Summary of the paper
| Title | Socially Driven Ontology Enrichment for eLearning |
|---|---|
| Authors | Paola Monachesi and Thomas Markus |
| Abstract | One of the objectives of the Language Technologies for Life-Long Learning (LTfLL) project, is to develop a knowledge sharing system that connects learners to resources and learners to other learners. To this end, we complement the formal knowledge represented by existing domain ontologies with the informal knowledge emerging from social tagging. More specifically, we crawl data from social media applications such as Delicious, Slideshare and YouTube. Similarity measures are employed to select possible lexicalizations of concepts that are related to the ones present in the given ontology and which are assumed to be socially relevant with respect to the input lexicalisation. In order to identify the appropriate relationships which exist between the extracted related terms and the existing domain ontology, we employ several heuristics that rely on the use of a large background knowledge base, such as DBpedia. An evaluation of the resulting ontology has been carried out. The methodology proposed allows for an appropriate enrichment process and produces a complementary vocabulary to that of a domain expert. |
| Topics | Knowledge Discovery/Representation, Ontologies, Semantic Web |
Full paper |
Socially Driven Ontology Enrichment for eLearning |
Slides |
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| Bibtex | @InProceedings{MONACHESI10.826, author = {Paola Monachesi and Thomas Markus}, title = {Socially Driven Ontology Enrichment for eLearning}, booktitle = {Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)}, year = {2010}, month = {may}, date = {19-21}, address = {Valletta, Malta}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Bente Maegaard and Joseph Mariani and Jan Odijk and Stelios Piperidis and Mike Rosner and Daniel Tapias}, publisher = {European Language Resources Association (ELRA)}, isbn = {2-9517408-6-7}, language = {english} } |