Title

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

Research Areas

Data Management and Analytics

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

Additional URL

http://dx.doi.org/10.1145/2009916.2010155

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