Imss-E

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.

Semantic Nested Search Engine via Integration Ontology With Multi-Agent System

“…This engine is based on the Resource Description Framework (RDF) Ontology and supported both Arabic and English languages. Also, authors in reference [5] tried to support personalized ranking result of searching on the web depending on her/his browsing history IMSS-P (intelligent meta search personalized) tool to improve the performance of the search.…”

“…In references [4], [5] and many other research papers which enhanced search engines, the results are just Information Retrieve (IR); i.e. enhances retrieve the most appropriate hyperlinks.…”