Slicepedia: Providing Customized Reuse of Open-Web Resources for Adaptive Hypermedia
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2012Citation:
Killian Levacher, Seamus Lawless and Vincent Wade, Slicepedia: Providing Customized Reuse of Open-Web Resources for Adaptive Hypermedia, The 23rd ACM Conference on Hypertext and Social Media, HT 2012, Milwaukee, Wisconsin, USA, 25th-28th June, 2012Download Item:
Abstract:
A key advantage of Adaptive Hypermedia Systems(AHS) is their
ability to re-sequence and reintegrate content to satisfy particular
user needs. However, this can require large volumes of content,
with appropriate granularities and suitable meta-data descriptions.
This represents a major impediment to the mainstream adoption of
Adaptive Hypermedia. Open Adaptive Hypermedia systems have
addressed this challenge by leveraging open corpus content
available on the World Wide Web. However, the full reuse
potential of such content is yet to be leveraged. Open corpus
content is today still mainly available as only one-size-fits-all
document-level information objects. Automatically customizing
and right-fitting open corpus content with the aim of improving its
amenability to reuse would enable AHS to more effectively utilise
these resources.
This paper presents a novel architecture and service called
Slicepedia, which processes open corpus resources for reuse
within AHS. The aim of this service is to improve the reuse of
open corpus content by right-fitting it to the specific content
requirements of individual systems. Complementary techniques
from Information Retrieval, Content Fragmentation, Information
Extraction and Semantic Web are leveraged to convert the
original resources into information objects called slices. The
service has been applied in an authentic language elearning
scenario to validate the quality of the slicing and reuse. A user
trial, involving language learners, was also conducted. The
evidence clearly shows that the reuse of open corpus content in
AHS is improved by this approach, with minimal decrease in the
quality of the original content harvested.
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The 23rd ACM Conference on Hypertext and Social Media, HT 2012Type of material:
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Adaptive Hypermedia, SlicingMetadata
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