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Title: On the Combination of Textual and Semantic Descriptions for Automated Semantic Web Service Classification
Author(s): I. Katakis, G. Meditskos, G. Tsoumakas, N. Bassiliades, I. Vlahavas.
Availability: Click here to download the PDF (Acrobat Reader) file (10 pages).
Keywords: web service, semantic web, classification, machine learning, data mining, owls, text mining, text classification.
Appeared in: Proceedings of the 5th IFIP Conference on Artificial Intelligence Applications and Innovations (AIAI 2009), Springer, Thessaloniki, 2009.
Abstract: Semantic Web services have emerged as the solution to the need for automating several aspects related to service-oriented architectures, such as service discovery and composition, and they are realized by combining Semantic Web technologies and Web service standards. In the present paper, we tackle the problem of automated classification of Web services according to their application domain taking into account both the textual description and the semantic annotations of OWL-S advertisements. We present results that we obtained by applying machine learning algorithms on textual and semantic descriptions separately and we propose methods for increasing the overall classification accuracy through an extended feature vector and an ensemble of classifiers.
See also : Automated Web Service Classification


        This paper has been cited by the following:

1 Hongbing Wang; Yanqi Shi; Xuan Zhou; Qianzhao Zhou; Shizhi Shao; Bouguettaya, A.; , "Web Service Classification Using Support Vector Machine," Tools with Artificial Intelligence (ICTAI), 2010 22nd IEEE International Conference on , vol.1, no., pp.3-6, 27-29 Oct. 2010.
2 Chantal Cherifi, "Classification et Composition de Services Web: Une Perspective Réseaux Complexes", Universite De Corse-Pascal Paoli, PhD Thesis, December 2011
3 Hitesh Khandelwal, Fang Hao, Sarit Mukherjee, Ramana Rao Kompella, T.V. Lakshman, "CobWeb: A System for Automated In-Network Cobbling of Web Service Traffic", Technical Report 12-005, Computer Science Department, Purdue University, 2012, http://docs.lib.purdue.edu/cstech/1755/.
4 Lopez-Pellicer, Francisco J.; Rentería-Agualimpia, Walter; Nogueras-Iso, Javier; Javier Zarazaga-Soria, F.; Muro-Medrano, Pedro R.; "Towards an Active Directory of Geospatial Web Services", in: "Bridging the Geographic Information Sciences", Gensel, Jérôme; Josselin, Didier; Vandenbroucke, Danny; (Eds.); Springer, Lecture Notes in Geoinformation and Cartography, pp. 63-79, 2012.
5 Khandelwal, H., Hao, F., Mukherjee, S., Kompella, R.R., Lakshman, T.V., "CobWeb: In-network cobbling of web traffic", (2013) 2013 IFIP Networking Conference, IFIP Networking 2013, art. no. 6663509.
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7 HL Wang, YQ Shi, HB Wang, “Research and Implementation of Function-oriented Web Service Classification System”, Journal of Mini-Micro Systems, Shenyang Institute of Computing, 2013.
8 Chantal Cherifi, Jean-François Santucci, "On Topological Structure of Web Services Networks for Composition". In Int. Journal of Web Engineering and Technology, accepted, 2013.
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10 Amel Bennaceur, Falk Howar, Valérie Issarny, Richard Johansson, Alessandro Moschitti, Romina Spalazzese, Bernhard Steffen, Daniel Sykes, "Machine Learning for Emergent Middleware", Joint workshops on Intelligent Methods for Software System Engineering, Montpellier, France, 2012, Communications in Computer and Information Science, Volume 379 CCIS, 2013, Pages 16-29
11 GAN Yang - Ian, ZHAO Mei, NIU Sen, ZOU Guo – bing, “Service Classification Method under Cloud Simulation Environment Based on Data Mining”, Journal of Computer Simulation, 2014, Vol. 10, pp. 460-465.
12 Rozina Nisa, Usman Qamar, “A text mining based approach for web service classification”, Information Systems and e-Business Management, July 2014, DOI 10.1007/s10257-014-0252-5
13 Sharma, S.; Lather, J.S.; Dave, M., "Hybrid cognitive model for semantic discovery and selection of services," Cognitive Methods in Situation Awareness and Decision Support (CogSIMA), 2014 IEEE International Inter-Disciplinary Conference on, vol., no., pp.73,78, 3-6 March 2014, doi: 10.1109/CogSIMA.2014.6816543
14 Lacheheub Mohammed Nassim, Maamri Ramdane, “Intelligent Business Process Based Cloud Services”, New Contributions in Information Systems and Technologies, Advances in Intelligent Systems and Computing, Volume 354, Springer, 2015, pp 83-92.


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