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A Conceptual Multi-Agent Semantic Web Model of a self-Adaptive website for intelligent strategic marketing in learning institutions

Commerce; Intelligent agents; Marketing; Robotics; Sales; Semantic Web; Social networking (online); Societies and institutions; Web Design; Websites; Conceptual model; Dynamic website; Generator systems; Grouping process; Rendering engine; Semantic web models; Semantics web; Strategic marketing; Mul...

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Main Authors: Yusof A., Mahmoud M.A., Ahmad M.S.
Other Authors: 35185858900
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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spelling my.uniten.dspace-233382023-05-29T14:39:37Z A Conceptual Multi-Agent Semantic Web Model of a self-Adaptive website for intelligent strategic marketing in learning institutions Yusof A. Mahmoud M.A. Ahmad M.S. 35185858900 55247787300 56036880900 Commerce; Intelligent agents; Marketing; Robotics; Sales; Semantic Web; Social networking (online); Societies and institutions; Web Design; Websites; Conceptual model; Dynamic website; Generator systems; Grouping process; Rendering engine; Semantic web models; Semantics web; Strategic marketing; Multi agent systems Universities are continuously attempting to attract more customers via social media sites such as Facebook. However, the problem of inadequate marketing still remains. A prominent issue here is that the strategy of using different resources and contents to deliver information about the universities to their customers is inefficient because it does not solve the problem of identifying and delivering visitors' preferences. Consequently, we propose a conceptual model of a dynamic and self-Adaptive website design utilizing the concept of multi-Agent semantics web approach to include an intelligent strategic marketing for the website. The proposed model consists of five components which are, Agent Generator System; Preferences Model Base; Grouping Process; Ontology Library; Semantic Web; and Rendering Engine. The outcome of this paper is a Conceptual Multi-Agent Semantic Web Model that could be exploited to design a highly dynamic website that is expected to meet visitors' preferences. � 2016 IEEE. Final 2023-05-29T06:39:37Z 2023-05-29T06:39:37Z 2017 Conference Paper 10.1109/ISAMSR.2016.7810016 2-s2.0-85015005901 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015005901&doi=10.1109%2fISAMSR.2016.7810016&partnerID=40&md5=03dd5add9f833a38f734ec6e29fcfd9f https://irepository.uniten.edu.my/handle/123456789/23338 7810016 133 138 Institute of Electrical and Electronics Engineers Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Commerce; Intelligent agents; Marketing; Robotics; Sales; Semantic Web; Social networking (online); Societies and institutions; Web Design; Websites; Conceptual model; Dynamic website; Generator systems; Grouping process; Rendering engine; Semantic web models; Semantics web; Strategic marketing; Multi agent systems
author2 35185858900
author_facet 35185858900
Yusof A.
Mahmoud M.A.
Ahmad M.S.
format Conference Paper
author Yusof A.
Mahmoud M.A.
Ahmad M.S.
spellingShingle Yusof A.
Mahmoud M.A.
Ahmad M.S.
A Conceptual Multi-Agent Semantic Web Model of a self-Adaptive website for intelligent strategic marketing in learning institutions
author_sort Yusof A.
title A Conceptual Multi-Agent Semantic Web Model of a self-Adaptive website for intelligent strategic marketing in learning institutions
title_short A Conceptual Multi-Agent Semantic Web Model of a self-Adaptive website for intelligent strategic marketing in learning institutions
title_full A Conceptual Multi-Agent Semantic Web Model of a self-Adaptive website for intelligent strategic marketing in learning institutions
title_fullStr A Conceptual Multi-Agent Semantic Web Model of a self-Adaptive website for intelligent strategic marketing in learning institutions
title_full_unstemmed A Conceptual Multi-Agent Semantic Web Model of a self-Adaptive website for intelligent strategic marketing in learning institutions
title_sort conceptual multi-agent semantic web model of a self-adaptive website for intelligent strategic marketing in learning institutions
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806428290734358528
score 13.211869

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