Building quick service query list using wordnet for automated service composition

Current existing semantic composition methods mainly rely on ontology reasoning to support automated service composition. However, in reality, ontologies are generally unavailable or ontology reasoning is time-consuming; thus existing semantic composition methods are becoming impractical in the general service integration field. To address this problem, in this paper, we present an innovative composition technique by combining Wordnet with ontologies together to build an extended quick service query list (EQSQL) for supporting automated service composition. In EQSQL, data structures are designed particularly to record service information and their associated semantic concepts by previously processing semantic-related computing during service publication stage. Based on EQSQL, not only a quick response can be achieved, but the semantically-similar composition quality as well even if there is a lack of concrete domain-dependent ontologies for a user query.