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Automated Knowledge Graph Construction From Raw Log Data.

Year: 2020

Type: conference-paper

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 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.

Source: ePubWU Institutional Repository (Wirtschaftsuniversität Wien)

Authors: Andreas Ekelhart, Fajar J. Ekaputra, Elmar Kiesling

Language: English

Topic: Software System Performance and Reliability

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: Austrian Science Fund, Österreichische Forschungsförderungsgesellschaft

Award: Semantic Processing of Security Event Streams (SEPSES)

OpenAlex ID: W3108126732

FWCI: 0.54

Cites: 4

Cited by: 4

Related to: 10