Title :
Using Metadata to Maintain Link Integrity for Linked Data
Author :
Liu, Fangfang ; Li, Xiaojing
Author_Institution :
Sch. of Comput. Eng. & Sci., Shanghai Univ., Shanghai, China
Abstract :
The Linking Open Data (LOD) initiative has motivated numerous institutions to publish their data on the Web and to interlink them with those of other data sources. The structure makes it easier for both the users and the web applications to share the decentralized linked data. Since the data over the web changes frequently, maintaining link integrity to keep data consistency becomes a challenging problem for LOD. Many practices just ignore this problem and leave it to the applications which consume the linked data. Some approaches try to relive the applications from this issue by the active notification mechanism. In this paper, we propose an approach which relies on the metadata of the data sources to detect the change of the data. In this way, it can capture the changes of the data in real time and adjust the notification timing with different requirements of the consumers. By the initial experiments we show the feasibility of our approach.
Keywords :
Internet; data integrity; meta data; Web application; World Wide Web; data consistency; data source; decentralized linked data; link integrity; linking open data initiative; metadata; notification timing; Accuracy; Feature extraction; Joining processes; Maintenance engineering; Monitoring; Synchronization; link data; link integrity;
Conference_Titel :
Internet of Things (iThings/CPSCom), 2011 International Conference on and 4th International Conference on Cyber, Physical and Social Computing
Conference_Location :
Dalian
Print_ISBN :
978-1-4577-1976-9
DOI :
10.1109/iThings/CPSCom.2011.58