U-Compare: share and compare text mining tools with UIMA.
U-Compare: share and compare text mining tools with UIMA.
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DOI：
10.1093/bioinformatics/btp289
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发表时间：
2009-08-01
期刊：
影响因子：
--
通讯作者：
Tsujii J
中科院分区：
文献类型：
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作者：
Kano Y;Baumgartner WA Jr;McCrohon L;Ananiadou S;Cohen KB;Hunter L;Tsujii J
总结：由于生物学家可用的文本挖掘资源（工具和语料库）越来越多，这些资源之间的互操作性问题正在成为有效使用它们的重大障碍。UIMA，即非结构化信息管理体系结构，是一个开放的框架，旨在帮助构建更具互操作性的工具。U-Compare构建在UIMA框架之上，为开箱即用的文本挖掘提供了一个具体的框架，并提供了一个复杂的评估平台，允许用户在任何目标文本上运行特定的工具，生成详细的统计数据和基于实例的可视化输出。U-Compare是一个联合项目，提供世界上最大的，并且仍在增长的UIMA兼容资源集合。这些资源最初由不同的团体为不同的领域开发，包括许多著名的工具和语料库。U-Compare可以直接从Web启动，而无需手动安装。所有U-Compare组件都是现成可用的，可以通过拖放界面轻松组合，无需任何编程。外部UIMA组件也可以简单地与U-Compare组件混合，而不区分本地和远程部署的资源。可用性：www.example.com联系人：www.example.com
Summary: Due to the increasing number of text mining resources (tools and corpora) available to biologists, interoperability issues between these resources are becoming significant obstacles to using them effectively. UIMA, the Unstructured Information Management Architecture, is an open framework designed to aid in the construction of more interoperable tools. U-Compare is built on top of the UIMA framework, and provides both a concrete framework for out-of-the-box text mining and a sophisticated evaluation platform allowing users to run specific tools on any target text, generating both detailed statistics and instance-based visualizations of outputs. U-Compare is a joint project, providing the world's largest, and still growing, collection of UIMA-compatible resources. These resources, originally developed by different groups for a variety of domains, include many famous tools and corpora. U-Compare can be launched straight from the web, without needing to be manually installed. All U-Compare components are provided ready-to-use and can be combined easily via a drag-and-drop interface without any programming. External UIMA components can also simply be mixed with U-Compare components, without distinguishing between locally and remotely deployed resources. Availability: http://u-compare.org/ Contact: kano@is.s.u-tokyo.ac.jp
生物医学文本挖掘系统的大规模，灵活评估的开源框架。
DOI：
10.1186/1747-5333-3-1
发表时间：
2008-01-29
期刊：
Journal of biomedical discovery and collaboration
影响因子：
--
作者：
Baumgartner WA Jr;Cohen KB;Hunter L
通讯作者：
Hunter L