Visualization of Multidimensional Information from Scientific Computations

GREGAR, Tomáš, Jan PAVLOVIČ a Lukáš KOKRMENT. Visualization of Multidimensional Information from Scientific Computations. Online. In Current Research in Information Sciences and Technologies, Volume II. Spain: American Society for Information Science and Technology, 2006. s. 472-476, 602 s. ISBN 84-611-3105-3. [citováno 2024-04-24]

Základní údaje

• Originální název: Visualization of Multidimensional Information from Scientific Computations
• Název česky: Vizualizace Multifimenzionálních informací z vědeckých výpočtů
• Autoři: GREGAR, Tomáš (203 Česká republika, garant), Jan PAVLOVIČ (203 Česká republika) a Lukáš KOKRMENT (203 Česká republika)
• Vydání: Spain, Current Research in Information Sciences and Technologies, Volume II, od s. 472-476, 602 s. 2006.
• Nakladatel: American Society for Information Science and Technology

Další údaje

• Originální jazyk: angličtina
• Typ výsledku: Stať ve sborníku
• Obor: 10201 Computer sciences, information science, bioinformatics
• Stát vydavatele: Španělsko
• Utajení: není předmětem státního či obchodního tajemství
• WWW: URL
• Kód RIV: RIV/00216224:14330/06:00015374
• Organizační jednotka: Fakulta informatiky
• ISBN: 84-611-3105-3
• Klíčová slova anglicky: Visualization; Ontology; Microarrays
• Štítky: microarrays, ontology, visualization
• Příznaky: Mezinárodní význam, Recenzováno

Anotace

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.

Anotace česky

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.

Návaznosti

• 1ET208050401, projekt VaV: Název: E-learning v kontextu sémantického webu

Investor: Akademie věd ČR, E-learning v kontextu sémantického webu