Cover Image

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

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Mahmoud, M. A., Yusof, A., Ahmad, M. S.
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2017
Online Access:http://dspace.uniten.edu.my:80/jspui/handle/123456789/3208
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uniten.dspace-3208
record_format dspace
spelling my.uniten.dspace-32082018-01-25T01:03:09Z A Conceptual Multi-Agent Semantic Web Model of a self-Adaptive website for intelligent strategic marketing in learning institutions Mahmoud, M. A. Yusof, A. Ahmad, M. S. 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. 2017-10-25T04:34:49Z 2017-10-25T04:34:49Z 2017 Article http://dspace.uniten.edu.my:80/jspui/handle/123456789/3208 10.1109/ISAMSR.2016.7810016 en 2nd International Symposium on Agent, Multi-Agent Systems and Robotics, ISAMSR 2016 - Bangi, Malaysia Institute of Electrical and Electronics Engineers Inc.
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/
language English
description 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.
format Article
author Mahmoud, M. A.
Yusof, A.
Ahmad, M. S.
spellingShingle Mahmoud, M. A.
Yusof, A.
Ahmad, M. S.
A Conceptual Multi-Agent Semantic Web Model of a self-Adaptive website for intelligent strategic marketing in learning institutions
author_facet Mahmoud, M. A.
Yusof, A.
Ahmad, M. S.
author_sort Mahmoud, M. 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 2017
url http://dspace.uniten.edu.my:80/jspui/handle/123456789/3208
_version_ 1644493532226912256
score 13.211869

Similar Items