Title: Web Service Clustering Using Relational Database Approach.
Authors: Liu, Jianxiao; Liu, Feng; Li, Xiaoxia; He, Keqing; Ma, Yutao; Wang, Jian
Abstract: In the era of service-oriented software engineering (SOSE), service clustering is used to organize Web services, and it can help to enhance the efficiency and accuracy of service discovery. In order to improve the efficiency and accuracy of service clustering, this paper uses the self-join operation in relational database (RDB) to realize Web service clustering. Based on storing service information, it does the self-join operation towards the Input, Output, Precondition, Effect (IOPE) tables of Web services, which can enhance the efficiency of computing services similarity. The semantic reasoning relationship between concepts and the concept status path are used to do the calculation, which can improve the calculation accuracy. Finally, we use experiments to validate the effectiveness of the proposed methods.
Subjects: WEB services; RELATIONAL databases; INFORMATION storage & retrieval systems; COMPUTER systems; CONCEPTUAL models
Publication: International Journal of Software Engineering & Knowledge Engineering, 2015, Vol 25, Issue 8, p1365
ISSN: 0218-1940
Publication type: Academic Journal
DOI: 10.1142/S021819401550028X

Web Service Clustering Using Relational Database Approach.

Liu, Jianxiao; Liu, Feng; Li, Xiaoxia; He, Keqing; Ma, Yutao; Wang, Jian