Improvisational Knowledge Federation for supporting the Exploratory Process of Data Centric Scientific Research

2014 Fiscal Year Final Research Report

• Project/Area Number: 24240011
• Research Category: Grant-in-Aid for Scientific Research (A)
• Allocation Type: Single-year Grants
• Section: 一般
• Research Field: Media informatics/Database
• Research Institution: Hokkaido University
• Principal Investigator: TANAKA Yuzuru 北海道大学, 情報科学研究科, 特任教授 (60002309)
• Co-Investigator(Kenkyū-buntansha): MINETA Katsuhiko 北海道大学, 大学院情報科学研究科, 准教授 (40374615) ; IMURA Hajime 北海道大学, 知識メディアラボラトリー, 特任助教 (70615210)
• Project Period (FY): 2012-04-01 – 2015-03-31
• Keywords: 科学研究ＩＴ基盤 / 知識フェデレーション / 探索的可視化分析

Outline of Final Research Achievements

Focusing on the technological support of the exploratory research process that has not been well supported by conventional worlflow technologies in the conventional R&D on the next-generation research infrastructure IT systems for data centric scientific research, we have developed the exploratory visual analytics framework and its enabling improvisational knowledge federation technologies with which we can improvisationally extract analysis data from large data sets through flexiblly defined data views, and improvisationally compose and execute required visual analytics scenarios from a large library of various analysis and visualization tools and services in the target domains for the hypothesis checking of fragmental ideas. We have evaluated our approach through its applications to clinico-genomic trials on cancer and bioinformatics research.

Free Research Field

知識メディア