Ontology based keyword dictionary server for semantic service discovery

Web service discovery relies on matching between the description of service functionality and the user requirement. To minimize the gap between service description and user requirement, it is effective to expand query keywords with domain-specific ontologies and make use of the extended keywords in service discovery. In this paper, we propose the keyword dictionary server that supports ontology modeling, keyword expansion, and similarity calculation between ontology terms with reasoning. It expands the synonyms and hyponyms of query keywords and can help to discover the suitable services to meet the user´s query intention. Also we present the performance measurement result of keyword dictionary server to verify deployment performance of server that provides REST interfaces. Our keyword dictionary server can support semantic service discovery by matching between the user query and service description through the keywords expansion.