Personalized Information Retrieval in a Semantic-based Learning Environment

View Sample PDF

Author(s): Antonella Carbonaro (University of Bologna, Italy)and Rodolfo Ferrini (University of Bologna, Italy)
Copyright: 2008
Pages: 19
Source title: Social Information Retrieval Systems: Emerging Technologies and Applications for Searching the Web Effectively
Source Author(s)/Editor(s): Dion Goh (Nanyang Technological University, Singapore)and Schubert Foo (Nanyang Technological University, Singapore)
DOI: 10.4018/978-1-59904-543-6.ch014

Keywords: Information Science Reference / Media & Communications / Social Computing / Social Networking

Purchase

View Personalized Information Retrieval in a Semantic-based Learning Environment on the publisher's website for pricing and purchasing information.

Abstract

Active learning is the ability of learners to carry out learning activities in such a way that they will be able to effectively and efficiently construct knowledge from information sources. Personalized and customizable access on digital materials collected from the Web according to one’s own personal requirements and interests is an example of active learning. Moreover, it is also necessary to provide techniques to locate suitable materials. In this paper, we introduce a personalized learning environment providing intelligent support to achieve the expectations of active learning. The system exploits collaborative and semantic approaches to extract concepts from documents and maintaining user and resources profiles based on domain ontologies. In such a way, the retrieval phase takes advantage from the common knowledge base used to extract useful knowledge and produces personalized views of the learning system.

The IRMA Community

Research IRM

Personalized Information Retrieval in a Semantic-based Learning Environment

Purchase

Abstract

Related Content

IRMA Sponsors