Open Access
Issue
E3S Web Conf.
Volume 165, 2020
2020 2nd International Conference on Civil Architecture and Energy Science (CAES 2020)
Article Number 04007
Number of page(s) 5
Section Civil, Architectural Engineering
DOI https://doi.org/10.1051/e3sconf/202016504007
Published online 01 May 2020
  1. Murphy, M. Mcgovern, E. Pavia, S.(2015) Historic building information modelling (HBIM). Structural Survey, 27(4):311-327. [Google Scholar]
  2. Volk, R. Stengel, J. Schultmann, F.(2014) Building Information Modeling (BIM) for existing buildings—Literature review and future needs. Automation in construction, 38: 109-127. [Google Scholar]
  3. Baik, A., Alitany, A., Boehm, J., & Robson, S. (2014). Jeddah Historical Building Information Modelling" JHBIM"–Object Library. International Society for Photogrammetry and Remote Sensing (ISPRS),41-47. [Google Scholar]
  4. Simeone, D. Cursi, S. Acierno, M.(2019) BIM semantic-enrichment for built heritage representation . Automation in Construction, 97: 122-137. [Google Scholar]
  5. Studer, R., Benjamins, V.R., & Fensel, D. (1998). Knowledge engineering: principles and methods. Data & knowledge engineering, 25(1-2), 161-197. [CrossRef] [Google Scholar]
  6. Mecca, S., Masera, M., & Cirinnà, C. (2011). Knowledge Management approach for conservation of Earthen Architecture. Rock and Soil Mechanics, 32(S1):337-337 [Google Scholar]
  7. Cacciotti, R., Blaško, M.,Valach, J. (2015) A diagnostic ontological model for damages to historical constructions.Journal of Cultural Heritage, 16(1), 40-48. [Google Scholar]
  8. Acierno, M., Cursi, S., Simeone, D., & Fiorani, D. (2017). Architectural heritage knowledge modelling: An ontology-based framework for conservation process. Journal of Cultural Heritage, 24, 124-133. [Google Scholar]
  9. Sichuan Institute of building Reserch (SIBR).(1993) Technical code for maintenance and strengthening of ancient timber building. China Architecture & Building Press, Beijing. [Google Scholar]
  10. Ma, B.J.(1991) Chinese ancient architecture woodwork construction technology. Science Press, Beijing. [Google Scholar]

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