Abstract
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 approach Exterlog to extract the terminology from log files. We detail how it deals with the particularity of such textual data. © 2009 Springer Berlin Heidelberg.
Cite
CITATION STYLE
Saneifar, H., Bonniol, S., Laurent, A., Poncelet, P., & Roche, M. (2009). Terminology extraction from log files. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5690 LNCS, pp. 769–776). https://doi.org/10.1007/978-3-642-03573-9_65
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
