Finding OERs with social-semantic search

Please use this identifier to cite or link to this item: http://dspace.utpl.edu.ec/handle/123456789/19257

Title:	Finding OERs with social-semantic search
Authors:	Piedra Pullaguari, N. Chicaiza Espinosa, J. Lopez Vargas, J. Martínez, O.
Keywords:	information seekers knowledge domains OCW OER ontology Open Educational Resources searching architecture semantic metadata technology Semantic Web technology social annotations social Web social-semantic Web paradigm
Issue Date:	18-Jul-2011
Publisher:	2011 IEEE Global Engineering Education Conference, EDUCON 2011
Abstract:	Social and semantic web can be complementary approaches searching web resources. This cooperative approach lets enable a semantic search engine to find accurate results and annotate web resources. This work develops the components of a Social-Semantic search architecture proposed by the authors to find open educational resources (OER). By means of metadata enrichment and logic inference, OER consumers get more precise results from general search engines. The Search prototype has been applied to find OER related with computers and engineering in a domain provided by OpenCourseWare materials from two universities, MIT and UTPL. The semantic search answers reasonably well the queta collected. © 2011 IEEE.
URI:	http://dspace.utpl.edu.ec/handle/123456789/19257
ISSN:	9.78E+17
Other Identifiers:	10.1109/EDUCON.2011.5773299
Appears in Collections:	Artículos de revistas Científicas

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