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Effective ranked conceptual retrieval

机译：有效排名的概念检索

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Increasingly, with the abundance of data, science requires robust, new cyberinfrastructure. Cyberinfrastructure has focussed on the immediate demands of experimental and analytical work using large scale data and processing infrastructure, but the problems of recording, preserving, accessing and reusing the resultant data scientific outputs have largely been overlooked in the immediate gratification that comes from the ability to start undertaking Big Science. In the recent years, escience may have received a lot of attention, but the problem of long term information curation and management that it leaves in its wake has not. >CIMS'07 is a workshop that aims to facilitate discussions and exchange off ideas among computer scientists working on cyberinfrastructure issues for scientific applications. We have accepted a set of exciting papers to be presented and discussed at the workshop. During the workshop, we hope to be able to redefine this new field, identify problems associated with creating computational infrastructure and more importantly on the curation, management, and preservation of the data for scientific applications, learn about exciting directions of research and propose some solutions to some problems that our participants have dealt with before. The workshop will discuss papers dealing with data modeling, data preservation, data and metadata visualization, tool support for scientific applications, and data mining tools for various cyberinfrastructure component.
机译：随着数据的丰富，科学越来越需要强大的新型网络基础设施。网络基础设施侧重于使用大规模数据和处理基础设施进行实验和分析工作的迫切需求，但是记录，保存，访问和重用所得数据科学输出的问题却在很大程度上无法满足以下要求：开始从事大科学。近年来，escience可能已经引起了很多关注，但是它遗留下来的长期信息管理和管理问题却没有得到解决。

CIMS'07是一个旨在促进在从事计算机基础设施问题的计算机科学家之间进行讨论并交换想法，以进行科学应用。我们接受了一系列激动人心的论文，将在研讨会上进行介绍和讨论。在研讨会期间，我们希望能够重新定义这个新领域，发现与创建计算基础架构相关的问题，更重要的是在管理，管理和保存数据以供科学应用方面，了解令人兴奋的研究方向并提出一些解决方案我们的参与者之前已经解决过的一些问题。研讨会将讨论有关数据建模，数据保存，数据和元数据可视化，科学应用程序的工具支持以及各种网络基础设施组件的数据挖掘工具的论文。

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