Visualization of Multidimensional Information from Scientific Computations

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Authors

GREGAR Tomáš PAVLOVIČ Jan KOKRMENT Lukáš

Year of publication 2006
Type Article in Proceedings
Conference Current Research in Information Sciences and Technologies, Volume II
MU Faculty or unit

Faculty of Informatics

Citation
Web http://www.instac.es/inscit2006/publication.htm
Field Informatics
Keywords Visualization; Ontology; Microarrays
Description There exist many computationally intensive problems in the area of decision support. Results of solving these problems are usually huge sets and only small parts of them are suitable solutions. Domain experts have to consider the most usable ones. Eligible result visualization makes decision process performed by domain experts faster and more accurate. Computer processing of huge data amounts is quite different compared to human one. We have proposed a general methodology and axe-oriented 2D display technique for visualization of information, obtained from scientific computations. This methodology is capable of dealing with multidimensional data. Proposed solution should be general enough and it should follow the essential principles of Service-Oriented Architecture (SOA). These principles allow us to design a modular solution that can be effectively customized to examine the target domain. We are testing proposed methodology on three scientific domains.
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