Visualizing and querying semantic social network
Publication Type
Conference Proceeding Article
Publication Date
2011
Abstract
We demonstrate SSNetViz that is developed for integrating, visualizing and querying heterogeneous semantic social networks obtained from multiple information sources. A semantic social network refers to a social network graph with multi-typed nodes and links. We demonstrate various innovative features of SSNetViz with social networks from three information sources covering a similar set of entities and relationships in terrorism domain.
Discipline
Databases and Information Systems | Numerical Analysis and Scientific Computing
Publication
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2011)
First Page
1271
Last Page
1272
ISBN
9781450307574
Identifier
10.1145/2009916.2010155
Publisher
ACM
City or Country
Beijing China
Citation
SUN, Aixin; DATTA, Anwitaman; LIM, Ee Peng; and CHANG, Kuiyu.
Visualizing and querying semantic social network. (2011). International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2011). 1271-1272.
Available at: https://ink.library.smu.edu.sg/sis_research/1441
Additional URL
http://doi.org/10.1145/2009916.2010155