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Andreas Ekelhart

Andreas is a researcher at University of Vienna and SBA Research. His main research interests include semantic applications and machine learning to strengthen cybersecurity.

Skills:

IT Security

Semantic applications

Programming

Simulation

Attacker modeling

Ontologies

Machine Learning

LLMs

Projekte & Rollen

Semantische Verarbeitung sicherheitsbezogener Ereignisströme

WebSecBot

Blogbeiträge

The SLOGERT Framework for Automated Log Knowledge Graph Construction (ESWC 2021)

SLOGERT is an approach to (semi-)automatically transform raw log data, i.e., textual records of system events, into RDF graphs following a sequence of processes. SLOGERT supports automatic identification of rich RDF graph modelling patterns to repres...

Automated Knowledge Graph Construction From Raw Log Data

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 challe...

Report from the Semantics 2019 Conference

Semantics 2019 Trip Report

The SEPSES knowledge graph: An integrated resource for cybersecurity (ISWC 2019)

Resource paper @ISWC

Semantic Integration and Monitoring of File System Activity (Semantics 2019)

Semantics 2019 - Poster & Demo Session