Int. J. Metrol. Qual. Eng.
Volume 12, 2021
Topical Issue - Advances in Metrology and Quality Engineering
Article Number 19
Number of page(s) 14
Published online 28 July 2021
  1. X. Shi et al., Magnitude, causes, and solutions of the performance gap of buildings: a review, Sustainability 11, 1–21 (2019) [CrossRef] [Google Scholar]
  2. C.J. Roberts, D.J. Edwards, M.R. Hosseini, M. Mateo-Garcia, D.G. Owusu-Manu, Post-occupancy evaluation: a review of literature, Eng. Constr. Archit. Manag. 26, 2084–2106 (2019) [CrossRef] [Google Scholar]
  3. L.C. Guyot, Combining Post Occupancy Evaluation with the United States Green Building Council's Ledership in Energy and Environmental Design Rating System (2009) [Google Scholar]
  4. J. Palmer, N. Terry, P. Armitage, Building Performance Evaluation Programme: findings from non-domestic projects Getting the best from buildings (2016) [Google Scholar]
  5. A. Ratcliffe, A. Bateson, J. Hepburn, M. Savage, J. Warne, H. Lea, Soft Landings Framework-Xis Phases for Better Buildings BG 54/2018 (2018) [Google Scholar]
  6. N. Khair, H.M. Ali, I. Sipan, N.H. Juhari, S.Z. Daud, Post occupancy evaluation of physical environment in public low-cost housing, J. Teknol. 75, 155–162 (2015) [Google Scholar]
  7. N. Alborz, U. Berardi, A post occupancy evaluation framework for LEED certified U.S. higher education residence halls, Proc. Eng. 118, 19–27 (2015) [CrossRef] [Google Scholar]
  8. MOHURD, Technical manual of Post −occupancy Evaluation for Green Building (Edition for office and Store Buildings). China (2017), pp. 1–89 [Google Scholar]
  9. W.F.E. Preiser, U. Schramm, Intelligent office building performance evaluation, Facilities 20, 279–287 (2002) [CrossRef] [Google Scholar]
  10. F. Fantozzi, M. Rocca, An extensive collection of evaluation indicators to assess occupants' health and comfort in indoor environment, Atmosphere (Basel). 11 (2020) [Google Scholar]
  11. W.F.E. Preiser, Continuous quality improvement through post-occupancy evaluation feedback, J. Corp. Real Estate 5, 42–56 (2002) [CrossRef] [Google Scholar]
  12. BSI, BS 8536-1:2015 Briefing for design and construction − Part 1: Code of practice for facilities management (Buildings infrastructure), BSI Standards Publication (BSI Standards Limited, 2015), pp. 1–96 [Google Scholar]
  13. A. Blyth, A. Gilby, M. Barlex, Guide to Post Occupancy Evaluation, High. Educ. Funding Counc. Engl. (2006) p. 62 [Google Scholar]
  14. M.L. Pannier, C. Lemoine, M. Amiel, H. Boileau, C. Buhé, R. Raymond, Multidisciplinary post-occupancy evaluation of a multifamily house: an example linking sociological, energy and LCA studies, J. Build. Eng. 37 (2021) [Google Scholar]
  15. S.K. Sansaniwal, J. Mathur, S. Mathur, Review of practices for human thermal comfort in buildings: present and future perspectives, Int. J. Ambient Energy 0, 1–27 (2020) [CrossRef] [Google Scholar]
  16. M.V. Bavaresco, S. D'Oca, E. Ghisi, R. Lamberts, Methods used in social sciences that suit energy research: a literature review on qualitative methods to assess the human dimension of energy use in buildings, Energy Build. 209, 109702 (2020) [CrossRef] [Google Scholar]
  17. T. Berners-Lee, J. Hendler, O. Lassila, The semantic web: a brain for humankind, Sci. Am. 284, 34–43 (2001) [CrossRef] [PubMed] [Google Scholar]
  18. T.R. Gruber, A translation approach to portable ontology specifications, Knowl. Acquis. 5, 199–220 (1993) [CrossRef] [Google Scholar]
  19. M. Uschold, M. Gruninger, Ontologies: principles, methods and applications, Knowl. Eng. Rev. 11, 93–136 (1996) [CrossRef] [Google Scholar]
  20. N.F. Noy, D.L. McGuinness, Ontology Development 101: A Guide to Creating Your First Ontology (2001) [Google Scholar]
  21. A. Abadi, H. Ben-Azza, S. Sekkat, Improving integrated product design using SWRL rules expression and ontology-based reasoning, Proc. Comput. Sci. 127, 416–425 (2018) [CrossRef] [Google Scholar]
  22. C. Lork et al., An ontology-based framework for building energy management with IoT, Electronics 8, 485 (2019) [CrossRef] [Google Scholar]
  23. M. Bansal, J. Arora, A review on ontology based information retrieval system, Int. J. Eng. Dev. Res. 4, 2321–9939 (2016) [Google Scholar]
  24. I. Automation, C. Technology, M. Bul, Ontology based data and information integration in biomedical, Mach. Technol. Mater. 3, 23–26 (2015) [Google Scholar]
  25. Z. Zhou, Y.M. Goh, L. Shen, Overview and analysis of ontology studies supporting development of the construction industry, J. Comput. Civ. Eng. 30, 1–14 (2016) [Google Scholar]
  26. M.J. Darlington, S.J. Culley, Investigating ontology development for engineering design support, Adv. Eng. Inf. 22, 112–134 (2008) [CrossRef] [Google Scholar]
  27. F.H. Abanda, J.H.M. Tah, Towards developing a sustainable building technology ontology, in Procs 24th Annual ARCOM Conference, edited by A. Dainty (2008) pp. 1–3 [Google Scholar]
  28. M. Kadolsky, K. Baumgärtel, R.J. Scherer, An ontology framework for rule-based inspection of eeBIM-systems, in Creative Construction Conference 2014 An (2014), vol. 85, pp. 293– 301 [Google Scholar]
  29. C. Boje, Knowledge representation, storage and retrieval for BIM supported building evacuation design, Cardiff University (2018) [Google Scholar]
  30. D. Zhang, J. Zhang, J. Guo, H. Xiong, A semantic and social approach for real-time green building rating in BIM-based design, Sustainable 11, 1–16 (2019) [Google Scholar]
  31. L.Y. Ding, B.T. Zhong, S. Wu, H.B. Luo, Construction risk knowledge management in BIM using ontology and semantic web technology, Saf. Sci. 87, 202–213 (2016) [CrossRef] [Google Scholar]
  32. Y. Lu, Q. Li, Z. Zhou, Y. Deng, Ontology-based knowledge modeling for automated construction safety checking, Saf. Sci. 79, 11–18 (2015) [CrossRef] [Google Scholar]
  33. J. Xiao, X. Li, Z. Zhang, J. Zhang, Ontology-based knowledge model to support construction noise control in China, J. Constr. Eng. Manag. 144, 1–17 (2018) [CrossRef] [Google Scholar]
  34. C. Reinisch, M.J. Kofler, F. Iglesias, W. Kastner, Thinkhome energy efficiency in future smart homes, Eurasip J. Embed. Syst. 2011 (2011) [Google Scholar]
  35. Y. Zhao, Q. Yang, A. Fox, T. Zhang, Ontology-based knowledge modeling of post-occupancy evaluation for green building, in IOP Conference Series: Earth and Environmental Science (2020), vol. 495 [Google Scholar]
  36. D. Bonino, F. Corno, Ontology modeling for intelligent domotic environments, in 7th International Semantic Web Conference, ISWC2008 (2008) vol. 5318, pp. 790–803 [Google Scholar]
  37. W. Yan, C. Zanni-Merk, F. Rousselot, D. Cavallucci, P. Collet, Ontology-based knowledge modeling for using physical effects, Proc. Eng. 131, 601–615 (2015) [CrossRef] [Google Scholar]
  38. M. O'Connor et al., Using semantic Web technologies for knowledge-driven querying of biomedical data, Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics), vol. 4594 LNAI (2007), pp. 267–276 [Google Scholar]
  39. M.J. O'Connor, A. Das, The SWRLTab: an extensible environment for working with SWRL Rules in Protege-OWL (2005). Available: [Google Scholar]
  40. A. Leaman, BUS occupant survey method: Details for licensees (2011) [Google Scholar]
  41. J. Woo, A post-occupancy evaluation of a modular multi-residential development in Melbourne, Australia, in International High-Performance Built Environment Conference − a Sustainable Built Environment Conference 2016 Series (2017) vol. 180, pp. 365–372 [Google Scholar]
  42. M. O'Connor, A. Das, SQWRL: a query language for OWL, in CEUR Workshop Proceedings (2009), vol. 529, pp. 3– 10 [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.