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Semantic history towards modeling and publishing changes of online semantic data
Abstract Effective revision tracking is important t Effective revision tracking is important to maintain and use Semantic Web data for both publishers and readers. Information related to revisions in this setting often contains basic context information, semantic difference summary, and rationale summary. In this work, we present a general architecture for modeling and publishing revision history of social semantic Web data. This model has been implemented as an extension to an existing infrastructure, namely Semantic MediaWiki. We show a variety of applications that can be built using the framework, including provenance tracking, statistics, temporal reasoning and explanation. stics, temporal reasoning and explanation.
Author Jie Bao +, Li Ding +, Deborah L. McGuinness +
Bibtype inproceedings  +
Booktitle Proceedings of the 2nd Workshop on Social Data on the Web (SDoW2009)  +
Key mcguinness2009semantic  +
Modification dateThis property is a special property in this wiki. 9 November 2009 21:15:48  +
Paper TW-2009-17.pdf +
Paper url http://tw.rpi.edu/portal/File:TW-2009-17.pdf  +
Relation Inference web +
Slides TW-2009-17.ppt +
Tag Provenance +, Semantic web +, Computer science +
Title Semantic History: Towards Modeling and Publishing Changes of Online Semantic Data  +
Tr id TW-2009-17  +
Year 2009  +
Categories Workshop Paper, Proceeding Paper, Publication, TW Technical Report
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