Skip to main content

ioc:location – Eine Ontologie für die Verortung raumbezogener Bauprozessdaten

  • Chapter
  • First Online:
IoC - Internet of Construction

Zusammenfassung

Um die Informationslücken in der Ausführungsphase mithilfe von Linked Data Ansätzen zu schließen, wurde im Bauwesen bereits eine Vielzahl unterschiedlicher Ontologien entwickelt. Diese sind unter anderem dazu in der Lage Gebäudetopologien, Bauelemente oder Technische Gebäudeausrüstung abzubilden [1,2,3]. Auch die Erfassung des Baustellenkontexts wurde in der jüngeren Vergangenheit angegangen [4, 5]. Die hier erreichten Fortschritte weisen jedoch im Bereich der Abbildung räumlicher Informationen im Baustellenkontext noch Lücken auf..

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 59.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 74.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Literatur

  1. Rasmussen MH, Lefrançois M, Schneider GF, Pauwels P (2020) BOT: The building topology ontology of the W3C linked building data group. SW 12(1):143–161. https://doi.org/10.3233/SW-200385

  2. W3C (2017) Semantic Sensor Network Ontology. https://www.w3.org/TR/vocab-ssn/. Zugegriffen: 28. September 2022

  3. Wagner A, Rüppel U (2019) BPO: The building product ontology for assembled products Proceedings of the 7th Linked Data in Architecture and Construction workshop (LDAC 2019)’, Lisbon, Portugal, S 12

    Google Scholar 

  4. Getuli V (2019) An ontology-based BIM Expert System for temporal and spatial construction planning

    Google Scholar 

  5. Zheng Y, Törmä S, Seppänen O (2021) A shared ontology suite for digital construction workflow. Automation in Construction 132:103930. https://doi.org/10.1016/j.autcon.2021.103930

    Article  Google Scholar 

  6. Borrmann A, König M, Koch C, Beetz J (2021) Building Information Modeling. Springer Fachmedien Wiesbaden, Wiesbaden

    Book  Google Scholar 

  7. Peter Wildemann, Leonhard Weiss GmbH & Co. KG (01_2022) Experteninterview

    Google Scholar 

  8. Hammar K, Wallin EO, Karlberg P, Hälleberg D (2019) The RealEstateCore Ontology. In: Ghidini C, Hartig O, Maleshkova M, Svátek V, Cruz I, Hogan A, Song J, Lefrançois M, Gandon F (Hrsg) The Semantic Web – ISWC 2019, Bd 11779. Springer International Publishing, Cham, S 130–145

    Google Scholar 

  9. Wagner A, Bonduel M, Pauwels P, Rüppel U (2020) Representing construction-related geometry in a semantic web context: A review of approaches. Automation in Construction 115:103130. https://doi.org/10.1016/j.autcon.2020.103130

    Article  Google Scholar 

  10. European Group for Intelligent Computing in Engineering (2015) 22nd EG-ICE International Workshop on Intelligent Computing in Engineering (EG-ICE15). Eindhoven, Netherlands, 13–15 July 2015. Curran Associates Inc, Red Hook, NY

    Google Scholar 

  11. Zhang C, Beetz J, Vries B de (2018) BimSPARQL: Domain-specific functional SPARQL extensions for querying RDF building data. SW 9(6):829–855. https://doi.org/10.3233/SW-180297

  12. Bonduel M, Wagner A, Pauwels P, Vergauwen M, Klein R (2019) Including widespread geometry formats in semantic graphs using RDF literals Proceedings of the 2019 European Conference on Computing in Construction. University College Dublin, S 341–350

    Google Scholar 

  13. Wagner A, Bonduel M, Pauwels P, Uwe R (2019) Relating geometry descriptions to its derivatives on the web Proceedings of the 2019 European Conference on Computing in Construction. University College Dublin, S 304–313

    Google Scholar 

  14. Noy NF, McGuinness DL, others (2001) Ontology development 101: A guide to creating your first ontology. Stanford knowledge systems laboratory technical report KSL-01-05 and …

    Google Scholar 

  15. W3C (2014) vCard Ontology – for describing People and Organizations. https://www.w3.org/TR/vcard-rdf/. Zugegriffen: 08. August 2022

  16. Building Topology Ontology. https://w3c-lbd-cg.github.io/bot/. Zugegriffen: 28. September 2022

  17. Lai KF, Chan YC (2020) Review of Construction Workspace Definition and Case Studies ISARC. Proceedings of the International Symposium on Automation and Robotics in Construction, Bd 37, S 301–306

    Google Scholar 

  18. DIN e. V. DIN EN ISO 19111:2020. Geoinformation – Koordinatenreferenzsysteme. Beuth-Verlag, Berlin

    Google Scholar 

  19. DIN e. V. DIN EN ISO 19112:2019. Geoinformation – Raumbezug mit (geographischen) Identifikatoren. Beuth-Verlag, Berlin

    Google Scholar 

  20. Pauwels P, McGlinn K (2022) Buildings and Semantics. CRC Press, London

    Book  Google Scholar 

  21. Jiang X, Peng Q, Cheng X, Dai N, Cheng C, Li D (2016) Efficient Booleans algorithms for triangulated meshes of geometric modeling. Computer-Aided Design and Applications 13(4):419–430. https://doi.org/10.1080/16864360.2015.1131530

    Article  Google Scholar 

  22. Debashis Das (2020) GeoBIM: Data formats and models for converging GIS & BIM. https://www.avineon.com/en/bene/blog/geobim-data-formats-and-models-for-converging-gis-bim. Zugegriffen: 28. September 2022

  23. Chen M, Chen XY, Tang K, Yuen MMF (2010) Efficient Boolean Operation on Manifold Mesh Surfaces. Computer-Aided Design and Applications 7(3):405–415. https://doi.org/10.3722/cadaps.2010.405-415

    Article  Google Scholar 

  24. Vossman, M. W. Toews (2006) A series of voxels in a stack with a single voxel shaded. https://commons.wikimedia.org/wiki/File:Voxels.svg. Zugegriffen: 28. September 2022

  25. McHenry K, Bajcsy P (2008) An overview of 3d data content, file formats and viewers. National Center for Supercomputing Applications 1205:22

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Bernward Hoffmann .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2024 Der/die Autor(en), exklusiv lizenziert an Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Hoffmann, B., Kirner, L., Brell-Cokcan, S. (2024). ioc:location – Eine Ontologie für die Verortung raumbezogener Bauprozessdaten. In: Brell-Cokcan, S., Schmitt, R.H. (eds) IoC - Internet of Construction . Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-42544-9_11

Download citation

Publish with us

Policies and ethics