Student: Lisa-Marie Huber (Start: 2019)
Supervisor: a.Univ.-Prof. DI Dr. Wolfram Wöß
Co-Supervisor: DI Lisa Ehrlinger, BSc
Motivation and Challenges
Blockchain technology is widely known for its security aspects to make stored data “tamper-proof”. At our institute, we developed a program called BlocK-DaQ (Blockchain-based Knowledge Graph for Data Quality Measurement), which supports the creation of a domain knowledge graph that integrates multiple heterogeneous data sources within a company environment. BlocK-DaQ facilitates continuous data quality monitoring of those data sources and to trace changes in the local schemas. Thus, we want to evaluate the feasibility of Blockchain to secure the KG in BlocK-DaQ for two reasons:
The aim of this thesis is to investigate existing Blockchain frameworks for their suitability to store domain knowledge in form of a knowledge graph. As proof-of-concept, blockchain characteristics should added to the BlocK-DaQ knowledge graph in order to evaluate the advantages and disadvantages.