Title: Measuring business entities in multi-ontologies

Authors: Arif Bramantoro; Reem K. Alshammari; Alaa Omran Almagrabi

Addresses: Faculty of Computing and Information Technology, King Abdulaziz University, Rabigh 21911, Saudi Arabia ' National Satellite Technology Center, King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia ' Faculty of Computing and Information Technology, King Abdulaziz University, Rabigh 21911, Saudi Arabia

Abstract: One of the most important tasks for business entity is to make its service available for users' requests through the web. The semantic description of business entity needs to be developed to enhance the matching process between users' requests and the best advertised services. The modern business entities typically have semantic relations represented in multi-inheritance ontologies. This paper argues that the relation between business entities in multi-ontologies can be measured to provide better matching results based on the similarity between the requested and advertised business entities within all ontologies. We propose a business entity distance measure that represents a quantitative result. During the evaluation, a matching engine was developed based on web service modelling ontology technologies and validated by using business scenarios. We established that business entity distance measure is suitable for finding various degrees of matching between requested and advertised business entities.

Keywords: business entity; WSMO; web service modelling ontology; semantic distance; multi-ontologies; quantitative measure.

DOI: 10.1504/IJEB.2017.086114

International Journal of Electronic Business, 2017 Vol.13 No.4, pp.342 - 358

Received: 15 Feb 2017
Accepted: 05 May 2017

Published online: 16 Aug 2017 *

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