On visualizing heterogeneous semantic networks from multiple data sources
|On visualizing heterogeneous semantic networks from multiple data sources|
|Author(s)||Maureen, Sun A., Lim E.-P., Datta A., Chang K.|
|Published in||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Keyword(s)||Unknown (Extra: Artificial intelligence, Data visualization, Information theory, Knowledge based systems, Libraries, Metropolitan area networks, Semantics, Ubiquitous computing, Visualization, Case studies, Database records, Do-mains, Multiple data sources, Multiple sources, Semantic networks, Social networks, Textual datums, Visualization tools, Wikipedia, Digital libraries)|
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On visualizing heterogeneous semantic networks from multiple data sources is a 2008 conference paper written in English by Maureen, Sun A., Lim E.-P., Datta A., Chang K. and published in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
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.
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