Terminology Extraction from Log Files

Terminology Extraction from Log Files
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从日志文件中提取术语

DOI:
10.1007/978-3-642-03573-9_65
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发表时间:
2009
期刊:
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影响因子:
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通讯作者:
M. Roche
M. Roche
中科院分区:
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文献类型:
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作者:
Hassan Saneifar;S. Bonniol;Anne Laurent;P. Poncelet;M. Roche

文献摘要

被引文献

相似文献

数字系统生成的日志文件可以作为系统状态下重要信息的来源,应用于管理信息系统中。但是,为了提取信息,不会详尽地利用日志文件。由于日志文件的特定特征(如异构结构、特殊词汇表以及不尊重自然语言语法),诸如术语提取方法之类的经典信息提取方法与此上下文无关。在本文中,我们介绍了从日志文件中提取术语的方法。我们详细介绍了它如何处理这种文本数据的特殊性。
The log files generated by digital systems can be used in management information systems as the source of important information on the condition of systems. However, log files are not exhaustively exploited in order to extract information. The classical methods of information extraction such as terminology extraction methods are irrelevant to this context because of the specific characteristics of log files like their heterogeneous structure, the special vocabulary and the fact that they do not respect a natural language grammar. In this paper, we introduce our approachExterlogto extract the terminology from log files. We detail how it deals with the particularity of such textual data.