Steindl, Gernot

Official Name
Steindl, Gernot
Main Affiliation
Institute of Electrical and Electronics Engineers (IEEE)
Österreichischer Verband für Elektrotechnik (OVE)
Email
gernot.steindl@hochschule-burgenland.at
ORCID
Scopus Author ID
57210927410
Status
staff

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    Scopus© Citations 4  12
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    Generic Digital Twin Architecture for Industrial Energy Systems
    (2020-12-13)
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    Stagl, Martin
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    Kasper, Lukas
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    Kastner, Wolfgang
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    Hofmann, Rene
    Scopus© Citations 147  1
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    Semantic Microservice Framework for Digital Twins
    (2021-06-18)
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    Kastner, Wolfgang
    Scopus© Citations 37  9
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    SigSPARQL: Signals as a First-Class Citizen when Querying Knowledge Graphs1
    (2025-08-26)
    Schwarzinger, Tobias
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    Frühwirth, Thomas
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    Preindl, Thomas
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    Diwold, Konrad 
      14
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    Deriving semantic validation rules from industrial standards: An OPC UA study
    (2023-06-19)
    Bareedu, Yashoda Saisree
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    Frühwirth, Thomas
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    Niedermeier, Christoph
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    Sabou, Marta
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    Industrial standards provide guidelines for data modeling to ensure interoperability between stakeholders of an industry branch (e.g., robotics). Most frequently, such guidelines are provided in an unstructured format (e.g., pdf documents) which hampers the automated validations of information objects (e.g., data models) that rely on such standards in terms of their compliance with the modeling constraints prescribed by the guidelines. This raises the risk of costly interoperability errors induced by the incorrect use of the standards. There is, therefore, an increased interest in automatic semantic validation of information objects based on industrial standards. In this paper we focus on an approach to semantic validation by formally representing the modeling constraints from unstructured documents as explicit, machine-actionable rules (to be then used for semantic validation) and (semi-)automatically extracting such rules from pdf documents. While our approach aims to be generically applicable, we exemplify an adaptation of the approach in the concrete context of the OPC UA industrial standard, given its large-scale adoption among important industrial stakeholders and the OPC UA internal efforts towards semantic validation. We conclude that (i) it is feasible to represent modeling constraints from the standard specifications as rules, which can be organized in a taxonomy and represented using Semantic Web technologies such as OWL and SPARQL; (ii) we could automatically identify modeling constraints in the specification documents by inspecting the tables ( P = 87 %) and text of these documents (F1 up to 94%); (iii) the translation of the modeling constraints into formal rules could be fully automated when constraints were extracted from tables and required a Human-in-the-loop approach for constraints extracted from text.
      12
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    Comparison of Black Box Models for Load Profile Generation of District Heating Networks
    (2017-10)
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    Black box modeling is a fast and efficient way of creating models for generating the heat demand of a district heating networks. A sufficient amount of high quality data has to be collected to form the basis for a valid model that can serve as training and test stand for the models. The model parameters and their influence on the heat demand are investigated and a model structure is derived. With this structure, five data mining algorithms, namely Multiple Linear Regression (LR), Support Vector Regression (SVR), Random Forest (RF), k-Nearest Neighbor (k-NN) and Artificial Neural Networks (ANN) are utilized for creating the load models for a small district heating network located in southeast of Austria. Except for LR, all algorithms showed a good performance. They are well suited for that kind of task. K-NN has the best regression score metric with an average MAPE of 13.49 %.
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    Utilizing Large Language Models for Automated Log-Based Thing Description Generation1
    (2025-08-26)
    Thoma, Max
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    Esterbauer, Leonhard
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    Preindl, Thomas
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      7
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    Ten questions concerning building information modeling (BIM): Energy-efficiency in design, construction, and operation
    (2026-05)
    Hammes, Sascha
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    Zech, Philipp
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    Geisler-Moroder, David
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    Weninger, Johannes
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    Scopus© Citations 3  7