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Integrating graphics and abstract data to visualize temporal constraints
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Volume 9 ,  Issue 3-4  (December 1998) table of contents
Pages: 18 - 23  
Year of Publication: 1998
ISSN:0163-5719
Authors
Louis Hoebel  General Electric Corporate Research and Development, Schenectady, NY
William Lorensen  General Electric Corporate Research and Development, Schenectady, NY
Ken Martin  General Electric Corporate Research and Development, Schenectady, NY
Publisher
ACM  New York, NY, USA
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ABSTRACT

Traditionally, visualization is the transformation of data into information that can be rendered using computer graphics techniques. Visualization combines techniques and representations from computer graphics, computer vision, and image processing. In distributed and hierarchical operations and processes, such as for command and control or logistics and planning, visualization is the central mechanism for communicating the state of the situation and operations. The major challenge of visualization is to filter, tailor, and present the information in compact forms that can be efficiently created and displayed. In contrast to many visualization problems, these domains have what seems to be an overwhelming variety and quantity of information. We address aspects of this problem with the graphical visualization of abstract temporal information in a concrete spatio-temporal framework.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Allen, J. F. 1981. An Interval-Based Representation of Temporal Knowledge. In <i>Proceedings of IJCAI-7,</i> International Joint Conference on Artificial Intelligence, Karlsruhe, Germany, August 1983. pp. 741--747.
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Arthur, R., and J. Stillman. 1992. Tachyon: A Model and Environment for Temporal Reasoning. General Electric Corporate Research and Development Technical Report.
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Bienkowski, M., and L. Hoebel. 1998. Integrating AI Applications in a Military Planner. In <i>Proceedings of the National Conference on Artificial Intelligence</i> (July).
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Tachyon Reference Manual. 1994. General Electric Corporate Research and Development Technical Report.

Collaborative Colleagues:
Louis Hoebel: colleagues
William Lorensen: colleagues
Ken Martin: colleagues