GREGAR, Tomáš, Jan PAVLOVIČ and Lukáš KOKRMENT. Visualization of Multidimensional Information from Scientific Computations. In Current Research in Information Sciences and Technologies, Volume II. Spain: American Society for Information Science and Technology, 2006. p. 472-476, 602 pp. ISBN 84-611-3105-3.
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Basic information
Original name Visualization of Multidimensional Information from Scientific Computations
Name in Czech Vizualizace Multifimenzionálních informací z vědeckých výpočtů
Authors GREGAR, Tomáš (203 Czech Republic, guarantor), Jan PAVLOVIČ (203 Czech Republic) and Lukáš KOKRMENT (203 Czech Republic).
Edition Spain, Current Research in Information Sciences and Technologies, Volume II, p. 472-476, 602 pp. 2006.
Publisher American Society for Information Science and Technology
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Spain
Confidentiality degree is not subject to a state or trade secret
WWW URL
RIV identification code RIV/00216224:14330/06:00015374
Organization unit Faculty of Informatics
ISBN 84-611-3105-3
Keywords in English Visualization; Ontology; Microarrays
Tags microarrays, ontology, visualization
Tags International impact, Reviewed
Changed by Changed by: RNDr. Tomáš Gregar, učo 4099. Changed: 5/12/2006 00:14.
Abstract
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.
Abstract (in Czech)
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.
Links
1ET208050401, research and development projectName: E-learning v kontextu sémantického webu
Investor: Academy of Sciences of the Czech Republic, Information society (National programme of research)
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