Towards the Long-Term Preservation of Building
Information Models
Jakob Beetz, Stefan Dietze, René Berndt, Martin Tamke

Jakob Beetz (Eindhoven University of Technology, NL) & DURAARK consortium
1 / 20

2 / 26 / 13
Digital Preservation Scenarios and use cases
2 / 20

2 / 26 / 13

Jakob Beetz (Eindhoven University of Technology)
SotA: „Archival system‟ at project hand over
3 / 20

2 / 26 / 13

Jakob Beetz – Eindhoven University of Technology
Information and knowledge loss and decay
4 / 20

2 / 26 / 13

Jakob Beetz (Eindhoven University of Technology)
Building and construction
•

PROBADO [DFG 2007-2011]
•
•
•

•

Music and 3D geometry
No BIM models
OAIS compliant

FACADE [US 2006-2009]
•
•
•

Proprietary CAD models of buildings
No BIM Models
Identifies BIM as next necessary step

Other engineering domains
•

LOTAR
•
•
•
•

•

•

Remove dependence from proprietary software
formats
Aerospace and defense
STEP
OAIS

SHAMAN [EU-funded 2007-2011]
• Various engineering domains
• PLM-centric independent of format
VDA 2958
• Long-term archiving of STEP domain-based
schemas by German Association of the
Automobile Industry

Digital preservation: past efforts
5 / 20

2 / 26 / 13

Jakob Beetz – Eindhoven University of Technology
Goal


Methods and tools for sustainable long-term
preservation of building data (3D and BIM
models, metadata, related knowledge & Web
data)

Challenges


Diverse stakeholders: architects, building
operators, urban planners, archivists, …



Diversity of data - interoperability: low-level
point clouds & legacy 3D models up to enriched
Building Information Models (BIM), higher-level
semantics and Web data / knowledge



Building, model and data evolution: document
temporal evolution, documentation of „as-build‟ in
addition to „as-planned‟ to prevent information
loss and enable repair

Goals and Challenges (1/2)
6 / 20

2 / 26 / 13

Jakob Beetz (Eindhoven University of Technology)
Challenges


“Semantic” enrichment of building
knowledge: exploiting Web data and
knowledge to enrich low-level building
data.



Inconsistent vocabularies: adopting
state of the art vocabularies and
schemas towards sustainability



Enrichment of point clouds:
Compartmentalize / cluster huge data
sets (1GB upwards per partial scan) by
semantic tagging.



Long-term readability / renderability
of architectural models: addressing
digital decay (eg due to deprecated
file formats) and model evolution

Goals and Challenges (2/2)
7 / 20

2 / 26 / 13

Stefan Dietze (L3S Research Center)
Articulate BI Models

MVD for archival
purposes, similar to PDF/A

Point Clouds

DURAARK overview
8 / 20

2 / 26 / 13

Jakob Beetz (Eindhoven University of Technology)
Enriched BIM models using linked data
9 / 20

2 / 26 / 13

Jakob Beetz (Eindhoven University of Technology)
Enriched BIM models using linked data
10 / 20

2 / 26 / 13

Jakob Beetz (Eindhoven University of Technology)
External Linked Data Set

RDF
DURAARK Semantic Digital
Archive
IFC Schema as

VoID

OWL/RDFS TBox

SIP

Enriched IFC

ifcOWL | ifcRDF(S)

IFC instance as

Part 21 SPFF
(Compressed?) IFC
Instance including PC data
Point cloud data

E57

Part 21 SPFF+
(HDF5)

DURAARK Data
11 / 20

2 / 26 / 13

Jakob Beetz (Eindhoven University of Technology)

DURAARK meta data

METS | PREMIS
Open Archival Information System (OAIS) Framework
12 / 20

2 / 26 / 13

Jakob Beetz (Eindhoven University of Technology)
Articulate BI Models

MVD for archival
purposes, similar to PDF/A

Point Clouds

13 / 20

2 / 26 / 13

Jakob Beetz (Eindhoven University of Technology)
UBO: Universität Bonn
- Technical Coordinator
- WP4/WP5: change management, shape
recognition
Luleå University of Technology
- WP8 leader, dissemination/exploitation

CITA, Center for Information Technology
and Architecture Copenhagen
- WP7 leader, evaluation, test
TUE, Department of the Built Environment,
Eindhoven University of Technology
- WP3 leader, semantics & metadata
Catenda, SME
- User perspective, market requirements, evaluation
Fraunhofer Austria
- WP2 leader, system specification
& integration

Consortium
14 / 20

2 / 26 / 13

Jakob Beetz (Eindhoven University of Technology)

LUH: German National Library of
Science and Technology (TIB) &
L3S Research Center Hannover
-Coordinator
- WP3 Semantic Enrichment
- WP6 leader, long-term preservation
http://www.duraark.eu

j.beetz@tue.nl
Thank you. Questions? Suggestions?
15 / 20

2 / 26 / 13

Jakob Beetz (Eindhoven University of Technology, NL)

DURAARK presentation CIB W78 "Applications of IT in AEC" conference Beijing 2013 Jakob Beetz

  • 1.
    Towards the Long-TermPreservation of Building Information Models Jakob Beetz, Stefan Dietze, René Berndt, Martin Tamke Jakob Beetz (Eindhoven University of Technology, NL) & DURAARK consortium 1 / 20 2 / 26 / 13
  • 2.
    Digital Preservation Scenariosand use cases 2 / 20 2 / 26 / 13 Jakob Beetz (Eindhoven University of Technology)
  • 3.
    SotA: „Archival system‟at project hand over 3 / 20 2 / 26 / 13 Jakob Beetz – Eindhoven University of Technology
  • 4.
    Information and knowledgeloss and decay 4 / 20 2 / 26 / 13 Jakob Beetz (Eindhoven University of Technology)
  • 5.
    Building and construction • PROBADO[DFG 2007-2011] • • • • Music and 3D geometry No BIM models OAIS compliant FACADE [US 2006-2009] • • • Proprietary CAD models of buildings No BIM Models Identifies BIM as next necessary step Other engineering domains • LOTAR • • • • • • Remove dependence from proprietary software formats Aerospace and defense STEP OAIS SHAMAN [EU-funded 2007-2011] • Various engineering domains • PLM-centric independent of format VDA 2958 • Long-term archiving of STEP domain-based schemas by German Association of the Automobile Industry Digital preservation: past efforts 5 / 20 2 / 26 / 13 Jakob Beetz – Eindhoven University of Technology
  • 6.
    Goal  Methods and toolsfor sustainable long-term preservation of building data (3D and BIM models, metadata, related knowledge & Web data) Challenges  Diverse stakeholders: architects, building operators, urban planners, archivists, …  Diversity of data - interoperability: low-level point clouds & legacy 3D models up to enriched Building Information Models (BIM), higher-level semantics and Web data / knowledge  Building, model and data evolution: document temporal evolution, documentation of „as-build‟ in addition to „as-planned‟ to prevent information loss and enable repair Goals and Challenges (1/2) 6 / 20 2 / 26 / 13 Jakob Beetz (Eindhoven University of Technology)
  • 7.
    Challenges  “Semantic” enrichment ofbuilding knowledge: exploiting Web data and knowledge to enrich low-level building data.  Inconsistent vocabularies: adopting state of the art vocabularies and schemas towards sustainability  Enrichment of point clouds: Compartmentalize / cluster huge data sets (1GB upwards per partial scan) by semantic tagging.  Long-term readability / renderability of architectural models: addressing digital decay (eg due to deprecated file formats) and model evolution Goals and Challenges (2/2) 7 / 20 2 / 26 / 13 Stefan Dietze (L3S Research Center)
  • 8.
    Articulate BI Models MVDfor archival purposes, similar to PDF/A Point Clouds DURAARK overview 8 / 20 2 / 26 / 13 Jakob Beetz (Eindhoven University of Technology)
  • 9.
    Enriched BIM modelsusing linked data 9 / 20 2 / 26 / 13 Jakob Beetz (Eindhoven University of Technology)
  • 10.
    Enriched BIM modelsusing linked data 10 / 20 2 / 26 / 13 Jakob Beetz (Eindhoven University of Technology)
  • 11.
    External Linked DataSet RDF DURAARK Semantic Digital Archive IFC Schema as VoID OWL/RDFS TBox SIP Enriched IFC ifcOWL | ifcRDF(S) IFC instance as Part 21 SPFF (Compressed?) IFC Instance including PC data Point cloud data E57 Part 21 SPFF+ (HDF5) DURAARK Data 11 / 20 2 / 26 / 13 Jakob Beetz (Eindhoven University of Technology) DURAARK meta data METS | PREMIS
  • 12.
    Open Archival InformationSystem (OAIS) Framework 12 / 20 2 / 26 / 13 Jakob Beetz (Eindhoven University of Technology)
  • 13.
    Articulate BI Models MVDfor archival purposes, similar to PDF/A Point Clouds 13 / 20 2 / 26 / 13 Jakob Beetz (Eindhoven University of Technology)
  • 14.
    UBO: Universität Bonn -Technical Coordinator - WP4/WP5: change management, shape recognition Luleå University of Technology - WP8 leader, dissemination/exploitation CITA, Center for Information Technology and Architecture Copenhagen - WP7 leader, evaluation, test TUE, Department of the Built Environment, Eindhoven University of Technology - WP3 leader, semantics & metadata Catenda, SME - User perspective, market requirements, evaluation Fraunhofer Austria - WP2 leader, system specification & integration Consortium 14 / 20 2 / 26 / 13 Jakob Beetz (Eindhoven University of Technology) LUH: German National Library of Science and Technology (TIB) & L3S Research Center Hannover -Coordinator - WP3 Semantic Enrichment - WP6 leader, long-term preservation
  • 15.
    http://www.duraark.eu j.beetz@tue.nl Thank you. Questions?Suggestions? 15 / 20 2 / 26 / 13 Jakob Beetz (Eindhoven University of Technology, NL)