DocumentCode
615286
Title
Enrichment of semantic knowledge bases - An application to the automatic enrichment of learning tool descriptions
Author
Anido Rifon, Luis ; Roris, Victor M. Alonso ; Canas Rodriguez, Agustin ; Gago, Juan M. Santos ; Iglesias, Manuel J. Fernandez
Author_Institution
Dept. Enxeneria Telematica, Univ. of Vigo, Vigo, Spain
fYear
2013
fDate
26-28 April 2013
Firstpage
304
Lastpage
309
Abstract
We discuss the first outcomes of a research project targeted to the automatic enrichment of RDF/OWL-coded knowledge bases. More specifically, we discuss the enrichment of learning tool descriptions in a recommendation system for learning resources. We show how, thanks to the implemented enrichment processes, it is possible to improve the precision of recommendations by automatically completing those descriptions. Besides, this approach overcomes the limitations of manual cataloguing and their lack of completeness consequence of relying only on the previous knowledge of cataloguing personnel.
Keywords
knowledge based systems; knowledge representation languages; learning (artificial intelligence); recommender systems; semantic Web; RDF-OWL-coded knowledge bases; automatic learning tool description enrichment; learning resources; recommendation system; semantic knowledge bases enrichment; Computers; Indexes; Personnel; Resource description framework; Vocabulary; OWL; RDF; enrichment; record linkage; semantic web;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science & Education (ICCSE), 2013 8th International Conference on
Conference_Location
Colombo
Print_ISBN
978-1-4673-4464-7
Type
conf
DOI
10.1109/ICCSE.2013.6553929
Filename
6553929
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