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OncoViz: a user-centric mining and visualization tool for cancer-related literature

Published: 22 March 2010 Publication History

Abstract

A plethora of health informatioin available on the Internet potentially benefits a variety of people, including patients and care providers. However, due to the sheer volume of such information, the benefits have not been fully realized. In this poster, we present a user-centric text information retrieval and knowledge discovery tool, called "OncoViz," for cancer-related literature and navigation of the extracted knowledge as associations using a novel interactive information visualization tool. Based on our current results, it shows that a user-centric, integrated information extraction and visualization tool indeed can provide valuable information to users, such as cancer patients and care providers.

References

[1]
Pazzani, M., Muramatsu J., & Billsus, D. Syskill & Webert: Identifying interesting web sites. Proceedings of the National Conference on Artificial Intelligence, Portland, OR. (1996).
[2]
Adobe Flex, http://www.adobe.com/products/flex/.
[3]
Jeff Heer, Flare | Data Visualization for the Web, http://flare.prefuse.org/.

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  • (2014)User interface design guidelines for rich applications in the context of cultural heritage data2014 IEEE Eighth International Conference on Research Challenges in Information Science (RCIS)10.1109/RCIS.2014.6861049(1-10)Online publication date: May-2014

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cover image ACM Conferences
SAC '10: Proceedings of the 2010 ACM Symposium on Applied Computing
March 2010
2712 pages
ISBN:9781605586397
DOI:10.1145/1774088
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 March 2010

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Author Tags

  1. information visualization
  2. text mining

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SAC'10
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SAC'10: The 2010 ACM Symposium on Applied Computing
March 22 - 26, 2010
Sierre, Switzerland

Acceptance Rates

SAC '10 Paper Acceptance Rate 364 of 1,353 submissions, 27%;
Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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SAC '25
The 40th ACM/SIGAPP Symposium on Applied Computing
March 31 - April 4, 2025
Catania , Italy

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Cited By

View all
  • (2014)User interface design guidelines for rich applications in the context of cultural heritage data2014 IEEE Eighth International Conference on Research Challenges in Information Science (RCIS)10.1109/RCIS.2014.6861049(1-10)Online publication date: May-2014

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