On Visualizing Heterogeneous Semantic Networks from Multiple Data Sources
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 network...
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sg-smu-ink.sis_research_smu-10062018-07-09T05:35:14Z On Visualizing Heterogeneous Semantic Networks from Multiple Data Sources Maureen, Maureen Sun, Aixin LIM, Ee Peng Datta, Anwitaman Chang, Kuiyu 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. 2008-12-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research_smu/7 https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1006&context=sis_research_smu http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Information Systems (SMU Access Only) eng Institutional Knowledge at Singapore Management University Computer Sciences |
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Computer Sciences Maureen, Maureen Sun, Aixin LIM, Ee Peng Datta, Anwitaman Chang, Kuiyu On Visualizing Heterogeneous Semantic Networks from Multiple Data Sources |
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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. |
format |
text |
author |
Maureen, Maureen Sun, Aixin LIM, Ee Peng Datta, Anwitaman Chang, Kuiyu |
author_facet |
Maureen, Maureen Sun, Aixin LIM, Ee Peng Datta, Anwitaman Chang, Kuiyu |
author_sort |
Maureen, Maureen |
title |
On Visualizing Heterogeneous Semantic Networks from Multiple Data Sources |
title_short |
On Visualizing Heterogeneous Semantic Networks from Multiple Data Sources |
title_full |
On Visualizing Heterogeneous Semantic Networks from Multiple Data Sources |
title_fullStr |
On Visualizing Heterogeneous Semantic Networks from Multiple Data Sources |
title_full_unstemmed |
On Visualizing Heterogeneous Semantic Networks from Multiple Data Sources |
title_sort |
on visualizing heterogeneous semantic networks from multiple data sources |
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Institutional Knowledge at Singapore Management University |
publishDate |
2008 |
url |
https://ink.library.smu.edu.sg/sis_research_smu/7 https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1006&context=sis_research_smu |
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