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

Simple item page
dc.citedby2
dc.contributor.authorYusof A.en_US
dc.contributor.authorMahmoud M.A.en_US
dc.contributor.authorAhmad M.S.en_US
dc.contributor.authorid35185858900en_US
dc.contributor.authorid55247787300en_US
dc.contributor.authorid56036880900en_US
dc.date.accessioned2023-05-29T06:39:37Z
dc.date.available2023-05-29T06:39:37Z
dc.date.issued2017
dc.descriptionCommerce; 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 systemsen_US
dc.description.abstractUniversities 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.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo7810016
dc.identifier.doi10.1109/ISAMSR.2016.7810016
dc.identifier.epage138
dc.identifier.scopus2-s2.0-85015005901
dc.identifier.spage133
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85015005901&doi=10.1109%2fISAMSR.2016.7810016&partnerID=40&md5=03dd5add9f833a38f734ec6e29fcfd9f
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23338
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitle2nd International Symposium on Agent, Multi-Agent Systems and Robotics, ISAMSR 2016
dc.titleA Conceptual Multi-Agent Semantic Web Model of a self-Adaptive website for intelligent strategic marketing in learning institutionsen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
Files
Collections
SCOPUS