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 connectslearners to resources and learners to other learners. To this end, wecomplement the formal knowledge represented by existing domain ontologies withthe informal knowledge emerging from social tagging. More specifically, wecrawldata from social media applications such as Delicious, Slideshare and YouTube.Similarity measures are employed to select possible lexicalizations of conceptsthat are related to the ones present in the given ontology and which areassumed to be socially relevant with respect to the input lexicalisation. Inorder to identify the appropriate relationships which existbetween the extracted related terms and the existing domain ontology, we employseveral 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 processand produces a complementary vocabulary to that of a domain expert. |
| Language | Semantic Web |
| Topics | Knowledge Discovery/Representation, Ontologies, Semantic Web |
Full paper  |
Socially Driven Ontology Enrichment for eLearning |
| Bibtex | @InProceedings{MONACHESI10.826, author = {Paola Monachesi and Thomas Markus}, title = {Socially Driven Ontology Enrichment for eLearning}, booktitle = {Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10)}, year = {2010}, month = {may}, date = {19-21}, address = {Valletta, Malta}, editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odjik, Stelios Piperidis, Mike Rosner, Daniel Tapias}, publisher = {European Language Resources Association (ELRA)}, isbn = {2-9517408-6-7}, language = {english} } |