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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
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← Back to VOLUME 4, ISSUE 4, APRIL 2015

Efficient fuzzy type Ahead search in XML data

Prof. A.P.Kulkarni, Akash Chaporkar, Prathamesh Chavan, Harshad Dahiwadkar, Yogesh Kale

DOI: 10.17148/IJARCCE.2015.4411

Abstract: In conventional keyword based search system over Xml data, user takes a query, submit it to the system and getting relevant answer. User has limited knowledge about the data when issuing queries, and has to use a try and see approach for finding information. This paper focus on the survey of fuzzy type-ahead search in XML data which is a new information access paradigm in which the system search XML data on the fly a user type in query keyword. XML model capture more semantic information and navigates into document and display more relevant information. The keyword search is alternative method to search in XML data, which is easy to use, user doesn�t need to know about the XML data and query language. In this paper focus on the techniques used to retrieve the top-k result from the XML document more efficiently. Top-k relevant answer identify examine effective ranking function and early termination techniques achieves high search efficiency and result quality.



Keywords: Keyword Search System, Query, XML, Fuzzy.

How to Cite:

[1] Prof. A.P.Kulkarni, Akash Chaporkar, Prathamesh Chavan, Harshad Dahiwadkar, Yogesh Kale, “Efficient fuzzy type Ahead search in XML data,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2015.4411