加速向协同智力活动的迁移——生物信息学和知识社会

H. Yamaguchi
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引用次数: 0

摘要

生物信息学和计算生物学应用数学和计算机科学方法来解决涉及大量数据、计算和分析的生物学问题。它们目前正受到相当多的关注。信息技术在异构数据管理、数据建模和数据分析中发挥着重要作用。更重要的是,生物学家需要方便地访问和管理生物数据,以及可能从这些数据中获得的任何信息。为了解决这些问题,生物信息学和计算生物学的知识密集型活动正在不断发展和加速。本讲座将介绍这种加速和进化所需的特性。这些属性包括人性化、个性化和各种形式的其他IT需求,尤其是隐私保护。本演讲还旨在介绍建立在语义对象关系数据库之上的协作性智力活动,以及采用一些反馈机制来实现期望属性的知识社会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Accelerated migration to collaborative intellectual activities-bioinformatics and knowledge societies
Bioinformatics and computational biology apply mathematical and computer science methods to solve biological problems that involve large amounts of data, computation, and analysis. They are currently receiving a considerable amount of attention. Information technologies play an important role in heterogeneous data management, data modeling, and data analysis. More importantly biological data, and any information that may be derived from such data, need to be accessed and managed easily by biologists. To solve these problems, improved intellectual mobility has been evolving and accelerating bioinformatics and computational biology toward knowledge intensive activities. The desired properties of such acceleration and evolution will be introduced in this talk. These properties include humanization, personalization, and various forms of other IT requirements, especially privacy preservation. This talk also aims at introducing collaborative intellectual activities, which are built on top of a semantic object-relational database, and knowledge societies, which employ some feedback mechanism to achieve the desired properties.
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