%0 Book Section %1 ciuciu2010personalized %A Ciuciu, Ioana %A Tang, Yan %B On the Move to Meaningful Internet Systems: OTM 2010 Workshops %D 2010 %E Meersman, Robert %E Dillon, Tharam %E Herrero, Pilar %I Springer Berlin Heidelberg %K Collaborative DataMatching Ontology Personalized Recommendation Scenario eLearning %P 575-584 %R 10.1007/978-3-642-16961-8_81 %T A Personalized and Collaborative eLearning Materials Recommendation Scenario Using Ontology-Based Data Matching Strategies %U http://dx.doi.org/10.1007/978-3-642-16961-8_81 %V 6428 %X We propose a virtual teacher for the evaluation of students’ competencies. It aims to improve learning by making personalized suggestions on the learning materials. It is based on three main components: 1) a semantically enriched content management system (CMS), playing the role of knowledge base, 2) a 3D anatomy browser and 3) an ontology-based matching strategy called Controlled Fully Automated Ontology Based Matching Strategy (C-FOAM), providing the evaluation methodology. Together with the collaborative knowledge base, which allows knowledge to be represented in natural language and to be further reused, the evaluation methodology becomes the main contribution of the paper. The approach is demonstrated on a learning scenario illustrated around 3D anatomical structures. %@ 978-3-642-16960-1

@incollection{ciuciu2010personalized, abstract = {We propose a virtual teacher for the evaluation of students’ competencies. It aims to improve learning by making personalized suggestions on the learning materials. It is based on three main components: 1) a semantically enriched content management system (CMS), playing the role of knowledge base, 2) a 3D anatomy browser and 3) an ontology-based matching strategy called Controlled Fully Automated Ontology Based Matching Strategy (C-FOAM), providing the evaluation methodology. Together with the collaborative knowledge base, which allows knowledge to be represented in natural language and to be further reused, the evaluation methodology becomes the main contribution of the paper. The approach is demonstrated on a learning scenario illustrated around 3D anatomical structures.}, added-at = {2012-12-17T14:22:50.000+0100}, author = {Ciuciu, Ioana and Tang, Yan}, biburl = {https://www.bibsonomy.org/bibtex/20e36786b476a71b5af07daa9926d07f0/martin-zenker}, booktitle = {On the Move to Meaningful Internet Systems: OTM 2010 Workshops}, description = {A Personalized and Collaborative eLearning Materials Recommendation Scenario Using Ontology-Based Data Matching Strategies - Springer}, doi = {10.1007/978-3-642-16961-8_81}, editor = {Meersman, Robert and Dillon, Tharam and Herrero, Pilar}, interhash = {7b6a1092b63233340be13453a71731cb}, intrahash = {0e36786b476a71b5af07daa9926d07f0}, isbn = {978-3-642-16960-1}, keywords = {Collaborative DataMatching Ontology Personalized Recommendation Scenario eLearning}, pages = {575-584}, publisher = {Springer Berlin Heidelberg}, series = {Lecture Notes in Computer Science}, timestamp = {2012-12-17T14:22:50.000+0100}, title = {A Personalized and Collaborative eLearning Materials Recommendation Scenario Using Ontology-Based Data Matching Strategies}, url = {http://dx.doi.org/10.1007/978-3-642-16961-8_81}, volume = 6428, year = 2010 }