LPIS Home Page
Google Search

Title: Object-Oriented Similarity Measures for Semantic Web Service Matchmaking
Author(s): G. Meditskos, N. Bassiliades.
Availability: Click here to download the PDF (Acrobat Reader) file (10 pages).
Appeared in: Proc. 5th IEEE European Conf. on Web Services (ECOWS 2007), Halle (Saale), Germany, November 26-28, IEEE, 2007.
Abstract: The semantic annotation of Web services capabilities with ontological information aims at providing the neces-sary infrastructure for facilitating efficient and accurate service discovery. The main idea is to apply reasoning techniques over semantically enhanced Web service re-quests and advertisements in order to determine Web ser-vices that meet certain requirements. In this paper we present our work for introducing similarity measures in-spired from the domain of Object-Oriented paradigm for ontology concept matching. Our work focuses on the utili-zation of such measures over an Object-Oriented schema that is created through mapping rules of OWL constructs and semantics into the Object-Oriented model. The goal of the approach is to combine the Object-Oriented repre-sentation of the information and the reasoning over OWL semantics in order to enhance the retrieval of semanti-cally relevant, to some criteria, Web services.
See also :

        This paper has been cited by the following:

1 Benjamin Kanagwa, Th.P van der Weide, "A Predicate Logic Approach for Service Request Satisfaction, Similarity, Reasoning and Construction", Technical Report, Radboud University Nijmegen, Institute for Computing and Information Sciences (iCIS), 2008.
2 Sun P., Jiang C.-J., "Using service clustering to facilitate process-oriented semantic web service discovery", Jisuanji Xuebao/Chinese Journal of Computers, 31(8), 2008, pp. 1340-1353.
3 Elvys Alves Soares, "Descoberta e Composicao de Servicos Web Semanticos Atraves de Algoritmo Genetico Baseado em Tipos Abstratos de Dados", MSc Thesis, Universidade Federal de Alagoas Instituto de Computacao, Brazil, 2009.
4 Benjamin Kanagwa, Design, Discovery and Construction of Service-oriented Systems, PhD Thesis, Radboud University Nijmegen, Netherlands, April 2009.
5 Chen Qian, Xiang Yang, Wei Wei, "Overview of methods for concept matching", Application Research of Computers, vol. 27, no. 4, April 2010
6 Kanagwa, Benjamin and Lumaala, Agnes F.N. Discovery of Services Based on WSDL Tag Level Combination of Distance Measures. International Journal of Computing and ICT Research, Vol. 5, Special Issue, December 2011, pp 17-24.
7 Li Gexin Tong Fengming Wu Chenwen Xia Haijiang, An Improved Framework for Semantic Web Service Discovery, Computer Science Applications and Education, Vol.2, No.2, August 2012.
8 Shan, W., Zhou, J., Hu, H., Wang, P., Battlefield situational information discovery based on ontology, (2013) Proceedings - 2013 International Conference on Computer Sciences and Applications, CSA 2013, art. no. 6835699, pp. 719-722.
9 Tamer A. Farrag, Ahmed I. Saleh, Hesham A. Ali, "Towards SWSs Discovery: Mapping from WSDL to OWL-S Based on Ontology Search and Standardization Engine," (2013) IEEE Transactions on Knowledge and Data Engineering, 25 (5), art. no. 6152104, pp. 1135-1147.
10 Dan Wei, Chun Hong Zhang, Xin Ning Zhu, Service Selection Based on Rule and Statistics Model in WoT Smart Home, Applied Mechanics and Materials, Vol. 681, pp. 244-248, 2014.
11 Saeed Hassanpour, Martin J. OConnor, Amar K. Das, Clustering rule bases using ontology-based similarity measures, Web Semantics: Science, Services and Agents on the World Wide Web, Available online 19 March 2014, ISSN 1570-8268, http://dx.doi.org/10.1016/j.websem.2014.03.001.
12 Shalini. L, Femila goldy. R, Semantic Web Service Discovery Using Sense Match Making, IOSR Journal of Computer Engineering, 16(1), Ver. VII (Feb. 2014), pp. 102-106.