Title :
A Vector Based Algorithm for Semantic Web Services Ranking
Author :
Mola, Omid ; Emamian, Peyman ; Razzazi, Mohammadreza
Author_Institution :
Dept. of Comput. Eng. & IT, Amirkabir Univ. of Technol., Tehran
Abstract :
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.
Keywords :
Web services; semantic Web; ranking algorithm; semantic Web services; vector based algorithm; vector space model; Grounding; Humans; Monitoring; OWL; Ontologies; Performance analysis; Quality of service; Semantic Web; Space technology; Web services; Semantic Web Services; Web Service Ranking; Web Service Retrieval;
Conference_Titel :
Information and Communication Technologies: From Theory to Applications, 2008. ICTTA 2008. 3rd International Conference on
Conference_Location :
Damascus
Print_ISBN :
978-1-4244-1751-3
Electronic_ISBN :
978-1-4244-1752-0
DOI :
10.1109/ICTTA.2008.4530333
