Enrichment and preservation of architectural knowledge

J. Beetz, I. Blümel, S. Dietze, B. Fetahui, U. Gadiraju, M. Hecher, T.F. Krijnen, M. Lindlar, M. Tamke, R. Wessel, R. Yu

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Abstract

In the context of the EU FP7 DURAARK project (2013–2016), inter-
disciplinary methods, technologies and tools have been researched and devel‐
oped, that support the Long Term Preservation of semantically enriched digital
representations of built structures. The results of the research efforts include
approaches of semi-automatically deriving building models from point cloud data
sets acquired from laser scans and the integration and overlay of such represen‐
tations with explicit Building Information Models (BIM). We introduce novel
ways for the further semantic enrichment of such hybrid building models with
contextual data and vocabularies from external resources using Linked Data (LD)
and the recognition relevant features and building components. A special focus
of the research reported here lies on strategies and policies for their long term
archival, information retrieval based on rich semantic metadata and the use of
such archival systems in research and commercial scenarios. We introduce a set
of prototypical, open-source tools implementing these features that have been
integrated into a modular preservation framework called the “DURAARK Work‐
bench”.
Original languageEnglish
Title of host publication3D Research Challenges in Cultural Heritage II
Subtitle of host publicationHow to Manage Data and Knowledge Related to Interpretative Digital 3D Reconstructions of Cultural Heritage
EditorsS. Münster, M. Pfarr-Harfst, P. Kuroczyński, M. Ioannides
Place of PublicationBerlin
PublisherSpringer
Pages1-25
ISBN (Electronic)978-3-319-47647-6
ISBN (Print)978-3-319-47646-9
DOIs
Publication statusPublished - 2 Oct 2016

Publication series

NameLecture notes in computer science
Volume10025
ISSN (Print)0302-9743

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Semantics
Metadata
Information retrieval
Lasers

Cite this

Beetz, J., Blümel, I., Dietze, S., Fetahui, B., Gadiraju, U., Hecher, M., ... Yu, R. (2016). Enrichment and preservation of architectural knowledge. In S. Münster, M. Pfarr-Harfst, P. Kuroczyński, & M. Ioannides (Eds.), 3D Research Challenges in Cultural Heritage II: How to Manage Data and Knowledge Related to Interpretative Digital 3D Reconstructions of Cultural Heritage (pp. 1-25). (Lecture notes in computer science; Vol. 10025). Berlin: Springer. https://doi.org/10.1007/978-3-319-47647-6_11
Beetz, J. ; Blümel, I. ; Dietze, S. ; Fetahui, B. ; Gadiraju, U. ; Hecher, M. ; Krijnen, T.F. ; Lindlar, M. ; Tamke, M. ; Wessel, R. ; Yu, R. / Enrichment and preservation of architectural knowledge. 3D Research Challenges in Cultural Heritage II: How to Manage Data and Knowledge Related to Interpretative Digital 3D Reconstructions of Cultural Heritage. editor / S. Münster ; M. Pfarr-Harfst ; P. Kuroczyński ; M. Ioannides. Berlin : Springer, 2016. pp. 1-25 (Lecture notes in computer science).
@inproceedings{3626e98c22514d5285b81b4af70d41ca,
title = "Enrichment and preservation of architectural knowledge",
abstract = "In the context of the EU FP7 DURAARK project (2013–2016), inter-disciplinary methods, technologies and tools have been researched and devel‐oped, that support the Long Term Preservation of semantically enriched digitalrepresentations of built structures. The results of the research efforts includeapproaches of semi-automatically deriving building models from point cloud datasets acquired from laser scans and the integration and overlay of such represen‐tations with explicit Building Information Models (BIM). We introduce novelways for the further semantic enrichment of such hybrid building models withcontextual data and vocabularies from external resources using Linked Data (LD)and the recognition relevant features and building components. A special focusof the research reported here lies on strategies and policies for their long termarchival, information retrieval based on rich semantic metadata and the use ofsuch archival systems in research and commercial scenarios. We introduce a setof prototypical, open-source tools implementing these features that have beenintegrated into a modular preservation framework called the “DURAARK Work‐bench”.",
author = "J. Beetz and I. Bl{\"u}mel and S. Dietze and B. Fetahui and U. Gadiraju and M. Hecher and T.F. Krijnen and M. Lindlar and M. Tamke and R. Wessel and R. Yu",
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Beetz, J, Blümel, I, Dietze, S, Fetahui, B, Gadiraju, U, Hecher, M, Krijnen, TF, Lindlar, M, Tamke, M, Wessel, R & Yu, R 2016, Enrichment and preservation of architectural knowledge. in S Münster, M Pfarr-Harfst, P Kuroczyński & M Ioannides (eds), 3D Research Challenges in Cultural Heritage II: How to Manage Data and Knowledge Related to Interpretative Digital 3D Reconstructions of Cultural Heritage. Lecture notes in computer science, vol. 10025, Springer, Berlin, pp. 1-25. https://doi.org/10.1007/978-3-319-47647-6_11

Enrichment and preservation of architectural knowledge. / Beetz, J.; Blümel, I.; Dietze, S.; Fetahui, B.; Gadiraju, U.; Hecher, M.; Krijnen, T.F.; Lindlar, M.; Tamke, M.; Wessel, R.; Yu, R.

3D Research Challenges in Cultural Heritage II: How to Manage Data and Knowledge Related to Interpretative Digital 3D Reconstructions of Cultural Heritage. ed. / S. Münster; M. Pfarr-Harfst; P. Kuroczyński; M. Ioannides. Berlin : Springer, 2016. p. 1-25 (Lecture notes in computer science; Vol. 10025).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

TY - GEN

T1 - Enrichment and preservation of architectural knowledge

AU - Beetz, J.

AU - Blümel, I.

AU - Dietze, S.

AU - Fetahui, B.

AU - Gadiraju, U.

AU - Hecher, M.

AU - Krijnen, T.F.

AU - Lindlar, M.

AU - Tamke, M.

AU - Wessel, R.

AU - Yu, R.

PY - 2016/10/2

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N2 - In the context of the EU FP7 DURAARK project (2013–2016), inter-disciplinary methods, technologies and tools have been researched and devel‐oped, that support the Long Term Preservation of semantically enriched digitalrepresentations of built structures. The results of the research efforts includeapproaches of semi-automatically deriving building models from point cloud datasets acquired from laser scans and the integration and overlay of such represen‐tations with explicit Building Information Models (BIM). We introduce novelways for the further semantic enrichment of such hybrid building models withcontextual data and vocabularies from external resources using Linked Data (LD)and the recognition relevant features and building components. A special focusof the research reported here lies on strategies and policies for their long termarchival, information retrieval based on rich semantic metadata and the use ofsuch archival systems in research and commercial scenarios. We introduce a setof prototypical, open-source tools implementing these features that have beenintegrated into a modular preservation framework called the “DURAARK Work‐bench”.

AB - In the context of the EU FP7 DURAARK project (2013–2016), inter-disciplinary methods, technologies and tools have been researched and devel‐oped, that support the Long Term Preservation of semantically enriched digitalrepresentations of built structures. The results of the research efforts includeapproaches of semi-automatically deriving building models from point cloud datasets acquired from laser scans and the integration and overlay of such represen‐tations with explicit Building Information Models (BIM). We introduce novelways for the further semantic enrichment of such hybrid building models withcontextual data and vocabularies from external resources using Linked Data (LD)and the recognition relevant features and building components. A special focusof the research reported here lies on strategies and policies for their long termarchival, information retrieval based on rich semantic metadata and the use ofsuch archival systems in research and commercial scenarios. We introduce a setof prototypical, open-source tools implementing these features that have beenintegrated into a modular preservation framework called the “DURAARK Work‐bench”.

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M3 - Conference contribution

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T3 - Lecture notes in computer science

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BT - 3D Research Challenges in Cultural Heritage II

A2 - Münster, S.

A2 - Pfarr-Harfst, M.

A2 - Kuroczyński, P.

A2 - Ioannides, M.

PB - Springer

CY - Berlin

ER -

Beetz J, Blümel I, Dietze S, Fetahui B, Gadiraju U, Hecher M et al. Enrichment and preservation of architectural knowledge. In Münster S, Pfarr-Harfst M, Kuroczyński P, Ioannides M, editors, 3D Research Challenges in Cultural Heritage II: How to Manage Data and Knowledge Related to Interpretative Digital 3D Reconstructions of Cultural Heritage. Berlin: Springer. 2016. p. 1-25. (Lecture notes in computer science). https://doi.org/10.1007/978-3-319-47647-6_11