Title
An Intelligent Approach For The Design And Development Of A Personalized System Of Knowledge Representation
Abstract
This article proposes a generic presentation system for hypermedia systems of adaptive teaching that is highly independent from the representation of domain knowledge and the application state maintenance. Generality is achieved by providing an application framework for the definition of ontologies that best fit a domain or a specific author. The presentation of the pages to be generated is described in terms of classes and relationships of the ontology. For this purpose, a web page ranking algorithm based on automatic learning is used, specifically, the algorithm for Advanced Cluster Vector Page Ranking (ACVPR). This algorithm provides the user a powerful meta-search tool that presents a ranking order of the web page to quickly meet custom needs, especially when the search is erroneous or incomplete. (C) 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the Conference Program Chairs.
Year
DOI
Venue
2019
10.1016/j.procs.2019.04.176
10TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT 2019) / THE 2ND INTERNATIONAL CONFERENCE ON EMERGING DATA AND INDUSTRY 4.0 (EDI40 2019) / AFFILIATED WORKSHOPS
Keywords
DocType
Volume
adaptive hypermedia, ontologies, knowledge representation, user modeling, interface design tools, teaching on the web, algorithm for advanced cluster vector page ranking
Conference
151
ISSN
Citations 
PageRank 
1877-0509
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Amelec Viloria146.81
Omar Bonerge Pineda Lezama210.69