An evaluation methodology for C-FOAM applied to web-based learning

Authors:
Ioana Ciuciu;Yan Tang Demey
Affiliations:
Vrije Universiteit Brussel, Brussels, Belgium;Vrije Universiteit Brussel, Brussels, Belgium
Venue:
ICWL'12 Proceedings of the 11th international conference on Advances in Web-Based Learning
Year:
2012

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Abstract

C-FOAM (Controlled Fully Automated Ontology-based Matching Strategy) is one of the seven matching strategies of the Ontology-based Data Matching Framework (ODMF). As a composition of the matching algorithms at the levels of string, lexical and graph, C-FOAM interprets and compares the user input against the ontology graph, and produces a matching score. Based on this score, C-FOAM (1) provides the similarity score between the user knowledge and the knowledge stored in the knowledge base, which can be used to evaluate a learner; and (2) retrieves and recommends similar patterns (learning materials) from the knowledge base to the learner. This paper presents a generic evaluation methodology and discusses the evaluation results while using C-FOAM in a Web-based personalized, collaborative and intelligent learning tool in the medical domain.