Fuzzy Type - Ahead Keyword Search in RDF Data

被引：1

作者：

Kavila, Selvani Deepthi ^{[1
]}

Ravva, Ravi ^{[1
]}

Bandaru, Rajesh ^{[2
]}

机构：

[1] Anil Neerukonda Inst Technol & Sci, Dept Comp Sci & Engn, Visakhapatnam, Andhra Pradesh, India

[2] Gitam Univ, Dept Comp Sci & Engn, Visakhapatnam, India

来源：

PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON FRONTIERS OF INTELLIGENT COMPUTING: THEORY AND APPLICATIONS (FICTA) 2013 | 2014年 / 247卷

关键词：

Text Document; keyword search; Type a head fuzzy search;

D O I：

10.1007/978-3-319-02931-3_9

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Keyword search is the process of identifying relevant data the matches with keyword. If it produces more than one document as a search results, there will be ranking process. This paper explain a novel keyword search method on RDF data model, and use fuzzy technique extract results according to the query we passed. Proposed model can improves the storage and querying characteristics of the underlying RDF store. In addition to the above, the problem of fuzzy search on RDF model while typing key words. The results have supported the objective of the work.

引用

页码：67 / 73

页数：7

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