DuraArK Durable Architectural Knowledge
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1 Motivation Data on the Web Some eyecatching opener illustrating growth and or diversity of web data Durable Architectural Knowledge Stefan Dietze (Leibniz University Hanover, DE): Coordinator Reinhard Klein (Rheinische Friedrich-Wilhelm Universität, Bonn, DE): Technical Director Thomas Bähr (Leibniz University Hanover, DE): WP6 Leader Jakob Beetz (Technische Universiteit Eindhoven, NL): WP3 Leader & consortium Presentation to buildingsmart ITM Tokyo Stefan Dietze 25/05/12 1
2 Goals & challenges (1/2) LinkedUp in a nutshell Goal Development of methods and tools for sustainable long-term preservation of architectural 3D models Challenges Building evolution: documentation to prevent information loss and enable repair Long-term readability /renderability of 3D architectural models: addressing digital decay due to deprecated file formats Inconsistent naming conventions: improving architectural metadata schemes & vocabularies towards longterm sustainability
3 Goals & challenges (2/2) LinkedUp in a nutshell Challenges Interoperability and consistency: bridging between diverse formats and abstraction levels (point clouds & legacy 3D models => enriched Building Information Models, BIM) Enrichment of point clouds: using semantics to efficiently store and discover point cloud and 3D models for targeted retrieval. Diversity of stakeholders: taking into account requirements of libraries/archives, building constructors/architects, building operators, etc. on long-term archiving.
4 Tangible outcomes LinkedUp in a nutshell Tangible outcomes Workflows and tools for OAIS compliant ingest: Management, preservation and delivery of the various types of architectural data Semantic enrichment: Vocabularies for description of built structures and enrichment techniques based on a unified and sustainable naming scheme Tools for structuring of point clouds and legacy 3D data: Enable targeted retrieval by detecting high-level semantic structures in the data
5 Tangible outcomes LinkedUp in a nutshell Tangible outcomes Tools for detection of changes in the building: Avoid information loss by detecting differences in original building plans and point clouds documenting the as-is building state to enable guided repair OAIS compliant storage: Face problem of digital decay by using Industry Foundation Classes (IFC) as an open and already well-established file format suited for longterm preservation. Use point cloud compression techniques that are self-documenting and robust towards bit rot. Aligned 3D model and laser scan Tailored Workflows: Thoroughly investigate requirements of institutional stakeholders (libraries/archives) and SMEs on long-term archiving. Develop according workflows.
6 Consortium Scientific excellence in three strategic areas: Long-term preservation & archiving Architectural & 3D models Data & system integration & management Stefan Dietze 25/05/12 6
7 Consortium UBO: Universität Bonn - Technical Director - WP4/WP5: change management, shape recognition Luleå University of Technology - WP8 leader, dissemination/exploitation LUH: German National Library of Science and Technology (TIB) & L3S Research Center Hannover -Coordinator -WP6 leader, long-term preservation 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 Stefan Dietze 25/05/12 7
8 Consortium Letters of Intent / endorsements by: Royal Institute of British Architects Flemish Architecture Institute buildingsmart Nordic (thanks, Jan!) Municipality of Rotterdam 3XN (architectural company), ZEEP (architectural company) Schmidt Hammer Lassen architects (architectural company) Krydsrum Arkitekter (architectural company) Technical University of Denmark
9 Related and previous Work [VDA 2958, 2005] Long-term archiving of STEP domain-based schemas by German Association of the Automobile Industry [LOTAR 2012] Aerospace and Defense SHAMAN [Antunes et al 2012] Life-cycle model using Grid-architectures MIT FAÇADE (Future Proofing Architectural Computer Aided-Design) ( ): PIM Project Information Model (PIM): Meta-data ontology for propriatary standards (incl. Revit etc) but no IFC Probado: German DFG-funded project on archiving legacy CAD and music, no IFC MACE: Academic system for architectural data, no 3D
10 Related Technology Open Archival Information System (OAIS) standard: ISO 14721:2003 Framework for archiving HDF5: ISO Part 26- Binary representation of EXPRESS-driven data using HDF5 Linked Open Data:
11 Architecture Durable Architectural Knowledge PRODUCER PROBADO3D Generate SIP Change Documentation BIM <-> Point Cloud Semantic Enrichment and Structuring Generate IFC Semantic Digital Archive SIP Submission Information Packages Ingest OAIS compliant Digital Archiving System Preservation Planning Preservation Planning Archival Storage Access Quality Assurance Generate AIP Generate Descriptive Info Point Cloud Compression Retrieval and DIP generation Query DIP Dissemination Information Packages Query DIP Dissemination Information Packages CONSUMER PROBADO3D Further Consumers
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