Article citationsMore>>

M. Fraihat, “Using Artificial Intelligence Techniques (Fuzzy Set) for Enhancing Semantic Web Services Discovery,” Master Thesis, Al-Balqa Applied University, Salt, 2009.

has been cited by the following article:

• TITLE: A New Matchmaking Algorithm Based on Multi-Level Matching Mechanism Combined with Fuzzy Set

  AUTHORS: Adnan I. Al Rabea, Muawiah M. A. Al Fraihat

  KEYWORDS: Semantic Similarity; Syntactic Similarity; Structure-Based Similarity; QoS Metrics; Fuzzy Set; WordNet; Ontology

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.5 No.3, March 29, 2012

  ABSTRACT: The lack of semantic parts, increasing the number of Web services in the Web, and syntactic-based search operation are the main problems of current Web service technologies, these factors make difficult for clients to find a required web service. This paper shows a matchmaking algorithm to discover Semantic Web Services that are satisfying client requirements. It depends on two factors that distinguish it from any conventional Web service discovery algorithm; the first one is using semantic matching technique to overcome shortcoming of keyword matching techniques, the second one is tying Quality of Service (QoS) metrics of Web Service (WS) with fuzzy words that are used in user’s request. At least fifty percent average gain in search relevancy is obtained when our matchmaking algorithm is applied to WSs that are actually matching the chosen fuzzy semantic theme.