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AUTOMATIC DOCUMENT-LEVEL SEMANTIC METADATA ANNOTATION USING FOLKSONOMIES AND DOMAIN ONTOLOGIES (2007)
| Citations: | 3 - 0 self |
BibTeX
@MISC{Al-khalifa07automaticdocument-level,
author = {Hend S. Al-khalifa and Hend S. Al-khalifa},
title = {AUTOMATIC DOCUMENT-LEVEL SEMANTIC METADATA ANNOTATION USING FOLKSONOMIES AND DOMAIN ONTOLOGIES},
year = {2007}
}
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Abstract
The last few years have witnessed a fast growth of the concept of Social Software. Be it video sharing such as YouTube, photo sharing such as Flickr, community building such as MySpace, or social bookmarking such as del.icio.us. These websites contain valuable user-generated metadata called folksonomies. Folksonomies are ad hoc, light-weight knowledge representation artefacts to describe web resources using people’s own vocabulary. The cheap metadata contained in such websites presents potential opportunities for us (researchers) to benefit from. This thesis presents a novel tool that uses folksonomies to automatically generate metadata with educational semantics in an attempt to provide semantic annotations to bookmarked web resources, and to help in making the vision of the Semantic Web a reality. The tool comprises two components: the tags normalisation process and the semantic annotation process. The tool uses the del.icio.us social bookmarking service as a source for folksonomy tags. The tool was applied to a case study consisting of a framework for evaluating the usefulness of the generated semantic metadata within the context of a particular
Keyphrases
web resource semantic annotation light-weight knowledge representation ad hoc website present potential opportunity case study educational semantics semantic metadata cheap metadata social bookmarking fast growth community building semantic web last year folksonomy tag semantic annotation process novel tool social software tag normalisation process valuable user-generated metadata
