Knowledge-based data enrichment for HBIM: Exploring high-quality models using the semantic-web

Quattrini, Ramona; Pierdicca, Roberto; Morbidoni, Christian

doi:10.1016/j.culher.2017.05.004

Cited by 121 publications

(79 citation statements)

References 17 publications

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“…In this research we have sought to engage with historic standards in order to develop a new methodological approach with the advantage of building on a specific technical knowledge base but that also makes use of accessible platforms for dissemination. Quattrini et al detailed a case study demonstrating how a range of data are applied semantically using a Resource Data Framework (RDF) and an Ontology Web Language (OWL) [48]. Acierno et al developed an ontological structure for conservation planning in consultation with conservation professionals, in focusing on data relating to conservation activity as opposed to facilities management or physical description alone, it is unusual.…”

Section: Methodsmentioning

confidence: 99%

“…We have determined that rather than the 660 previously claimed [48], a total of 469 library buildings were built using Carnegie funds in the UK. Of these, 424 buildings survive.…”

Section: Principal Conclusionmentioning

confidence: 99%

“…In line with their counterparts in the US, the majority of the Carnegie Libraries in Britain, built up to the start of WW1 were constructed at a time of plentiful and skilled labour using high quality materials. Although ostensibly traditional, as with many other buildings of the period, they were leanly engineered in terms of their environmental performance as emphasised in earlier work [48,59]. It is a transition which is far less apparent than the visual transformation of architectural styles over the period.…”

Section: Recognising Historic Design Prioritiesmentioning

confidence: 99%

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Networking Historic Environmental Standards to Address Modern Challenges for Sustainable Conservation in HBIM

et al. 2020

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Featured Application: For optimizing the conservation planning and considerations for efficient refurbishment of early twentieth century public Buildings in the UK.Abstract: Awareness of the logic and context of original (and subsequent) design priorities is critical to informing decisions relating to valorisation, repair, refurbishment, energy retrofit or re-use of built heritage. A key benefit of collating data through Historic Building Information Modelling (HBIM) should be to assist others facing similar challenges. Here, examples for sharing understanding of how components belong to a system are outlined in the context of a newly completed dataset of public library buildings in the UK funded by Andrew Carnegie, predominantly built between 1900 and 1914. Demands for the functionality and economy of public library buildings, coupled with the emergent standardisation of building components at the time, provide a specific condition with potential for further iteration to other buildings of the period or related typologies. The work highlights the urgency of providing cost-efficient knowledge sharing structures in an era of altered priorities with respect to energy use for modern heritage. We propose the means for mapping common features to network knowledge amongst stakeholders through relevant open source pathways. The results demonstrate that integrating geographic approaches to knowledge sharing in HBIM with environmental considerations also supports wider questions of risk management related to the stewardship of historic buildings in the context of climate change.

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Section: Methodsmentioning

confidence: 99%

“…We have determined that rather than the 660 previously claimed [48], a total of 469 library buildings were built using Carnegie funds in the UK. Of these, 424 buildings survive.…”

Section: Principal Conclusionmentioning

confidence: 99%

Section: Recognising Historic Design Prioritiesmentioning

confidence: 99%

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Networking Historic Environmental Standards to Address Modern Challenges for Sustainable Conservation in HBIM

et al. 2020

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“…This information will allow for materials and traditional constructive rules to be discovered, as well as the past transformations that could have affected the building. In particular, according to Quattrini & Baleani, 2015 [95] and Quattrini et al, 2017 [96], the use of historical data to model the components of the H-BIM library introduces the opportunity to develop details that are stored behind the surface of the parametric objects regarding their materials and construction components, their cultural and historical memories, as well as their conservation status and maintenance program. It is also possible to enter temporal parametric data to represent the events that occurred throughout the building lifecycle [78].…”

Section: Heritage Building Information Modeling (H-bim) Approachesmentioning

confidence: 99%

A Review of Heritage Building Information Modeling (H-BIM)

López

Lerones

Llamas

et al. 2018

MTI

276

154

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Many projects concerning the protection, conservation, restoration, and dissemination of cultural heritage are being carried out around the world due to its growing interest as a driving force of socio-economic development. The existence of reliable, digital three-dimensional (3D) models that allow for the planning and management of these projects in a remote and decentralized way is currently a growing necessity. There are many software tools to perform the modeling and complete three-dimensional documentation of the intervened monuments. However, the Architecture, Engineering and Construction (AEC) sector has adopted the Building Information Modeling (BIM) standard over the last few decades due to the progress that has been made in its qualities and capabilities. The complex modeling of cultural heritage through commercial BIM software leads to the consideration of the concept of Heritage BIM (H-BIM), which pursues the modeling of architectural elements, according to artistic, historical, and constructive typologies. In addition, H-BIM is considered to be an emerging technology that enables us to understand, document, advertize, and virtually reconstruct the built heritage. This article is a review of the existing literature on H-BIM and its effective implementation in the cultural heritage sector, exploring the effectiveness and the usefulness of the different methodologies that were developed to model families of elements of interest.

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“…Terrestrial Laser Scanning (TLS), digital photogrammetry etc. ), aimed at the creation of a library of parametrical objects, combined with the informative data in order to enrich the object besides the modelling phase (Quattrini et al, 2017). Moreover, highlighting the difference between modelling environment and real informed approach, a major challenge nowadays is to obtain a rich model usable in specific context.…”

Section: State Of Artmentioning

confidence: 99%

Hbim Methodology as a Bridge Between Italy and Argentina

Moreira

Quattrini

Maggiolo

et al. 2018

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:The availability of efficient HBIM workflows could represent a very important change towards a more efficient management of the historical real estate. The present work shows how to obtain accurate and reliable information of heritage buildings through reality capture and 3D modelling to support restoration purposes or knowledge-based applications. Two cases studies metaphorically joint Italy with Argentina.

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Knowledge-based data enrichment for HBIM: Exploring high-quality models using the semantic-web

Cited by 121 publications

References 17 publications

Networking Historic Environmental Standards to Address Modern Challenges for Sustainable Conservation in HBIM

Networking Historic Environmental Standards to Address Modern Challenges for Sustainable Conservation in HBIM

A Review of Heritage Building Information Modeling (H-BIM)

Hbim Methodology as a Bridge Between Italy and Argentina

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