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Information Research is a freely available, international, scholarly journal, dedicated to making accessible the results of research across a wide range of information-related disciplines.
nodegoat is a web-based data management, network analysis & visualisation environment. Using nodegoat, you can create and manage any number of datasets by use of a graphic user interface. Your own data model autoconfigures the backbone of nodegoat's core functionalities. Within nodegoat you are able to instantly analyse and visualise datasets. nodegoat allows you to enrich data with relational, geographical and temporal attributes. Therefore, the modes of analysis are inherently diachronic and ready-to-use for interactive maps and extensive trailblazing.
The dataset is the release version v2.0.0 of the BHoM to bhOWL converter, which helps convert BHoM data to a knowledge graph in any software BHoM supports. BHoM (The Buildings and Habitats object Model) is collaborative framework that runs within several AEC design software, which helps to represent data in a object oriented database model. OWL (Web Ontology Language) provides a standardized and expressive language for representing knowledge and relationships within a domain. It allows for the creation of ontologies, which are formal descriptions of the concepts and relationships within a domain. Additionally, OWL can support reasoning and inference over ontologies, allowing for automated reasoning about the relationships between different concepts and data elements. This can be particularly useful in identifying inconsistencies or gaps in data, or in suggesting additional data sources or mappings that may be needed to support integration efforts. Our BHoM to bhOWL converter is developed as an extension to BHoM framework, and runs within any software that BHoM supports (eg. Grasshopper 3D, Excel, etc.) The dataset contains also example Grasshopper 3D files that exemplify the process of converting BHoM data to bhOWL.
J. Pelzer, und M. Schulte. Dataset, (2023)Related to: Pelzer, Julia, and Miriam Schulte. "Efficient two-stage modeling of heat plume interactions of geothermal heat pumps in shallow aquifers using convolutional neural networks." Geoenergy Science and Engineering (2024): 212788. doi: 10.1016/j.geoen.2024.212788.
J. Pelzer, und M. Schulte. Dataset, (2023)Related to: Pelzer, Julia, and Miriam Schulte. "Efficient two-stage modeling of heat plume interactions of geothermal heat pumps in shallow aquifers using convolutional neural networks." Geoenergy Science and Engineering (2024): 212788. doi: 10.1016/j.geoen.2024.212788.
J. Pelzer, und M. Schulte. Dataset, (2024)Related to: Miliczek, Pascal. "Rotational Equivariance in Convolutional Neural Networks (CNNs) for Modelling Heat Plumes of Heat Pumps in Groundwater". Bachelor Thesis (2024). doi: 10.18419/opus-15412.
J. Pelzer, und M. Schulte. Software, (2024)Related to: Pelzer, Julia, and Miriam Schulte. "Efficient two-stage modeling of heat plume interactions of geothermal heat pumps in shallow aquifers using convolutional neural networks." Geoenergy Science and Engineering (2024): 212788. doi: 10.1016/j.geoen.2024.212788.
J. Pelzer, und M. Schulte. Software, (2024)Related to: Pelzer, Julia, and Miriam Schulte. "Efficient two-stage modeling of heat plume interactions of geothermal heat pumps in shallow aquifers using convolutional neural networks." Geoenergy Science and Engineering (2024): 212788. doi: 10.1016/j.geoen.2024.212788.
J. Pelzer, und M. Schulte. Dataset, (2024)Related to: Johanna Trick. "Erweiterung eines Convolutional Neural Network auf 3D zur Modellierung von Grundwasserwärmepumpen". Bachelor Thesis (2024). (unpublished).
J. Pelzer, und M. Schulte. Dataset, (2024)Related to: Pelzer, Julia, and Miriam Schulte. "Scalable Machine Learning Approach for Heat Transport in Groundwater". In proceedings of 23rd International Conference of Machine Learning and Applications (2024). In progress.
J. Pelzer, und M. Schulte. Dataset, (2025)Related to: Pelzer, Julia and Verburg, Corné and Heinlein, Alexander and Schulte, Miriam. "Few-Shot Learning by Explicit Physics Integration: An Application to Groundwater Heat Transport". 2025. Submitted.
J. Pelzer, und M. Schulte. Dataset, (2025)Related to: Pelzer, Julia and Verburg, Corné and Heinlein, Alexander and Schulte, Miriam. "Few-Shot Learning by Explicit Physics Integration: An Application to Groundwater Heat Transport". 2025. Submitted.
J. Pelzer, C. Verburg, und M. Schulte. Dataset, (2025)Related to: Pelzer, Julia and Verburg, Corné and Heinlein, Alexander and Schulte, Miriam. "Few-Shot Learning by Explicit Physics Integration: An Application to Groundwater Heat Transport". 2025. Submitted.
J. Pelzer, und M. Schulte. Dataset, (2025)Related to: Pelzer, Julia and Verburg, Corné and Heinlein, Alexander and Schulte, Miriam. "Few-Shot Learning by Explicit Physics Integration: An Application to Groundwater Heat Transport". 2025. Submitted.
J. Pelzer, und M. Schulte. Dataset, (2025)Related to: Pelzer, Julia and Verburg, Corné and Heinlein, Alexander and Schulte, Miriam. "Few-Shot Learning by Explicit Physics Integration: An Application to Groundwater Heat Transport". 2025. Submitted.
M. Zorn, L. Claus, C. Frenzel, und T. Wortmann. Dataset, (2024)Related to: M. Zorn, L. Claus, C. Frenzel, T. Wortmann, "Optimizing an expensive multi-objective building performance problem: Benchmarking model-based optimization algorithms against metaheuristics with and without surrogates." - Submitted to Energy and Buildings.
S. Leder, und A. Menges. Dataset, (2025)Related to: Leder, S., Menges, A.: 2023, Architectural design in collective robotic construction. Automation in Construction, Vol. 156, p. 105082. doi: 10.1016/j.autcon.2023.105082.
L. Orozco, L. Skoury, und A. Menges. Software, (2024)Related to: Orozco, L., Krtschil, A., Wagner, H. J., Bechert, S., Amtsberg, F., Skoury, L., Knippers, J., & Menges, A. (2021). Design Methods for Variable Density, Multi-Directional Composite Timber Slab Systems for Multi-Storey Construction. In V. Stojaković & B. Tepavčević (Chairs), Towards a New, Configurable Architecture. Symposium conducted at the meeting of Education and Research in Computer Aided Architectural Design in Europe, University of Novi Sad, Novi Sad, Serbia. doi: 10.52842/conf.ecaade.2021.1.303.
K. Udaykumar, L. Orozco, A. Krtschil, A. Menges, und J. Knippers. Software, (2024)Related to: Udaykumar, K., Orozco, L., Krtschil, A., Menges, A., & Knippers, J. (2023). Interactive gradient-decent optimization method for timber column-slab structures. In Proceedings of IASS Annual Symposia, IASS 2023 Melbourne Symposium: Optimisation methods and applications. International Association for Shell and Spatial Structures (IASS). url: https://www.ingentaconnect.com/contentone/iass/piass/2023/00002023/00000008/art00010.
M. Koch, K. Kurzhals, Q. Ngo, und D. Weiskopf. Dataset, (2024)Related to: Daniel Klötzl, Tim Krake, Frank Heyen, Michael Becher, Maurice Koch, Daniel Weiskopf, and Kuno Kurzhals. 2024. NMF-Based Analysis of Mobile Eye-Tracking Data. In 2024 Symposium on Eye Tracking Research and Applications (ETRA ’24), June 4-7, 2024, Glasgow, United Kingdom. ACM, New York, NY, USA, 9 pages. doi: 10.1145/3649902.3653518.
K. Udaykumar, L. Orozco, A. Krtschil, A. Menges, und J. Knippers. Software, (2024)Related to: Udaykumar, K., Orozco, L., Krtschil, A., Menges, A., & Knippers, J. (2023). Interactive gradient-decent optimization method for timber column-slab structures. In Proceedings of IASS Annual Symposia, IASS 2023 Melbourne Symposium: Optimisation methods and applications. International Association for Shell and Spatial Structures (IASS). url: https://www.ingentaconnect.com/contentone/iass/piass/2023/00002023/00000008/art00010.
L. Orozco, L. Skoury, und A. Menges. Software, (2024)Related to: Orozco, L., Krtschil, A., Wagner, H. J., Bechert, S., Amtsberg, F., Skoury, L., Knippers, J., & Menges, A. (2021). Design Methods for Variable Density, Multi-Directional Composite Timber Slab Systems for Multi-Storey Construction. In V. Stojaković & B. Tepavčević (Chairs), Towards a New, Configurable Architecture. Symposium conducted at the meeting of Education and Research in Computer Aided Architectural Design in Europe, University of Novi Sad, Novi Sad, Serbia. doi: 10.52842/conf.ecaade.2021.1.303.
M. Koch, N. Pathmanathan, D. Weiskopf, und K. Kurzhals. Dataset, (2024)Related to: Maurice Koch, Nelusa Pathmanathan, Daniel Weiskopf, and Kuno Kurzhals.2024. How Deep Is Your Gaze? Leveraging Distance in Image-Based GazeAnalysis. In 2024 Symposium on Eye Tracking Research and Applications(ETRA ’24), June 04–07, 2024, Glasgow, United Kingdom. ACM, New York,NY, USA, 7 pages. doi: 10.1145/3649902.3653349.
