International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Survey Paper | Computer Science & Engineering | India | Volume 4 Issue 12, December 2015


Diversifies XML Keyword Search Based on its Different Contexts in the XML Data

Pooja Chudiwal | A. C. Lomte [2]


Abstract: Newly, search has concerned a great deal of attention in XML database. It is inflexible to directly improve the XML search Processing. XML Search by Constructing Effective Structured Queries. An efficient search method for data centric general documents. It has become a everywhere method for users to access text data in the face of information detonation. In which give an overview of the state-of-the-art techniques for sustaining search on structured and semi-structured data [2], including query result definition, result generation and top-k query processing, query cleaning, performance optimization, and search quality evaluation. The uncertainty of query, makes it difficult to effectively answer queries. To address this problem, propose an approach that diversifies XML search based on XML data. In this firstly define the new problem of studying top-k search over XML data, which is to recover k SLCA results [9] with the k highest probabilities of existence and search candidates of the query by a simple selection model then design an effective XML search diversification reproduction for the qualification of query candidate and then propose two efficient algorithms are compute top-k experienced query candidates as the diversified search intentions. Two selection criteria are targeted. At last, the valuation on real data sets demonstrates the effectiveness of diversification model and the good organization of algorithms.


Keywords: Extensive markup language XML, Search Engine, Context-based diversification


Edition: Volume 4 Issue 12, December 2015,


Pages: 2250 - 2254


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