ONTOLOGY ENGINEERING AND E-LEARNING SYSTEMS
ONTOLOGY ENGINEERING AND E-LEARNING SYSTEMS

Summary/Abstract: Ontology engineering has become an effective methodology for knowledge representation and management in many fields of information science, such as cooperative information systems, intelligent integration of information extraction and information retrieval, knowledge representation systems, database management systems and e–learning systems. It allows being a bridge between human knowledge and knowledge bases. Ontology engineering covers a range of activities that are performed during the conceptualization, design, implementation and development of ontologies. Ontologies in intelligent educational systems can be approached from several points of view: as a common vocabulary for a multi-agent system, as a chain of different heterogeneous educational systems, ontologies for sharing pedagogical resources, or for sharing data and ontologies used in search mediation on the Internet of learning materials. Ontologies can be used to model educational domains and to build, organize and update specific learning resources: learning objects, learner profiles, learning paths, etc. One of our use cases concerns a system that uses structured descriptions of measuring instruments existent in an academic laboratory, for generating Web pages with guidelines regarding students’ practical work. The combination between a general learning ontology and one specific to the studied domain can leverage students’ capability to understand the new lessons, and create the habit to rigorously use the dedicated taxonomy and to perceive the relationships between concepts. The other use case aims to implement an ontology for personalized e-learning environment that facilitates the sharing and reuse of e-learning materials. ADL SCORM v1.3 application profile was selected to describe the metadata of digital learning materials.

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