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International Journal Of Data Mining And Emerging Technologies
Year : 2012, Volume : 2, Issue : 1
First page : ( 1) Last page : ( 7)
Print ISSN : 2249-3212. Online ISSN : 2249-3220.
Article DOI : 10.5958/j.2249-3212.2.1.001

Efficient Search Structures for Wikipedia based on User Communities

Sadasivam G. Sudha1,*, Krishnamoorthy Niveda2,**, R. Radhakrishnan2,***

1Professor, Computer Science and Engineering, PSG College of Technology, Peelamedu, Coimbatore-641004, India

2UG Student, Computer Science and Engineering, PSG College of Technology, Peelamedu, Coimbatore-641004, India

*Email id: sudhasadhasivam@yahoo.com

**Email id: niveda.krishnamoorthy@gmail.com

***Email id: radhakrishnan1993@gmail.com

Online published on 16 August, 2012.


Wikipedia is a free, web-based encyclopaedia with over 3.5 million articles in English. The graph structure of Wikipedia contains the articles as nodes and the links between the articles as the edges. In Wikipedia information is maintained using MySQL schemas. The problem with relational systems is that it is not suitable to maintain adhoc, dynamic, complex and deeply associative information. The vast amount of information in Wikipedia requires the use of specialised databases and data structures to enable efficient search. This paper proposes persistent and in-memory structures for Wikipedia articles considering both the link and content information. Further personalisation and improvement of search efficiency can be brought about by group personalisation. Personalisation at the user level and group level are considered. It maps the persistent structure consisting of group and community information to in-memory B+ Tree graph structure for a particular user. Experimental results demonstrate the efficiency of the proposed approach.



Wikipedia Search, User Communities, Key Value Stores, In-memory Structures.


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