Title
Linked open corpus models, leveraging the semantic web for adaptive hypermedia
Abstract
Despite the recent interest in extending Adaptive Hypermedia beyond the closed corpus domain and into the open corpus world of the web, many current approaches are limited by their reliance on closed metadata model repositories. The need to produce large quantities of high quality metadata is an expensive task which results in silos of high quality metadata. These silos are often underutilized due to the proprietary nature of the content described by the metadata and the perceived value of the metadata itself. Meanwhile, the Linked Open Data movement is promoting a pragmatic approach to exposing, sharing and connecting pieces of machine-readable data and knowledge on the WWW using an agreed set of best practices. In this paper we identify the potential issues that arise from building personalization systems based on Linked Open Data.
Year
DOI
Venue
2012
10.1145/2309996.2310054
HT
Keywords
Field
DocType
closed metadata model repository,expensive task,open corpus world,best practice,current approach,linked open data movement,semantic web,linked open corpus model,adaptive hypermedia,high quality metadata,closed corpus domain,linked open data,personalization
Metadata,Metadata repository,World Wide Web,Best practice,Computer science,Adaptive hypermedia,Linked data,Semantic Web,Metadata modeling,Personalization
Conference
Citations 
PageRank 
References 
0
0.34
23
Authors
5
Name
Order
Citations
PageRank
Ian O'Keeffe1365.86
Alexander O'connor218414.32
Philip Cass300.34
Séamus Lawless411130.18
Vincent P. Wade547255.35