This page contains information about our SLOGERT (Semantic LOG ExtRaction Templating) approach. SLOGERT aims to automatically extract and enrich low-level log data into an RDF Knowledge Graph that conforms to our LOG Ontology. It integrates
- LOGPAI for event pattern detection and parameter extractions from log lines
- Stanford NLP for parameter type detection and keyword extraction, and
- OTTR Engine for RDF generation.
- Apache Jena for RDF data manipulation.
Currently, we have tested our approach on text-based logs produced by Unix OSs, in particular:
- Apache,
- Kernel,
- Syslog,
- Auth, and
- FTP logs.
Links to Resources
- Our GitHub Page
- The LOG ontology
- The Log-Extraction ontology
- The example Background Knowledge Graph
- The Port-Service Knowledge Graph