Enrichment and preservation of architectural knowledge

Conference Contribution

Beetz, J., Blümel, I., Dietze, S., Fetahui, B., Gadiraju, U., Hecher, M., Krijnen, T.F., Lindlar, M., Tamke, M., Wessel, R. & Yu, R. (2016). Enrichment and preservation of architectural knowledge. In S. Münster, M. Ioannides, P. Kuroczyński, M Pfarr-Harfst, S. Münster, M. Ioannides, P. Kuroczyński & M. Pfarr-Harfst (Eds.), 3D Research Challenges in Cultural Heritage II (pp. 1-25). (Lecture notes in computer science, No. 10025). Berlin: Springer International. In Scopus Cited 0 times.

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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‐