Á. Figueira (Portugal)
Repository, Digital Libraries, Unsupervised Semantic Classification, Folksonomy, Clustering.
In this paper, we describe a repository of learning objects which automatically organizes the content in clusters of semantic proximity by the use of text mining mechanisms and a social classification system. The automatic classification system takes advantage of an integration between the repository and an educational information system, which dynamically produces metadata. This unsupervised classification is enhanced with a folksonomy which provides an additional and non-automatic characterization of documents. We describe the initial classification process to create clusters of documents and the methodology sustain this organization during ingestion of new learning objects and new metadata.
Important Links:
Go Back
