A Method of Designing Mobile User Model Using User Semantics and Personal Profile

Mydeen, AM and Srinivas, T and Giridharan, A (2020) A Method of Designing Mobile User Model Using User Semantics and Personal Profile. In: Proceedings of CONECCT 2020 - 6th IEEE International Conference on Electronics, Computing and Communication Technologies, 2- 4 July 2020, Bangalore.

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Abstract

Information and communication technologies have paved the way for the incredible growth in providing information services. Nevertheless, providing services for a mobile user in a mobile data network draws a major issue because of frequent change of context. In many works, it is good to see that services are provided by considering context of a user. But, providing services based on semantics of user still pose a big challenge especially in a Mobile Data Network (MDN). It necessitates systematic design of mobile user model of a user in terms of his/her interest, preference, location, time, history for providing exact services. At this juncture, we have designed the Mobile User Model (MUM) which provides phenomenal and optimal mobile data about a mobile user in a mobile data network. Undoubtedly, this mobile user model will pave the way for fine delivery of mobile data as a good response to a query raised by a mobile user in a mobile data network. We have a Query Generation Model (QGM to generate various queries based on the user's current needs based on this Mobile User Model for a mobile data network. We have given case studies of a mobile user model with different values for a user in a MDN. The accuracy and efficiency of our proposed model are shown with encouraging results which indicates the peculiar design of our Mobile User Model. We have presented our Mobile User Model using ontology to study the representation of knowledge in semantics and personal profile of a mobile user. © 2020 IEEE.

Item Type:	Conference Paper
Publication:	Proceedings of CONECCT 2020 - 6th IEEE International Conference on Electronics, Computing and Communication Technologies
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	The copyright for this article belongs to Institute of Electrical and Electronics Engineers Inc.
Keywords:	Information services, Case-studies; Information and Communication Technologies; Mobile data networks; Mobile user modeling; Mobile users; Personal profile; Query generation; Systematic designs, Semantics
Department/Centre:	Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited:	03 Feb 2023 05:20
Last Modified:	03 Feb 2023 05:20
URI:	https://eprints.iisc.ac.in/id/eprint/79835

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