Electronic document addressing: dealing with change
ACM Computing Surveys (CSUR)
Triplify: light-weight linked data publication from relational databases
Proceedings of the 18th international conference on World wide web
A framework for semantic link discovery over relational data
Proceedings of the 18th ACM conference on Information and knowledge management
Discovering and Maintaining Links on the Web of Data
ISWC '09 Proceedings of the 8th International Semantic Web Conference
DSNotify: handling broken links in the web of data
Proceedings of the 19th international conference on World wide web
Winter Simulation Conference
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The idea of web of data is to build a huge graph by interlinking the related contents on the web. As the web is highly dynamic in nature, the contents change rapidly from time to time. This highly dynamic nature of web can lead to broken links. These broken links can be the result of one of the events like create, delete, move or update. Moreover, a change in the meaning of the content can lead to broken links on the web. This type of broken link is called a semantic broken link. Handling of such a broken link is a challenge for both human actors and machine agents. This paper deals with a method of discovering the semantic broken links accurately by applying a structured tagging scheme. Our solution uses a tagging scheme that helps to detect the semantic changes in the pages and has a loosely coupled communication mechanism to report the changes.