An intelligent approach for the design and development of a personalized system of knowledge representation

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.

• Autores: Amelec, Viloria; Pineda Lezama, Omar Bonerge
• Tipo de recurso: Article of journal
• Fecha de publicación: 2019
• Institución: Corporación Universidad de la Costa
• Repositorio: REDICUC - Repositorio CUC
• Idioma: eng
• OAI Identifier: oai:repositorio.cuc.edu.co:11323/4829
• Acceso en línea: https://hdl.handle.net/11323/4829; https://repositorio.cuc.edu.co/
• Palabra clave: Adaptive hypermedia; Ontologies; Knowledge representation; User modeling; Interface design tools; Teaching on the web; Algorithm for advanced cluster vector page ranking; Hipermedia adaptativa
• Rights: openAccess
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/