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Number of items: 3.
Article
Folksonomies versus Automatic Keyword Extraction: An Empirical Study
http://jb4-2.eprints-hosting.org/2117
Hend S. Al-Khalifa
Hugh C. Davis
http://jb4-2.eprints-hosting.org/2117
Hend S. Al-Khalifa
Hugh C. Davis
Conference or Workshop Item
Harnessing the wisdom of crowds: how to semantically annotate web resource using folksonomies
http://jb4-2.eprints-hosting.org/2119
This paper proposes a system for automatically adding semantic metadata to web resources. This can be done by converting people generated tags (a.k.a folksonomies) associated with bookmarked web sites saved at del.icio.us bookmarking service to a formal metadata representation, hence RDF.
Hend S. Al-Khalifa
Hugh C. Davis
http://jb4-2.eprints-hosting.org/2119
This paper proposes a system for automatically adding semantic metadata to web resources. This can be done by converting people generated tags (a.k.a folksonomies) associated with bookmarked web sites saved at del.icio.us bookmarking service to a formal metadata representation, hence RDF.
Hend S. Al-Khalifa
Hugh C. Davis
The Evolution of Metadata from Standards to Semantics in E-Learning Applications
http://jb4-2.eprints-hosting.org/2113
Metadata attempts to describe the content, format, purpose and structure of data. Over the past few years, the IEEE-LOM standard has dominated the metadata world in e-learning applications. However, with the advent of the Semantic Web, e-learning applications are beginning to evolve their metadata representation from these standards by adding semantic structure or by converting entirely to semantic representations of structure. This shift enables the implementation of a range of new tools which can reason over the metadata, providing added value from the stored data. This review paper summarizes this evolution of metadata used in e-learning applications from standards to semantic representation.
Hend S. Al-Khalifa
Hugh C. Davis
http://jb4-2.eprints-hosting.org/2113
Metadata attempts to describe the content, format, purpose and structure of data. Over the past few years, the IEEE-LOM standard has dominated the metadata world in e-learning applications. However, with the advent of the Semantic Web, e-learning applications are beginning to evolve their metadata representation from these standards by adding semantic structure or by converting entirely to semantic representations of structure. This shift enables the implementation of a range of new tools which can reason over the metadata, providing added value from the stored data. This review paper summarizes this evolution of metadata used in e-learning applications from standards to semantic representation.
Hend S. Al-Khalifa
Hugh C. Davis