ACM Transactions on Internet Technology (TOIT)
Introduction to Multiagent Systems
Introduction to Multiagent Systems
Sesame: A Generic Architecture for Storing and Querying RDF and RDF Schema
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
Building a Recommender Agent for e-Learning Systems
ICCE '02 Proceedings of the International Conference on Computers in Education
Design and Implementation of a High-Performance Distributed Web Crawler
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Hibernate in Action (In Action series)
Hibernate in Action (In Action series)
Professional Java Development with the Spring Framework
Professional Java Development with the Spring Framework
Lucene in Action (In Action series)
Lucene in Action (In Action series)
WBE'06 Proceedings of the 5th IASTED international conference on Web-based education
Educational data mining: A survey from 1995 to 2005
Expert Systems with Applications: An International Journal
Social Networks and the Semantic Web (Semantic Web and Beyond)
Social Networks and the Semantic Web (Semantic Web and Beyond)
A computational model for developing semantic web-based educational systems
Knowledge-Based Systems
A Multidimensional Paper Recommender: Experiments and Evaluations
IEEE Internet Computing
Recommendations in Online Discussion Forums for E-Learning Systems
IEEE Transactions on Learning Technologies
Ontology-based semantic recommendation for context-aware e-learning
UIC'07 Proceedings of the 4th international conference on Ubiquitous Intelligence and Computing
JOINT: Java ontology integrated toolkit
Expert Systems with Applications: An International Journal
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This work proposes an agent-based system for helping students in the knowledge building process by providing them with recommendations of papers and blogs. The interaction starting point involves a blog context focused on a specific domain. Then, the teacher posts a topic in this blog and students express their opinions about this topic. Afterwards, the system monitors the interaction process aiming to mine the discussion to extract important attributes and information. Then, the recommender system retrieves relevant material to support dynamic interactions in the learning environment. Thus, two situations were defined one, being that the system helps the students by finding and recommending relevant and related blogs. The other, being that the system helps students by recommending papers from a digital library to provide them with formal opinions about the target topic, aiming at enriching their learning experiences. The proposed system with a case study and empirical results are described.