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Q. Vu, B. Ooi, D. Papadias and A. Tung, “A Graph Method for Keyword-Based Se-lection of the Top-K Databases,” Proceedings of the ACM SIGMOD International Conference on Manage-ment of Data, Vancouver, 10-12 June 2008, pp. 915-926.

has been cited by the following article:

• TITLE: Chinese Keyword Search by Indexing in Relational Databases

  AUTHORS: Liang Zhu, Lijuan Pan, Qin Ma

  KEYWORDS: Relational Database; Chinese Keyword Search; Index; Ranking Strategy

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.5 No.12B, January 23, 2013

  ABSTRACT: In this paper, we propose a new method based on index to realize IR-style Chinese keyword search with ranking strategies in relational databases. This method creates an index by using the related information of tuple words and presents a ranking strategy in terms of the nature of Chinese words. For a Chinese keyword query, the index is used to match query search words and the tuple words in index quickly, and to compute similarities between the query and tuples by the ranking strategy, and then the set of identifiers of candidate tuples is generated. Thus, we retrieve top-N results of the query using SQL selection statements and output the ranked answers according to the similarities. The experimental results show that our method is efficient and effective.