Enrichment and Preservation of Architectural Knowledge

Sander Münster, Mieke Pfarr-Harfst, Piotr Kuroczynski und Marinos Ioannides (Editoren)
Jakob Beetz, Ina Blümel, Stefan Dietze, Besnik Fetahui, Ujwal Gadiraju, Martin Hecher, Thomas Krijnen, Michelle Lindlar, Martin Tamke, Raoul Wessel und Ran Yu
chapter 3, Springer International Publishing, LNCS - 3D Research Challenges in Culutral Heritage II, Okt. 2016
 

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 beenintegrated into a modular preservation framework called the “DURAARK Workbench”

The paper is available here.

Bilder

Bibtex

@INBOOK{beetz-2016-Enrichment,
     author = {Beetz, Jakob and Bl{\"u}mel, Ina and Dietze, Stefan and Fetahui, Besnik and Gadiraju, Ujwal and Hecher,
               Martin and Krijnen, Thomas and Lindlar, Michelle and Tamke, Martin and Wessel, Raoul and Yu, Ran},
     editor = {M{\"u}nster, Sander and Pfarr-Harfst, Mieke and Kuroczynski, Piotr and Ioannides, Marinos},
      title = {Enrichment and Preservation of Architectural Knowledge},
  booktitle = {3D Research Challenges in Cultural Heritage II: How to Manage Data and Knowledge Related to
               Interpretative Digital 3D Reconstructions of Cultural Heritage},
     series = {LNCS - 3D Research Challenges in Culutral Heritage II},
    chapter = {3},
       year = {2016},
      month = oct,
  publisher = {Springer International Publishing},
   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 beenintegrated into a modular preservation framework called the “DURAARK
               Workbench”},
        url = {http://dx.doi.org/10.1007/978-3-319-47647-6_11}
}