In this book we introduce a system to ease the learning process using Semantic Web and Web mining techniques. The novelty of this approach is the definition of a mapping from HTML web page content data to RDF triples data that can be used to automatically extract knowledge from the different web pages. We further integrate our proposed system with a RDF query language (SPARQL) to enable the user search and integrate the previously stored RDF triples. The user may want to see the results visually and explore it as he/she wants, so we present the results as a data graph using data visualization tools.
Ahmed Badawy Fathebab
Author is an Assistant Lecturer at Computer Science Department, Faculty of Science, Minia University, Egypt.
Tarek M. Mahmoud
Tarek Abd El-Hafeez
Number of Pages:
LAP LAMBERT Academic Publishing
e-learning, Semantic Web, Web Mining, RDF triples data, HTML, Web page content, RDF query language, SPARQL
COMPUTERS / General