Automated Knowledge Graph Construction From Raw Log Data.
Andreas Ekelhart, Fajar J. Ekaputra, Elmar Kiesling · ePubWU Institutional Repository (Wirtschaftsuniversität Wien) · 2020
Logs are a crucial source of information to diagnose the health and status of systems, but their manual investigation typically does not scale well and often leads to a lack of awareness and incomplete transparency about issues.To tackle this challenge, we introduce SLOGERT, a flexible framework and workflow for automated construction of knowledge graphs from arbitrary raw log messages.To this end, we combine a variety of techniques to facilitate a knowledge-based approach to log analysis.