Dynamic Associative Relationships on the Linked Open Data Web

Author(s)

Yue Ma
Pavan Kapanipathi
Delroy H. Cameron
Amit P. Sheth, University of South Carolina - ColumbiaFollow

Document Type

Conference Proceeding

Abstract

We provide a definition of context based on theme, time and location, and propose a mixed retrieval/extraction model for the dynamic suggestion of trending relationships to LOD resources.

Publication Info

WebSci10, Extending the Frontiers of Society On-Line Conference, 2010.

© Mendes, P. N., Kapanipathi, P., Cameron, D. H., & Sheth, A. P., 2010

APA Citation

Mendes, P. N., Kapanipathi, P., Cameron, D. H., & Sheth, A. P. (2010). Dynamic Associative Relationships on the Linked Open Data Web. Proceedings of the WebSci10: Extending the Frontiers of Society On-Line.
https://corescholar.libraries.wright.edu/knoesis/760