ORCID Profile
0000-0002-8295-9252
Current Organisations
TU Wien
,
National Institute of Informatics
,
Secure Business Austria
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Publisher: Elsevier BV
Date: 05-2013
Publisher: IEEE
Date: 09-2019
Publisher: MDPI AG
Date: 11-04-2022
DOI: 10.3390/MAKE4020016
Abstract: The integration of heterogeneous and weakly linked log data poses a major challenge in many log-analytic applications. Knowledge graphs (KGs) can facilitate such integration by providing a versatile representation that can interlink objects of interest and enrich log events with background knowledge. Furthermore, graph-pattern based query languages, such as SPARQL, can support rich log analyses by leveraging semantic relationships between objects in heterogeneous log streams. Constructing, materializing, and maintaining centralized log knowledge graphs, however, poses significant challenges. To tackle this issue, we propose VloGraph—a distributed and virtualized alternative to centralized log knowledge graph construction. The proposed approach does not involve any a priori parsing, aggregation, and processing of log data, but dynamically constructs a virtual log KG from heterogeneous raw log sources across multiple hosts. To explore the feasibility of this approach, we developed a prototype and demonstrate its applicability to three scenarios. Furthermore, we evaluate the approach in various experimental settings with multiple heterogeneous log sources and machines the encouraging results from this evaluation suggest that the approach can enable efficient graph-based ad-hoc log analyses in federated settings.
Publisher: Springer Berlin Heidelberg
Date: 2005
DOI: 10.1007/11546849
Publisher: SAGE Publications
Date: 09-09-2023
Location: Austria
No related grants have been discovered for A Min Tjoa.