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首页> 外文会议>2007 IEEE International Conference on Natural Language Processing and Knowledge Engineering(NLP-KE'07) >How to link information in text with knowledge------ Case study of text mining for pathway construction
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How to link information in text with knowledge------ Case study of text mining for pathway construction

机译：如何将文本中的信息与知识联系起来------以文本挖掘为路径构建的案例研究

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The importance of pathway as means of integrating biological knowledge into a coherent system has been increasingly recognized by the community of biologists. Due to research on formal frameworks and ontologies for pathway representation such as SBML, BioPath, etc., pathways have become not only graphical means of representing biological systems but also structured data bases of storing biological knowledge which should be continuously maintained to keep abreast with new relevant discoveries. However, the rapidly growing number of literature in the field makes it extremely difficult to identify relevant new discoveries which lead to revisions of portions in pathways.Furthermore, starting from graphical depiction of a rather small biological system, some of current pathways, which are used as organized knowledge base, have become a huge collection of nodes and links. It has become increasingly difficult, if not impossible, to associate discoveries in literature with relevant portions in such a large pathway.
机译：生物学作为一种将生物学知识整合到一个连贯的系统中的途径，其重要性已日益为生物学家所认可。由于对途径表示的正式框架和本体（例如SBML，BioPath等）进行了研究，途径不仅已成为代表生物系统的图形手段，而且已成为存储生物学知识的结构化数据库，应不断维护这些知识以与时俱进。相关发现。然而，该领域文学的迅速增长使得很难识别相关的新发现，从而导致对途径中各部分的修改。此外，从相当小的生物系统的图形化描述开始，使用了一些当前途径。作为有组织的知识库，已经成为节点和链接的巨大集合。将文学中的发现与如此大的途径中的相关部分相关联变得越来越困难，即使不是不可能。

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