Enrichment and preservation of architectural knowledge

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Abstract

In the context of the EU FP7 DURAARK project (2013–2016), interdisciplinary methods, technologies and tools have been researched and developed, 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 representations 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 Workbench”.

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APA

Beetz, J., Blümel, I., Dietze, S., Fetahui, B., Gadiraju, U., Hecher, M., … Yu, R. (2016). Enrichment and preservation of architectural knowledge. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10025 LNCS, pp. 231–255). Springer Verlag. https://doi.org/10.1007/978-3-319-47647-6_11

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