Projects per year
Abstract
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 incom- plete transparency about issues. To tackle this challenge, we introduce SLOGERT, a flexible framework and workflow for automated construc- tion of knowledge graphs from arbitrary raw log messages. To this end, we combine a variety of techniques to facilitate a knowledge-based ap- proach to log analysis.
Original language | English |
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Publication status | Published - 2020 |
Projects
- 1 Finished
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Semantic Processing of Security Event Streams
Kiesling, E., Ekelhart, A., Kurniawan, K. & Vidgof, M.
1/03/20 → 31/08/21
Project: Research funding