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Informatik 5
Information Systems
Prof. Dr. M. Jarke
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Prof. Dr. Stefan Decker - Theses

Bachelor, Master
Celsius or Fahrenheit? Interoperable Machine Learning for the Internet of Production Using Semantics - Open
Supervised by Johannes Lipp, M.Sc., Patrick Sapel; Advisor(s): IKV Univ.-Prof. Christian Hopmann (RWTH), Prof. Dr. Stefan Decker
Analyzing a live data integration of an injection molding machine at the IKV, implementing an ontology extraction feature to the existing software (Java, .net o rPython) and adding semantics to the process. Demonstrate the results, e.g. via an ML example.
Exploring Unknown Environments - Finding Pollution in Underground Pipes - Open
Supervised by Prof. Dr.-Ing. Gerd Ascheid, Prof. Dr. Stefan Decker; Advisor(s): Dr. Michael Cochez, Ahmed Hallawa
A Distributed Data Revisioning System for the Internet of Production - Running
Supervised by Prof. Dr. Stefan Decker, Prof. Dr.-Ing. Klaus Wehrle; Advisor(s): Lars Gleim, M. Sc., Jan Pennekamp
In the context of this thesis, the student should implement a distributed data revisioning system, enabling interorganizational data reuse and extension in the Internet of Production and Internet of Things.
An Extensible Web Interface for Linked Data Platform Servers - Running
The Linked Data Platform (LDP) is a simple, standardized REST API that allows for the hierarchical organization of Linked Data, similar to a classical file system. While the standard is rather simple, manual interaction with the file system is tiresome and error prone. To simplify the interaction with the LDP server, a suitable web-based user interface for browsing, editing and visualizing LDP data with suitable Web Components should be developed in this work.
Bachelor, Master
Authenticity, Integrity and Trust for Data Reuse in Resource Oriented Architectures - Running
Supervised by Lars Gleim, M. Sc., Jan Pennekamp; Advisor(s): Prof. Dr. Stefan Decker, Prof. Dr.-Ing. Klaus Wehrle
Development of a content security model for authenticity and integrity in resource oriented architectures, based on content signing (public-key cryptography) and hash-chaining/Merkle trees (incorporating the hash/signature of previous revisions and referenced existing resources).
Automatic HyperGraphQL Bootstrapping for Triplestores - Running
Supervised by Prof. Dr. Stefan Decker, Prof. Markus Strohmaier; Advisor(s): Lars Gleim, M. Sc., Dipl.-Medieninf. István Koren
In the context of this bachelor thesis, the student should employ (existing) SPARQL queries to automatically extract the data schema (Ontology) of a given RDF graph and programmatically convert it to a HyperGraphQL Schema, thus greatly simplifying the deployment of GraphQL API endpoints for RDF Triplestores.