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Volume & Issue no: Volume 3, Issue 4, July - August 2014

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Title:
Mining Elucidate Objects and Analysis of Relationships on Wikipedia by Using a GFBP Method
Author Name:
Venkata Vinay Kumar C, M.A. Ranjit Kumar, Dr.Sai Satyanarayana Reddy
Abstract:
Abstract: Evaluating the proper and suitable relationships between sets of objects in the Wikipedia is a popular method in order to investigate and explain the strong and high relationships between objects. The relationships between two pairs of objects in Wikipedia are exists in two types. They are implicit relationship and another one is explicit relationship. The Implicit relationship in Wikipedia is denoted by a link structure comprising of two pages and an explicit relationship denoted by one link between pair of pages for the objects. Mining Elucidate objects is the popular way to investigate and find the correct relationship between objects. The Elucidate objects are the main objects which constructs a strong relationship between pair of objects in Wikipedia. The previous methods including inter-relation methods are insufficient in evaluating the relationships because they use only one or two of the main three notions: Path, link and reference. We propose a novel method using a generalized maximum flow pipe method which replicates all the three features. We confirm by experiments that this method can evaluate the strength of a relationship between objects more and Mine the elucidate objects more efficiently than the previous methods. Mining elucidate objects is the new way to understand a strong and high relationships between objects in Wikipedia. Index Terms: Elucidate objects, Relationship analysis, Generalized flow pipe, Wiki mining.
Cite this article:
Venkata Vinay Kumar C, M.A. Ranjit Kumar, Dr.Sai Satyanarayana Reddy , " Mining Elucidate Objects and Analysis of Relationships on Wikipedia by Using a GFBP Method" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) , Volume 3, Issue 4, July - August 2014 , pp. 118-127 , ISSN 2278-6856.
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International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
ISSN 2278-6856
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