Volume: 37

Page: 940-946

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 8

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