Document Type
Presentation
Publication Date
6-23-2010
Abstract
The LOD cloud has a potential for applicability in many AI-related tasks, such as open domain question answering, knowledge discovery, and the Semantic Web. An important prerequisite before the LOD cloud can enable these goals is allowing its users (and applications) to effectively pose queries to and retrieve answers from it. However, this prerequisite is still an open problem for the LOD cloud and has restricted it to 'merely more data.' To transform the LOD cloud from 'merely more data' to 'semantically linked data' there are plenty of open issues which should be addressed. We believe this transformation of the LOD cloud can be performed by addressing the shortcomings identified by us: lack of conceptual description of datasets, lack of expressivity, and difficulties with respect to querying.
Repository Citation
Jain, P.,
Sheth, A. P.,
Verma, K.,
Hitzler, P.,
& Yeh, P. Z.
(2010). How To Make Linked Data More than Data. .
https://corescholar.libraries.wright.edu/knoesis/95
Included in
Bioinformatics Commons, Communication Technology and New Media Commons, Databases and Information Systems Commons, OS and Networks Commons, Science and Technology Studies Commons
Comments
A presentation at the Semantic Technology Conference 2010, June 23, 2010, San Francisco.