Abstract
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 data”, i.e. the multi-source, heterogeneous, and multi-format data. In this paper, we aim particularly at exploring the lexical structure of these log files in order to extract the terms used in log files. These terms will be used in the building of domain ontology and also in enrichment of features of log files corpus. According to features of such textual data, applying the classical methods of information extraction is not an easy task, more particularly for terminology extraction. Here, we introduce a new developed version of Exterlog, our approach to extract the terminology from log files, which is guided by Web to evaluate the extracted terms. We score the extracted terms by a Web and context based measure. We favor the more relevant terms of domain and emphasize the precision by filtering terms based on their scores. The experiments show that Exterlog is well-adapted terminology extraction approach from log files.
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Saneifar, H., Bonniol, S., Laurent, A., Poncelet, P., Roche, M.: Terminology extraction from log files. In: Bhowmick, S.S., Küng, J., Wagner, R. (eds.) DEXA 2009. LNCS, vol. 5690, pp. 769–776. Springer, Heidelberg (2009)
Yamanishi, K., Maruyama, Y.: Dynamic syslog mining for network failure monitoring. In: KDD 2005: Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery in Data Mining, pp. 499–508. ACM, New York (2005)
Facca, F.M., Lanzi, P.L.: Mining interesting knowledge from weblogs: a survey. Data Knowl. Eng. 53(3), 225–241 (2005)
Voorhees, E.M.: Query expansion using lexical-semantic relations. In: SIGIR 1994: Proceedings of the 17th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 61–69. Springer, Heidelberg (1994)
Dey, L., Singh, S., Rai, R., Gupta, S.: Ontology aided query expansion for retrieving relevant texts. In: Szczepaniak, P.S., Kacprzyk, J., Niewiadomski, A. (eds.) AWIC 2005. LNCS (LNAI), vol. 3528, pp. 126–132. Springer, Heidelberg (2005)
Even, F., Enguehard, C.: Extraction d’informations à partir de corpus dégradés. In: Proceedings of 9ème Conference sur le Traitement Automatique des Langues Naturelles (TALN 2002), pp. 105–115 (2002)
Mollá, D., Vicedo, J.L.: Question answering in restricted domains: An overview. Computational Linguistics 33(1), 41–61 (2007)
Roche, M., Heitz, T., Matte-Tailliez, O., Kodratoff, Y.: Exit: Un système itératif pour l’extraction de la terminologie du domaine à partir de corpus spécialisés. In: Proceedings of JADT 2004 (International Conference on Statistical Analysis of Textual Data), vol. 2, pp. 946–956 (2004)
meng Tan, C., fang Wang, Y., do Lee, C.: The use of bigrams to enhance text categorization. In: Inf. Process. Manage, pp. 529–546 (2002)
Grobelnik, M.: Word sequences as features in text-learning. In: Proceedings of the 17th Electrotechnical and Computer Science Conference (ERK 1998), pp. 145–148 (1998)
David, S., Plante, P.: De la nécessité d’une approche morpho-syntaxique en analyse de textes. Intelligence Artificielle et Sciences Cognitives au Québec 2(3), 140–155 (1990)
Collier, N., Nobata, C., Tsujii, J.: Automatic acquisition and classification of terminology using a tagged corpus in the molecular biology domain. Journal of Terminology, John Benjamins 7(2), 239–257 (2002)
Lin, D.: Extracting collocations from text corpora. In: First Workshop on Computational Terminology, pp. 57–63 (1998)
Smadja, F.: Retrieving collocations from text: Xtract. Comput. Linguist. 19(1), 143–177 (1993)
Bourigault, D., Fabre, C.: Approche linguistique pour l’analyse syntaxique de corpus. Cahiers de Grammaire - Université Toulouse le Mirail (25), 131–151 (2000)
Daille, B.: Conceptual structuring through term variations. In: Proceedings of the ACL 2003, Workshop on Multiword Expressions, Morristown, NJ, USA, Association for Computational Linguistics, pp. 9–16 (2003)
Evans, D.A., Zhai, C.: Noun-phrase analysis in unrestricted text for information retrieval. In: Proceedings of the 34th Annual Meeting on Association for Computational Linguistics, Morristown, NJ, USA, Association for Computational Linguistics, pp. 17–24 (1996)
Brill, E.: A simple rule-based part of speech tagger. In: Proceedings of the Third Conference on Applied Natural Language Processing, pp. 152–155 (1992)
Amrani, A., Kodratoff, Y., Matte-Tailliez, O.: A semi-automatic system for tagging specialized corpora. In: Dai, H., Srikant, R., Zhang, C. (eds.) PAKDD 2004. LNCS (LNAI), vol. 3056, pp. 670–681. Springer, Heidelberg (2004)
Daille, B.: Study and Implementation of Combined Techniques for Automatic Extraction of Terminology. In: The Balancing Act: Combining Symbolic and Statistical Approaches to Language, pp. 49–66. MIT Press, Cambridge (1996)
Church, K.W., Hanks, P.: Word association norms, mutual information, and lexicography. Computational Linguistics 16, 22–29 (1990)
Daille, B.: Approche mixte pour l’extraction automatique de terminologie: statistiques lexicales et filtres linguistiques. PhD thesis, Universit Paris 7 (1994)
Roche, M., Prince, V.: AcroDef: A quality measure for discriminating expansions of ambiguous acronyms. In: Kokinov, B., Richardson, D.C., Roth-Berghofer, T.R., Vieu, L. (eds.) CONTEXT 2007. LNCS (LNAI), vol. 4635, pp. 411–424. Springer, Heidelberg (2007)
Smadja, F., McKeown, K.R., Hatzivassiloglou, V.: Translating collocations for bilingual lexicons: A statistical approach. Computational Linguistics 22(1), 1–38 (1996)
Salton, G., Buckley, C.: Term weighting approaches in automatic text retrieval. Technical report, Ithaca, NY, USA (1987)
Flach, P., Blockeel, H., Ferri, C., Hernández-Orallo, J., Struyf, J.: Decision support for data mining: An introduction to ROC analysis and its applications. In: Data Mining and Decision Support: Integration and Collaboration pages, pp. 81–90. Kluwer, Dordrecht (2003)
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Saneifar, H., Bonniol, S., Laurent, A., Poncelet, P., Roche, M. (2011). How to Rank Terminology Extracted by Exterlog . In: Fred, A., Dietz, J.L.G., Liu, K., Filipe, J. (eds) Knowledge Discovery, Knowlege Engineering and Knowledge Management. IC3K 2009. Communications in Computer and Information Science, vol 128. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19032-2_9
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DOI: https://doi.org/10.1007/978-3-642-19032-2_9
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