Modeling a Unified Virtual Market Platform Using Ontologies and User Characteristics
  IJCTT-book-cover
 		          
 
© 2020 by IJCTT Journal
Volume-68 Issue-6
Year of Publication : 2020
Authors : Daniel Khaoya Muyobo, Peters AnselemoIkoha, Franklin Wabwoba
DOI :  10.14445/22312803/IJCTT-V68I6P105

How to Cite?

Daniel Khaoya Muyobo, Peters AnselemoIkoha, Franklin Wabwoba, "Modeling a Unified Virtual Market Platform Using Ontologies and User Characteristics," International Journal of Computer Trends and Technology, vol. 68, no. 6, pp. 28-36, 2020. Crossref, https://doi.org/10.14445/22312803/IJCTT-V68I6P105

Abstract
In recent years the development of ontologies has been moving from the Artificial-Intelligence Laboratories to the desktops and smart phones of domain experts. The four areas that have been prominently responsible for creating the demand for the use of ontologies in computing include; information systems, domain engineering, artificial intelligence and the semantic web.In ontological design processes, factors, such as the purpose, intention and domain are very key. Hence, finding a common methodology for engineered ontology is difficult. Consequently, a market domain accommodates different user perspectives such as consumers, retailers, and producers. Ontologies for the different user perspectives need to be included in the design. Therefore, the purpose of this paper is to examine existing designer ontologies for designing virtual Market applications. The study adopted experimental research design, involving inferential data. It also employed cross-sectional survey design targeting designers, consumers and virtual market applications. The study used purposive sampling technique in selecting designers, consumers and virtual market applications from the sample frame. The data was collected through content analysis, questionnaires, focus group discussion and observation. The major findings were that though many applications are designed to make virtual market platform a reality, design factors such as payment modes, security and ontology mapping factors are not well addressing the need of the market. The studytherefore proposes a framework that can simplify the marketing platform and the access to products and usability of various Virtual Market applications.

Keywords
Ontologies, Virtual Market Platform, Virtual Applications, user characteristics

Reference
[1] Guizzardi, G. Ontological Foundations for Structural Conceptual Models. PhD Thesis, University of Twente, The Netherlands. TI-FRS No. 15, 2005
[2] Uschold, M. and Gruninger, M..Ontologies: principles, methods and applications. The Knowledge Engineering Review, Vol. 11 No. 2, pp. 93-136, 1996
[3] Jeong, S., et al. Validation of an Ontology-based Approach for Enhancing Human Simulation in General Assembly Environments. Proceedings of the World Congress on Engineering, III. London, 2010.
[4] Merriam-Webster Dictionary (2019 ). [online:www.m-w.com], captured in May, 2019.
[5] Mealy, G. H. “Another Look at Data,” Proceedings of the Fall Joint Computer Conference, November 14–16, Anaheim, California (AFIPS Conference Proceedings, Volume 31), Washington, DC: Thompson Books, London: Academic Press, 525–534, 1967.
[6] Smith, B. & Welty, C. (Eds.). Ontology: Towards a new synthesis, Chris Welty and Barry Smith, Formal Ontology in Information Systems, ACM Press, 2001
[7] Smith, B. Ontology: Philosophical and Computational , [online: http://ontology.buffalo.edu/ontology(PIC).pdf], capture in Ago/13, 2004.
[8] Arango, G,, Williams, G., & Iscoe, N. Domain Modeling for Software Engineering, Proceedings of ICSE: The International Conference on Software Engineering. ACM Press, Austin, Texas, 1991.
[9] Arango, G. Domain Analysis Methods, Workshop on Software Architecture, Los Angeles. Los Angeles: USC Center for Software Engineering, 1994.
[10] Kyoung-Yun Kim, et al. The Role of Ontology?based Assembly Modeling in Product Realization for Quality Management. International Conference on Product Lifecycle Management, 2010.
[11] Borgo S. How formal ontology can help civil engineers. In Ontologies for Urban Development: Interfacing Urban Information Systems , Teller J., Lee J., Roussey C. ed. University of Geneva 6,7 November 2006 . pp. 143-156. Studies in Computational Intelligence 61. Springer Verlag. ISBN 978-3-540-71975, 2007..
[12] Gómez-Pérez A., Fernandez-Lopez M., Corcho O. Ontological Engineer-ing with examples from the areas of Knowledge Management, e-Commerce and the Semantic Web. First Edition Series: Advanced Information and Knowledge Processing 1st ed. 2004. 2nd printing, 2004, XII, 403 p. 159 illus., Hardcover ISBN: 978-1-85233-551-9, 2004.
[13] Lassila O., McGuinness D. The Role of Frame-Based Representation on the Semantic Web Knowledge Systems Laboratory Report KSL-01-02, Stan-ford University, 2001; Also appeared as Linköping Electronic Articles in Computer and Information Science, Vol. 6, No. 005, Linköping University, 2001.
[14] Fonseca F., Egenhofer M., Davis C., and Borges K. Ontologies and Know-ledge Sharing in Urban GIS. Computer, Environment and UrbanSystemsx, 24(3): pp. 232-251. 2000.
[15] Caglioni M, Rabino G. Theoretical approach to urban ontology: a contribu-tion from urban system analysis. In Ontologies for Urban Development: Inter-facing Urban Information Systems , Teller J., Lee J., Roussey C. ed. Univer-sity of Geneva 6,7 November 2006 . pp. 143-156. Studies in Computational Intelligence 61. Springer Verlag . ISBN 978-3-540-71975, 2007
[16] Albers, M., et al. Agent Models and Different User Ontologies for an Electronic Market Place. Fourth International Conference on the Practical Application of Intelligent Agents and Multi-Agent Technology.2002
[17] VilchesBlázquez L.M., BernabéPoveda M.A., Suárez-Figueroa M.C., Gómez-Pérez A., Rodríguez Pascua A.F. Towntology&hydrOntology: Rela-tionship between Urban and Hydrographic Features in the Geographic Infor-mation Domain. In Ontologies for Urban Development: Interfacing Urban In-formation Systems , Teller J., Lee J., Roussey C. ed. University of Geneva 6,7 November 2006 . pp. 143-156. Studies in Computational Intelligence 61. Springer Verlag. ISBN 978-3-540-71975, 2007
[18] Chakrabarty, S., Chougule, R, and Lesperance, R. Ontology-guided knowledge retrieval in an automobile assembly environment, The International Journal of Advanced Manufacturing Technology, vol. 44, pp. 1237-1249, 2009.
[19] Zdravkovi, M., and Trajanovi, M. Integrated Product Ontologies for InterOrganizational Networks. ComSIS Vol. 6, No. 2, December 2009. UDC 004.72, DOI: 10.2298/csis0902029Z.
[20] Yin, R. K. Case Study Research - Design and Methods (3rd ed.). Thousand Oaks: California-Sage., 2003.
[21] Gupta, M., & Gupta D. Research Methodology, Eastern Economy , printers Private Limited, New Dehl,
[22] Bhattacherjee, A. (2012). Social Science Research: Principles, Methods, and Practices. Textbooks Collection. Book 3. 2011.
[23] Kothari, C. R. . Research Methods: Methods and Techniques. New Delhi, India: New Age International LTD, 2010.
[24] Christian O., Maximilian L., & Gerald W. Usability in Chemical Engineering ProcessEng Engineering GmbH, Jörgerstraße 56-58, vol.13 1170 Wien, Austria, 2010.
[25] Leach, C. W., van Zomeren, M., Zebel, S., Vliek, M. L. W., Pennekamp, S. F., Doosje, B., Spears, R. . Group-Level Self-Definition and Self-Investment: A Hierarchical (Multicomponent) Model of In-Group Identification. Journal of Personality and Social Psychology, 95(1), 144–165, 2008. http://doi.org/10.1037/0022-3514.95.1.144
[26] Anselemo, P. Technical Factors and User Personality Characteristics as Indicators of Smart Phone integration into Self-Directed Learning in University. Research Thesis, MMUST, 2014 [27] S.Anusuya, K.Muthukumaran, “An Improving For Ranking Ontologies Based on the Structure and Semantics “, SSRG International Journal of Computer Science and Engineering Vol-2, issue-2 , 2015.