The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-2/W11
https://doi.org/10.5194/isprs-archives-XLII-2-W11-309-2019
https://doi.org/10.5194/isprs-archives-XLII-2-W11-309-2019
04 May 2019
 | 04 May 2019

HOLISTIC HERITAGE BUILDING INFORMATION MODELLING (HHBIM): FROM NODES TO HUB NETWORKING, VOCABULARIES AND REPOSITORIES

R. Brumana, M. Ioannides, and M. Previtali

Keywords: Holistic HBIM, Heritage Building Information Modelling, eXtended vocabularies, construction systems

Abstract. HBIM (Heritage Building Information Modelling) can be nowadays considered as part of the digitization process of Cultural Heritage, with the particular characteristics that being born to manage Models and Data within a unique environment they can be inherited to adopt a synergic approach to the cultural Heritage ‘as a whole system’. To this aim they need to overcome gaps and barriers undertaking an holistic approach in many directions. The paper intends to introduce an overview on the meaning of Holistic Heritage Information Building. The attribute holistic is here used with the meaning to empower instruments and methods capable to interconnect single HBIM nodes within networks where to find the information collected in a cross sectorial space: vocabularies, libraries of object and semantics, derived from such ‘Informative Models’ - with the support of Virtual Hub technologies - can boost nodes-networking empowering the capabilities of BIM Informative Modelling together with web accessible Geographic Informative System. Such richness once interconnected can be accessed from space-temporal queries, semantic searches, and harvested with other networks in order to enhance the cross correlation of the information and allowing the sharing of different case studies and HBIM within a space-temporal framework. This will allow the comparison of masonry texture, history of material finishing and skilled workers across space and time. HHBIM HUBS will be a gate toward the eXtended Reality potentials attracting and distributing data coming from different sources.