Open Corpus Content, Adaptive Hypermedia, Statistical Content Analysis, Structural Content Analysis
Issue Date:
2009
Citation:
Killian Levacher, Eamon Hynes, Seamus Lawless, Alex O'Connor, Vincent Wade, A Framework for Content Preparation to Support Open-Corpus Adaptive Hypermedia, International Workshop on Dynamic and Adaptive Hypertext at the 20th ACM Conference on Hypertext and Hypermedia, Hypertext 2009, Torino, Italy, 29th June - 1st July, 2009
Abstract:
A key impediment for enabling the mainstream adoption of
Adaptive Hypermedia for web applications and corporate websites is the
di culty in repurposing existing content for such delivery systems. This
paper proposes a novel framework for open-corpus content preparation,
making it usable for adaptive hypermedia systems. The proposed frame-
work processes documents drawn from both open (i.e. web) and closed
corpora, producing coherent conceptual sections of text with associated
descriptive metadata. The solution bridges the gap between information
resources and information requirements of adaptive systems by adopting
state-of-the-art information extraction and structural content analysis
techniques. The result is an on-demand provision of tailored, atomic in-
formation objects called slices. The challenges associated with open
corpus content reusability are addressed with the aim of improving the
scalability and interoperability of adaptive systems. This paper proposes
an initial architecture for such a framework in addition to reviews of
associated technologies.
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