Title :
Web Service Discovery Using Lexical and Semantic Query Expansion
Author :
Shang-Pin Ma ; Chia-Hsueh Li ; Yao-Yu Tsai ; Ci-Wei Lan
Author_Institution :
Dept. of Comput. Sci. & Eng., Nat. Taiwan Ocean Univ., Keelung, Taiwan
Abstract :
Web service discovery is the process of locating web services to satisfy the requirements of service requesters, and as such, plays an important role to realize business-to-business interoperability. Today, many service discovery mechanisms are available, roughly classified into two categories: text-based service retrieval and ontology-based service matching. However, both kinds of service discovery approaches have their limitations in finding out suitable web services for users. Text-based approaches cannot reflect the semantics of the service capability. Ontology-based approaches are likely infeasible and non-scalable since service providers need to spend considerable efforts to annotate the service descriptions. This study proposes an approach to searching for web services, called LS3 (Lexical and Semantic Service Search) architecture. This proposed approach includes two main sub processes: query expansion and service ranking to enable the retrieval of relevant web services during the discovery process by considering lexical similarity and semantic similarity.
Keywords :
Web services; pattern matching; query processing; LS3 architecture; Web service discovery; lexical and semantic service search; lexical query expansion; lexical similarity; ontology-based service matching; query expansion; relevant Web services retrieval; semantic query expansion; semantic similarity; service ranking; text-based service retrieval; Business; Ontologies; Semantics; Service-oriented architecture; Tin; Vectors; Lexical and Semantic Query Expansion; Ontology Mapping; Service Discovery; Service Search;
Conference_Titel :
e-Business Engineering (ICEBE), 2013 IEEE 10th International Conference on
Conference_Location :
Coventry
DOI :
10.1109/ICEBE.2013.65