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Content-Agnostic Open-Corpus Slicing for Adaptive Hypermedia
| Content Provider | Semantic Scholar |
|---|---|
| Author | Levacher, Killian Wade, Seamus Lawless Vincent |
| Copyright Year | 2014 |
| Abstract | A key advantage of Adaptive Hypermedia Systems (AHS) is their ability to re-sequence and reintegrate content to satisfy particular user needs, contexts or requirements. 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. Automatically right-fitting open corpus content with the aim of improving its amenability to reuse would enable the AHS community to avail of large volumes of resources. This paper presents a novel architecture and service called Slicepedia, which processes open corpus resources for reuse within AHSs. 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. The service, which has been applied in an authentic language eLearning scenario, clearly shows that the reuse of open corpus content in AHSs is improved by this approach, with minimal decrease in the quality of the original content harvested |
| File Format | PDF HTM / HTML |
| Volume Number | 4 |
| Alternate Webpage(s) | https://www.scss.tcd.ie/Seamus.Lawless/papers/IJACS-2014.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
