BHoM to bhOWL converter (doi:10.18419/darus-3364)

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Document Description

Citation

Title:

BHoM to bhOWL converter

Identification Number:

doi:10.18419/darus-3364

Distributor:

DaRUS

Date of Distribution:

2023-03-03

Version:

1

Bibliographic Citation:

Elshani, Diellza; Lombardi, Alessio; Hernández, Daniel; Staab, Steffen; Fisher, Al; Wortmann, Thomas, 2023, "BHoM to bhOWL converter", https://doi.org/10.18419/darus-3364, DaRUS, V1

Study Description

Citation

Title:

BHoM to bhOWL converter

Identification Number:

doi:10.18419/darus-3364

Authoring Entity:

Elshani, Diellza (University of Stuttgart)

Lombardi, Alessio (Buro Happold)

Hernández, Daniel (Department for Analytic Computing (AC), Institute for Parallel and Distributed Systems (IPVS), University of Stuttgart)

Staab, Steffen (Department for Analytic Computing (AC), Institute for Parallel and Distributed Systems (IPVS), University of Stuttgart)

Fisher, Al (Buro Happold)

Wortmann, Thomas (University of Stuttgart)

Other identifications and acknowledgements:

Elshani, Diellza

Other identifications and acknowledgements:

Wortmann, Thomas

Other identifications and acknowledgements:

Hernández, Daniel

Other identifications and acknowledgements:

Staab, Steffen

Other identifications and acknowledgements:

Wagner, Aaron

Other identifications and acknowledgements:

Lombardi, Alessio

Other identifications and acknowledgements:

Fisher, Al

Grant Number:

EXC 2120/1 - 390831618

Distributor:

DaRUS

Access Authority:

Elshani, Diellza

Access Authority:

Wortmann, Thomas

Depositor:

Elshani, Diellza

Date of Deposit:

2023-02-26

Holdings Information:

https://doi.org/10.18419/darus-3364

Study Scope

Keywords:

Computer and Information Science, Knowledge Graph, RDF (Document markup language)

Abstract:

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.

Methodology and Processing

Sources Statement

Data Access

Other Study Description Materials

Related Publications

Citation

Title:

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.

Identification Number:

https://ceur-ws.org/Vol-3213/paper03.pdf

Bibliographic Citation:

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.

Citation

Title:

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, <a href="https://doi.org/10.14459/2022md1686600">DOI: 10.14459/2022md1686600</a>, (p./pp. 89-97).

Identification Number:

https://mediatum.ub.tum.de/node?id=1688378

Bibliographic Citation:

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, <a href="https://doi.org/10.14459/2022md1686600">DOI: 10.14459/2022md1686600</a>, (p./pp. 89-97).

Citation

Title:

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.

Identification Number:

https://ceur-ws.org/Vol-3213/paper04.pdf

Bibliographic Citation:

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.

Other Study-Related Materials

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dotNetRDF.dll

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application/x-msdownload

Other Study-Related Materials

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Newtonsoft.Json.dll

Notes:

application/x-msdownload

Other Study-Related Materials

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RDF_Engine.dll

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application/x-msdownload

Other Study-Related Materials

Label:

RDF_oM.dll

Notes:

application/x-msdownload

Other Study-Related Materials

Label:

SourceCode_BHoM_to_bhOWL_Converter.zip

Notes:

application/zip

Other Study-Related Materials

Label:

VDS.Common.dll

Notes:

application/x-msdownload