Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
12-2008
Abstract
In this paper, we focus on the visualization of heterogeneous semantic networks obtained from multiple data sources. A semantic network comprising a set of entities and relationships is often used for representing knowledge derived from textual data or database records. Although the semantic networks created for the same domain at different data sources may cover a similar set of entities, these networks could also be very different because of naming conventions, coverage, view points, and other reasons. Since digital libraries often contain data from multiple sources, we propose a visualization tool to integrate and analyze the differences among multiple social networks. Through a case study on two terrorism-related semantic networks derived from Wikipedia and Terrorism Knowledge Base (TKB) respectively, the effectiveness of our proposed visualization tool is demonstrated.
Discipline
Databases and Information Systems
Research Areas
Data Science and Engineering
Publication
Digital Libraries: 11th International Conference on Asian Digital Libraries, ICADL 2008, Bali, Indonesia, December 2-5, 2008. Proceedings
Volume
5362
First Page
266
Last Page
275
ISBN
9783540895336
Identifier
10.1007/978-3-540-89533-6_27
Publisher
Springer
City or Country
Berlin
Embargo Period
4-16-2016
Citation
Maureen, Maureen; SUN, Aixin; LIM, Ee Peng; DATTA, Anwitaman; and CHANG, Kuiyu.
On visualizing heterogeneous semantic networks from multiple data sources. (2008). Digital Libraries: 11th International Conference on Asian Digital Libraries, ICADL 2008, Bali, Indonesia, December 2-5, 2008. Proceedings. 5362, 266-275.
Available at: https://ink.library.smu.edu.sg/sis_research/3159
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1007/978-3-540-89533-6_27