Two levels semantic web service discovery
Yanbin Peng · 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery · 2010
In SOC research domain, many efforts have been paid in providing efficient service discovery algorithm. However, the performance of current service discovery method is not ideal. Therefore, this paper proposed two levels semantic web service discovery method. This method use semantic word in WordNet to annotate service and service interface, and then discovers target service within two levels. At the first level, compute service similarity degree; at the second level, compute service interface similarity degree. Threshold is used to eliminate unsatisfied service in every level. A serial experiments illustrate the proposed method can improve precision of service discovery and have good scalability.