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Finding OERs with social-semantic search
Piedra, Nelson · Chicaiza, Janneth · López, Jorge · Tovar, Edmundo · Bonastre, Oscar M. · Auer, Michael E. [secondary] · Al-Zoubi, A Y. [secondary] · Tovar, EdmundoEditors [secondary]

PublishedApril 2011
ConferenceGlobal Engineering Education Conference (EDUCON), 2011 IEEE
Pages 1–6
CountryJordan

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.

Keywords information seekers · knowledge domains · OCW · OER · ontology · searching architecture · semantic metadata technology · Semantic Web technology · social annotations · social Web · social-semantic Web paradigm

Published atAmman
Languageeng
ISBN978-1-61284-642-2
RefereedYes
Rights©2011 IEEE
DOI10.1109/EDUCON.2011.5773299
URLhttp://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5773299
Export optionsBibTex · EndNote · Tagged XML · Google Scholar


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