Abstract
In this paper we describe the process by which semantic relatedness assertions are discovered and defined between Web service operations. The general approach relies on a global ontology model that describes Web services. Obtaining semantic similarities between operations is performed by calculating eight semantic relatedness measures between all operations pairs. The entire process consists of: Web service parsing, Web service data extraction, automatic Web service ontology population, similarity measures calculation, similarity discovery; and finally, object property assertion between web service operations.
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The international standard organization for the World Wide Web.
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References
Budanitsky, A., Hirst, G.: Semantic distance in WordNet: an experimental, application-oriented evaluation of five measures. In: Workshop on WordNet and Other Lexical Resources, vol. 2, p. 2, June 2001
Wu, Z., Palmer, M.: Verbs semantics and lexical selection. In: Proceedings of the 32nd Annual Meeting on Association for Computational Linguistics, pp. 133–138. Association for Computational Linguistics (1994)
Lin, D.: An information-theoretic definition of similarity. In: Proceedings of the 15th International Conference on Machine Learning, pp. 296– 304. Morgan Kaufmann, San Francisco (1998)
Leacock, C., Chodorow, M.: Combining local context and WordNet similarity for word sense identification. WordNet: Electron. Lex. Database 49(2), 265–283 (1998)
Banerjee, S., Pedersen, T.: An adapted Lesk algorithm for word sense disambiguation using WordNet. In: Gelbukh, A. (ed.) CICLing 2002. LNCS, vol. 2276, pp. 136–145. Springer, Heidelberg (2002)
Lesk, M.: Automatic sense disambiguation using machine readable dictionaries: how to tell a pine cone from a ice cream cone. In: Proceedings of SIGDOC 1986 (1986)
Hirst, G., St-Onge, D.: Lexical chains as representations of context for the detection and correction of malapropisms. In: Fellbaum, C. (ed.) pp. 305–332 (1998)
Jiang, J.J., Conrath, D.W.: Semantic similarity based on corpus statistics and lexical taxonomy. In: Proceedings of International Conference on Research in Computational Linguistics, Taiwan (1997)
Resnik, P.: Using information content to evaluate semantic similarity. In: Proceedings of the 14th International Joint Conference on Artificial Intelligence, Montreal, pp. 448–453 (1995)
Dogac, A., Kabak, Y., Laleci, G.: Enriching ebXML registries with OWL ontologies for efficient service discovery. In: Proceedings of the 14th International Workshop on Research Issues on Data Engineering (RIDE 2004), pp. 69–76 (2004)
Paolucci, M., Kawamura, T., Payne, T.R., Sycara, K.: Semantic matching of web services capabilities. In: Horrocks, I., Hendler, J. (eds.) ISWC 2002. LNCS, vol. 2342, pp. 333–347. Springer, Heidelberrg (2002). doi:10.1007/3-540-48005-6_26
Kourtesis, D., Paraskakis, I.: Combining SAWSDL, OWL-DL and UDDI for semantically enhanced web service Discovery. In: Simperl, E., Cimiano, P., Polleres, A., Corcho, O., Presutti, V. (eds.) ESWC 2012. LNCS, vol. 7295, pp. 614–628. Springer, Heidelberg (2008). doi:10.1007/978-3-540-68234-9_45
Pilioura, T., Tsalgatidou, A.: Unified publication and discovery of semantic web services. ACM Trans. Web 3(3), 11–44 (2009)
Lee, Y.-J., Kim, C.-S.: A learning ontology method for RESTful semantic web services. In: Proceedings of the IEEE International Conference on Web Services (2011)
Sabou, M., Pan, J.: Towards semantically enhanced Web service repositories. J. Web Semant.: Sci. Serv. Agents World Wide Web 5, 142–150 (2007)
Linna, L.: The design of semantic web services discovery model based on multi proxy (2009)
Farrag, T., Saleh, A., Ali, H.: Mapping from traditional WS definitions into SWS Profile. In: 2nd International Conference on Computer Technology and Development (2010)
Pedrinaci, C., Liu, D., Maleshkova, M., Lambert, D., Kopecky, J., Domingue, J.: iServe: a linked services publishing platform. In: Paper Presented at the Workshop: Ontology Repositories and Editors for the Semantic Web at 7th Extended Semantic Web Conference, Heraklion, Crete (2010)
Yousefipour, A., Mohsenzadeh, M., Ghari Neiat, A., Sadegzadeh, M.: An ontology-based approach for ranking suggested semantic web services (2010)
Yu, J., Sheng, Q., Han, J., Wu, Y., Liu, C.: A semantically enhanced service repository for user-centric service discovery and management. Data and Knowl. Eng. 72, 202–218 (2011)
Xu, B., Luo, S., Sun, K.: Towards multimodal query in web service search (2012)
Loutas, N., Peristeras, V., Zeginis, D., Tarabanis, K.: The Semantic Service Search Engine (S3E). J. Intell. Inf. Syst. 38, 645–668 (2012)
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Bravo, M., Reyes-Ortiz, J.A., Alcántara-Ramírez, R., Sánchez, L. (2016). Semantic Enrichment of Web Service Operations. In: Montes y Gómez, M., Escalante, H., Segura, A., Murillo, J. (eds) Advances in Artificial Intelligence - IBERAMIA 2016. IBERAMIA 2016. Lecture Notes in Computer Science(), vol 10022. Springer, Cham. https://doi.org/10.1007/978-3-319-47955-2_4
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