Terminology Extraction from Log Files

نویسندگان

  • Hassan Saneifar
  • Stéphane Bonniol
  • Anne Laurent
  • Pascal Poncelet
  • Mathieu Roche
چکیده

In many domains, the log files generated by digital systems contain important information on the conditions and configurations of systems. Information Extraction from these log files is an essential phase in information systems, which manage the production line. In the case of Integrated Circuit designs, log files generated by design tools are not exhaustively exploited. Although these log files are written in English, they usually do not respect the grammar and the structures of natural language. Moreover, such logs have a heterogeneous and evolving structure. According to features of such textual data, applying the classical methods of information extraction is not an easy task, more particularly for terminology extraction. In this paper, we thus introduce our approach EXTERLOG to extract the terminology from such log files. We also aim at knowing if POS tagging of such log files is a relevant approach for terminology extraction.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

From Terminology Extraction to Terminology Validation: An Approach Adapted to Log Files

Log files generated by computational systems contain relevant and essential information. In some application areas like the design of integrated circuits, log files generated by design tools contain information which can be used in management information systems to evaluate the final products. However, the complexity of such textual data raises some challenges concerning the extraction of infor...

متن کامل

How to Rank Terminology Extracted by EXTERLOG

In many application areas, systems reports occurring events in a kind of textual data called usually log files. Log files report the status of systems, products, or even causes of problems that can occur. The Information extracted from log files of computing systems can be considered one of the important resources of information systems. Log files are considered as a kind of “complex textual da...

متن کامل

Mining for Relevant Terms from Log Files

The Information extracted from log files of computing systems can be considered one of the important resources of information systems. In the case of Integrated Circuit design, log files generated by design tools are not exhaustively exploited. The logs of this domain are multi-source, multi-format, and have a heterogeneous and evolving structure. Moreover, they usually do not respect the gramm...

متن کامل

Locating Information in Heterogeneous Log

Nowadays, modern computing systems are instrumented to generate huge reports inthe format of log files. Log files are generated to report the status of systems, products,or even causes of problems that can occur. Analysing log files, as an attractive ap-proach for automatic system management and monitoring, has been enjoying a growingamount of attention [Li et al., 2005]. Log fi...

متن کامل

Bilingual Termbank Creation via Log-Likelihood Comparison and Phrase-Based Statistical Machine Translation

Bilingual termbanks are important for many natural language processing (NLP) applications, especially in translation workflows in industrial settings. In this paper, we apply a log-likelihood comparison method to extract monolingual terminology from the source and target sides of a parallel corpus. Then, using a Phrase-Based Statistical Machine Translation model, we create a bilingual terminolo...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2009