oru.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
InSpace3D: A Middleware for Built Environment Data Access and Analytics
Spatial Cognition Research Center (SFB / TR 8) and Cognitive Systems (CoSy), University of Bremen, Bremen, Germany.
Spatial Cognition Research Center (SFB / TR 8) and Cognitive Systems (CoSy), University of Bremen, Bremen, Germany. (AASS)ORCID iD: 0000-0002-6290-5492
2013 (English)In: International Conference on Computational Science, ICCS 2013, Elsevier , 2013, Vol. 18, p. 80-89Conference paper, Published paper (Refereed)
Abstract [en]

Standardisation, archiving, and digital access of spatial data pertaining to built-up environments is an area acquiring increasing attention amongst several interest groups: policy makers, designers and planners, civil engineers, infrastructure management and public service personnel, building users. Initiatives such as the Building Information Model (BIM), Industry Foundation Classes (IFC), and CityGML are creating the information-theoretic backbone that guides the crucial aspects of quality, exchange, and interoperability of spatial data at the environmental and urban scale. However, due to the inherent scale, complexity, and detailed geometric character of building information data, extracting useful semantic and qualitative knowledge for accomplishing high-level analytical tasks is still an extremely complex and error prone process involving data intensive computing. We propose a uniform spatial data access middleware that can provide a combination of high-level, multi-modal, semantic, and quantitative-qualitative spatial data access and analytical capability. We present the core computational capabilities for the proposed middleware and present an overview of the high-level spatial model and its compliance with the industry standard IFC. A key theoretical contribution is a framework for investigating the computational complexity of deriving spatial artefacts within the context of building informatics. Additionally, we empirically investigate the feasibility and practicality of the derivation of spatial artefacts by conducting experiments on seven industry-scale IFC models. The experiment results show that, despite having non-linear polynomial increase with respect to time, deriving spatial artefacts is practical with large designs.

Place, publisher, year, edition, pages
Elsevier , 2013. Vol. 18, p. 80-89
Series
Procedia Computer Science, ISSN 1877-0509 ; 18
Keywords [en]
Architecture; Spatial Analysis; Artificial Intelligence; Building Information Model
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:oru:diva-64240DOI: 10.1016/j.procs.2013.05.171ISI: 000321051200008Scopus ID: 2-s2.0-84896915753OAI: oai:DiVA.org:oru-64240DiVA, id: diva2:1174483
Conference
13th Annual International Conference on Computational Science (ICCS 2013), Barcelona, Spain, June 5-7, 2013
Available from: 2018-01-15 Created: 2018-01-15 Last updated: 2018-01-17Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records BETA

Bhatt, Mehul

Search in DiVA

By author/editor
Bhatt, Mehul
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 40 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf