Supporting the semi-automatic semantic annotation of web services: A systematic literature review |
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| Affiliation: | 1. Bilkent University, 06800 Bilkent, Ankara, Turkey;2. Middle East Technical University, 06800 Çankaya, Ankara, Turkey;1. DInf - Federal University of Paraná, CP: 19081, CEP: 81.531-980, Curitiba, Brazil;2. State University of Ceará, 1700 Dr. Silas Munguba Avenue, Fortaleza, Brazil;1. Center of Exact Sciences and Technology, Federal University of Recôncavo da Bahia, Cruz das Almas, BA, Brazil;2. Computer Science Department, Federal University of Bahia, Salvador, BA, Brazil;3. RiSE - Reuse in Software Engineering, Salvador, BA, Brazil;4. Computer Science Department, University of Brasilia, Brasilia, DF, Brazil;5. Computer Science Department, Federal University of Rio Grande do Norte, Natal, RN, Brazil;6. Department of EECS, University of Cincinnati, Cincinnati, OH, United States;1. College of Management and Economics, Tianjin University, Tianjin, China;2. Department of Information Technology and Decision Sciences, Old Dominion University, Norfolk, VA 23529, USA;3. College of Pearl River, Tianjin University of Finance and Economics, Tianjin, China;4. State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, China;1. Federal University of Ceará, Ceará, Brazil;2. Universidad ORT Uruguay, Montevideo, Uruguay;3. University of Valenciennes, LAMIH, UMR CNRS 8201, Valenciennes, France;4. Federal University of Rio de Janeiro, Rio de Janeiro, Brazil |
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| Abstract: | ContextSemantically annotating web services is gaining more attention as an important aspect to support the automatic matchmaking and composition of web services. Therefore, the support of well-known and agreed ontologies and tools for the semantical annotation of web services is becoming a key concern to help the diffusion of semantic web services.ObjectiveThe objective of this systematic literature review is to summarize the current state-of-the-art for supporting the semantical annotation of web services by providing answers to a set of research questions.MethodThe review follows a predefined procedure that involves automatically searching well-known digital libraries. As a result, a total of 35 primary studies were identified as relevant. A manual search led to the identification of 9 additional primary studies that were not reported during the automatic search of the digital libraries. Required information was extracted from these 44 studies against the selected research questions and finally reported.ResultsOur systematic literature review identified some approaches available for semantically annotating functional and non-functional aspects of web services. However, many of the approaches are either not validated or the validation done lacks credibility.ConclusionWe believe that a substantial amount of work remains to be done to improve the current state of research in the area of supporting semantic web services. |
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| Keywords: | Ontologies Semantic web services Functional and non-functional aspects Systematic literature review |
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