AIMO Translator: Bridging the Gap between Semantic Web Service Discovery and Composition

Semantic Web service discovery and Semantic Web service composition can be considered as complementary techniques. Overcoming both those obstacles is the key to automatic generation of executable Semantic Web services process. In this paper, we propose a translator to realize the AIMO framework which is based on an AI-planning based approach called HTN-DL and Web Service Modeling Ontology (WSMO) that provides Semantic Web service discovery and composition. The AIMO Translator consists of four algorithms to translate each WSMO elements into corresponding elements of HTN-DL. Moreover, the proposed translator has been implemented and tested and the result shows that the AIMO Translator is performed and usable.