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http://dx.doi.org/10.3745/KIPSTD.2006.13D.2.147

XML-based Modeling for Semantic Retrieval of Syslog Data  

Lee Seok-Joon (중앙대학교 대학원 정보시스템학과)
Shin Dong-Cheon (중앙대학교 정보시스템학과)
Park Sei-Kwon (중앙대학교 정보시스템학과)
Publication Information
The KIPS Transactions:PartD / v.13D, no.2, 2006 , pp. 147-156 More about this Journal
Abstract
Event logging plays increasingly an important role in system and network management, and syslog is a de-facto standard for logging system events. However, due to the semi-structured features of Common Log Format data most studies on log analysis focus on the frequent patterns. The extensible Markup Language can provide a nice representation scheme for structure and search of formatted data found in syslog messages. However, previous XML-formatted schemes and applications for system logging are not suitable for semantic approach such as ranking based search or similarity measurement for log data. In this paper, based on ranked keyword search techniques over XML document, we propose an XML tree structure through a new data modeling approach for syslog data. Finally, we show suitability of proposed structure for semantic retrieval.
Keywords
Event Logging; Semantic Retrieval; XML;
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