A Vector Based Algorithm for Semantic Web Services Ranking

Omid Mola, Peyman Emamian, Mohammadreza Razzazi · 2008

In this paper, we will discuss a new approach for semantic Web services ranking. This helps users to find required services in a precise manner. In fact, this new approach represents a ranking algorithm based on vector space model (VSM). In this model, the user query and each of its related results (retrieved services) will be modeled as a vector. By using of this method, each service vector which is closer to the query vector will be ranked higher. There are no predefined rank values for web services in this system and ranks will be calculated dynamically, while users make their query to the system.

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