Paper Info
Title
From Terminology Extraction to Terminology Validation: An Approach Adapted to Log Files
Abstract
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 information from log files. Log files are usually multi-source, multi-format, and have a heterogeneous and evolving structure. Moreover, they usually do not respect natural language grammar and structures even though they are written in English. Classical methods of information extraction such as terminology extraction methods are particularly irrelevant to this context. In this paper, we introduce our approach EXTERLOG to extract terminology from log files. We detail how it deals with the specific features of such textual data. The performance is emphasized by favoring the most relevant terms of the domain based on a scoring function which uses a Web and context based measure. The experiments show that Exterlog is a well-adapted approach for terminology extraction from log files.
Year
Venue
Keywords
2015
JOURNAL OF UNIVERSAL COMPUTER SCIENCE
Information Extraction,Natural Language Processing,Text Mining,Terminology Extraction,Terminology Ranking,Log Files
Field
DocType
Volume
Management information systems,Data mining,Information retrieval,Terminology,Computer science,Context based,Grammar,Natural language,Information extraction,Natural language processing,Artificial intelligence,Terminology extraction
Journal
21
Issue
ISSN
Citations 
4
0948-695X
2
PageRank 
References 
Authors
0.40
24
4
Name
Order
Citations
PageRank
Hassan Saneifar1194.16
Stéphane Bonniol2153.37
Pascal Poncelet3768126.47
Mathieu Roche422239.78