Atilla ELCI

Work place: Dept. of Electrical-Electronics Engineering, Aksaray University, Turkey

E-mail: atilla.elci@gmail.com

Website:

Research Interests: Computational Science and Engineering, Computational Engineering, Computer systems and computational processes, Computer Networks

Biography

Atilla ELÇI is full professor and chairman of Electrical and Electronics Engineering at Aksaray University, Turkey. He served as full professor of computer engineering, the founding director of the Graduate School of Science and Technology, and the dean of Engineering Faculty at Toros University, Mersin, Turkey (July 2010 - June 2011) and at various other universities. He has organized or served in the committees of numerous international conferences. He has published over a hundred journals and conference papers; co-authored Composition of OWL-S based Atomic Processes - Towards a Semantic-based Workflow Model (LAP Lambert, 2011); edited Semantic Agent Systems (Springer, 2011), Theory and Practice of Cryptography Solutions for Secure Information Systems (IGI, 2013) and Handbook of Applied Learning Theory and Design in Modern Education (IGI, 2016); proceedings SIN 2007, 2009 - 2015 by ACM, ESAS 2006-15 by IEEE CS, and IJRCS 2009; and various special issues and book chapters. He was the program chair for the 36th IEEE CS COMPSAC (2012) and standing committee member since then. He is an associate editor of Expert Systems: The Journal of Knowledge Engineering and editorial board member of several other journals. He obtained B.Sc. in Computer/Control Engineering at METU, Ankara, Turkey (1970), M.Sc. & Ph.D. in Computer Sciences at Purdue University, USA (1973, 1975).

Author Articles
Web Services Matchmaking Based on a Partial Ontology Alignment

By Aissa FELLAH Mimoun Malki Atilla ELCI

DOI: https://doi.org/10.5815/ijitcs.2016.06.02, Pub. Date: 8 Jun. 2016

The fast development and the huge number of existing web services have raised the problem of the urgent need for matchmaking mechanisms. However state-of-the-art matchmakers are unsuitable for locating web services that use different ontologies. This aspect is important since it is not realistic to assume that Web services will always be defined by the same ontology, as the Web service requester and provider operate independently, each defines their own ontologies to describe their services. This is an emergent research issue that has not been well addressed. This work is a contribution to achieve semantic interoperability in a multi-ontology environment. This paper describes a Web service multi-ontology matchmaker for SAWSDL services, called SAWSDL-MOM which locates web services that use different ontologies. The matchmaker engine incorporates a novel partial ontology alignment algorithm with syntax, linguistic and original structural matchers. In determining the 1:1 mappings the Hungarian algorithm is used. Finally a matchmaking strategy is utilized in finding the score of each service. Experimental evaluation and comparison provide strong evidence that SAWSDL-MOM can significantly improve results, achieve better interoperability and scalability.

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