Detailed Information on Publication Record
2006
Visualization of Multidimensional Information from Scientific Computations
GREGAR, Tomáš, Jan PAVLOVIČ and Lukáš KOKRMENTBasic 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
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
Spain
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
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
Tags
International impact, Reviewed
Změněno: 5/12/2006 00:14, RNDr. Tomáš Gregar
V originále
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.
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 project |
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