Finding OERs with social-semantic search

Finding OERs with social-semantic search

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 f...

Full description

Saved in:
Bibliographic Details
Main Author: Piedra Pullaguari, N. (author)
Other Authors: Chicaiza Espinosa, J. (author), Lopez Vargas, J. (author), Martínez, O. (author)
Format: article
Published: 2010
Subjects:
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
Online Access:http://dspace.utpl.edu.ec/handle/123456789/19257
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.

Similar Items