Persistent Identifier
|
doi:10.18419/darus-3364 |
Publication Date
|
2023-03-03 |
Title
| BHoM to bhOWL converter |
Author
| Elshani, Diellza (University of Stuttgart) - ORCID: 0000-0003-2902-341X
Lombardi, Alessio (Buro Happold)
Hernández, Daniel (Department for Analytic Computing (AC), Institute for Parallel and Distributed Systems (IPVS), University of Stuttgart) - ORCID: 0000-0002-7896-0875
Staab, Steffen (Department for Analytic Computing (AC), Institute for Parallel and Distributed Systems (IPVS), University of Stuttgart) - ORCID: 0000-0002-0780-4154
Fisher, Al (Buro Happold)
Wortmann, Thomas (University of Stuttgart) - ORCID: 0000-0002-5604-1624 |
Point of Contact
|
Use email button above to contact.
Elshani, Diellza (University of Stuttgart)
Wortmann, Thomas (University of Stuttgart) |
Description
| 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. |
Subject
| Computer and Information Science |
Keyword
| Knowledge Graph https://www.wikidata.org/wiki/Q33002955 (Wikidata)
RDF (Document markup language) http://id.loc.gov/authorities/subjects/sh2003010124 (LCSH) |
Related Publication
| Elshani, D., Lombardi, A., Fisher, A., Staab, S., Hernández, D., & Wortmann, T. (2022). Knowledge Graphs for Multidisciplinary Co-Design: Introducing RDF to BHoM. In: Proceedings of the 10th Linked Data in Architecture and Construction Workshop (LDAC 2022). CEUR Workshop Proceedings 3213, pp. 32-42. url https://ceur-ws.org/Vol-3213/paper03.pdf https://ceur-ws.org/Vol-3213/paper03.pdf
Elshani, D., Lombardi, A., Fisher, A., Staab, S., Hernández, D. & Wortmann, T. (2022). Inferential Reasoning in Co-Design Using Semantic Web Standards alongside BHoM. In M. Slepicka, L. Kolbeck, S. Esser, K. Forth, F. Noichl & J. Schlenger (eds.), Proceedings of 33. Forum Bauinformatik, München: Technische Universität München, DOI: 10.14459/2022md1686600, (p./pp. 89-97). url https://mediatum.ub.tum.de/node?id=1688378 https://mediatum.ub.tum.de/node?id=1688378
Elshani, D., Wortmann, T., & Staab, S. (2022). Towards Better Co-Design with Disciplinary Ontologies: Review and Evaluation of Data Interoperability in the AEC Industry. In: Proceedings of the 10th Linked Data in Architecture and Construction Workshop (LDAC 2022). CEUR Workshop Proceedings 3213, pp. 43-52. url https://ceur-ws.org/Vol-3213/paper04.pdf https://ceur-ws.org/Vol-3213/paper04.pdf |
Contributor
| Work Package Leader : Elshani, Diellza
Project Leader : Wortmann, Thomas
Researcher : Hernández, Daniel
Project Leader : Staab, Steffen
Related Person : Wagner, Aaron
Data Curator : Lombardi, Alessio
Work Package Leader : Fisher, Al |
Funding Information
| DFG: EXC 2120/1 - 390831618 |
Project
| EXC IntCDC (Level 0)
Research Project 20 (Level 1) |
Depositor
| Elshani, Diellza |
Deposit Date
| 2023-02-26 |