Combining Schema and Level-Based Matching for Web Service Discovery

Due to the availability of huge number of Web services (WSs), finding an appropriate WS according to the requirement of a service consumer is still a challenge. In this paper, we present a new and flexible approach, called SeqDisc, that assesses the similarity between WSs. In particular, the approach exploits the Pr¨ufer encoding method to represent WSs as sequences capturing both semantic and structure information of service descriptions. Based on the sequence representation, we develop an efficient sequence-based schema matching approach to measure the similarity between WSs. A set of experiments is conducted on real data sets, and the results confirm the performance of the proposed solution.

• Type: Conference
• Year: 2010
• Where: ICWE
• Authors: Alsayed Algergawy, Richi Nayak, Norbert Siegmund, Veit Köppen, Gunter Saake
• Keywords: ICWE 2010, Internet Technology, Pr¨ufer Encoding Method, Schema Matching Approach, flexible Approach