CITOM: An incremental construction of multilingual topic maps
Data & Knowledge Engineering
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To make an efficient and complete learning activity, many learning repositories have to be accessed by integrating and reusing learning resources. Unfortunately, learning resources are described by using several standards of metadata. In this paper, we propose a semantic representation and integration of Web-based learning resources to enable more efficient accessibility and reusing. We use Topic Maps to represent learning resources and associated semantics such as metadata. Topic Maps is an ISO standard. Using Topic Maps, it is suitable to assign semantics to Web-based learning resources, given in a common ontology. So, learning resources are able to be effectively processed and reused in many e-learning applications. In this paper, we make a semantic integration of heterogeneous e-learning repositories.