抽象的

Measure of Implicit Relationship between Words by Network Count

Keerthana.S.M, V.Rajakumareswaran

Searching Wikipedia is usually a better choice for a user to obtain knowledge of a single object than typical search engines. In Wikipedia, the knowledge of an object is gathered in a single page updated constantly by a number of volunteers. Two kinds of relationships exist between two objects in Wikipedia, an explicit relationship and an implicit relationship. Some of the previously proposed methods for measuring relationships are cohesion-based methods and the category grouping is not that much effective in calculating the relationship between pages. Thus this method does not obtain the accurate relationship between pages. So the proposed method makes use of the generalized maximum flow which calculates the gain function. The relationship and connectivy between objects is extracted using CFEC. The three important factors: distance, connectivity, and cocitation are calculated. The efficient category grouping makes use of tree construction. And is constructed by using the degree of relevance between the objects and the relationship is extracted. Thus the relevance calculation is effective in the proposed method than the typical search engine and other previous methods.