Domain Analysis to Assess the Sustainability of Constructive Projects Using Semantic Technologies
DOI:
https://doi.org/10.36311/1981-1640.2022.v16.e02144Keywords:
Semantic technologies, Ontology, Sustainable constructive projects, LEEDAbstract
Evaluating construction projects aims to measure how sustainable the built environments are and this is important to save the environment from increasing deterioration. However, most assessment tasks are carried out in different tools, at all stages of construction and even manually, consuming time and increasing the errors possibility. The research problem is to verify how the semantic technologies use would represent an advantageous alternative, in relation to the state of the art, to analyze, systematize and organize information from the domain of construction projects, accelerating the evaluation process. The concepts behind an experiment that employs semantic technologies and a domain ontology to integrate data from BIM (Building Information Modeling) projects and other tabular data external to the project to automate the LEED (Leadership in Energy and Environmental Design) certification tasks are presented. To produce the prototype of this experiment, data from a BIM project and open tabulated data from the Belo Horizonte’s city are semantically annotated and a knowledge graph is generated in RDF format. Once integrated into the graph, the data is used to assess the certification criteria through consultations. The results suggest that the domain analysis associated with semantic technologies promotes the conceptual extensibility of the constructive elements, enabling their integration with external knowledge bases. It also conceptually organizes data aiming to improve relevant information retrieval tasks.
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References
Azhar, Salman, et al. “Automation in Construction Building information modeling for sustainable design LEED ® rating analysis”. Automation in Construction, vol. 20, no. 2, 2011, pp. 217–24.
Bassiliades, Nick. “SWRL2SPIN: converting SWRL to SPIN”. CEUR Workshop Proceedings, vol. 2204, 2018.
Bax, Marcello Peixoto. “Design science: filosofia da pesquisa em ciência da informação e tecnologia Design science: philosophy of research in information science and technology”. Ci. Inf., vol. 42, no. 2, 2013, pp. 298–312.
Bonduel, Mathias, et al. “The IFC to linked building data converter - Current status”. CEUR Workshop Proceedings, vol. 2159, 2018, pp. 34–43.
Borrmann, André, et al. “Building information modeling: Technology Foundations and Industry Practice”. Building Information Modeling: Technology Foundations and Industry Practice, Springer, 2018.
Coppens, Sam, et al. “Reasoning over SPARQL”. CEUR Workshop Proceedings, vol. 996, 2013.
Creswell, Jhon W. “Research Design: Qualitative, Quantitative, and Mixed Methods Approaches”. SAGE, 2014.
Curry, Edward, et al. “Linking building data in the cloud: Integrating cross-domain building data using linked data”. Advanced Engineering Informatics, vol. 27, no. 2, Elsevier Ltd, 2013, pp. 206–19.
Ding, Li, et al. “TWC LOGD: A portal for linked open government data ecosystems”. Journal of Web Semantics, vol. 9, no. 3, 2011, pp. 325–33,
Falbo, Ricardo de Almeida. “SABiO: Systematic approach for building ontologies”. CEUR Workshop Proceedings, vol. 1301, 2014.
Farias, Tarcisio Mendes de, et al. “IfcWoD, Semantically Adapting IFC Model Relations into OWL Properties”. Proc. of the 32° CIB W78 Conference, 2015, pp. 1–86.
Geyer, Philipp. “Advanced Engineering Informatics Systems modelling for sustainable building design”. Advanced Engineering Informatics, vol. 26, no. 4, 2012, pp. 656–68.
Hjørland, Birger. “Domain Analysis: A Socio-Cognitive Orientation for Information Science Research”. Bulletin of the American Society for Information Science and Technology, vol. 30, no. 3, 2004, pp. 17–21.
Hjørland, Birger. “Domain analysis in information science: Eleven approaches - Traditional as well as innovative”. Journal of Documentation, vol. 58, no. 4, 2002, pp. 422–62.
Hjørland, Birger. “Reviews of concepts in knowledge organization”. Knowledge Organization, vol. 44, no. 5, 2017, pp. 349–79.
Hjørland, Birger. “What is Knowledge Organization (KO)?” Knowledge Organization, vol. 35, no. 2/3, 2008, pp. 86–101.
Hjørland, Birger, and Albrechtsen, Hanne. “Toward a new horizon in information science: Domain‐analysis”. Journal of the American Society for Information Science, vol. 46, no. 6, 1995, pp. 400–25.
Hong, Sim-Hee, et al. “Automated management of green building material information using web crawling and ontology”. Automation in Construction, vol. 102, 2019, pp. 230–44.
Isotani, Seiji, and Bittencourt, Ig Ibert. “Dados Abertos Conectados”. NÚCLEO DE INFORMAÇÃO E COORDENAÇÃO DO PONTO Br – NIC.br Centro de Estudos sobre Tecnologia Web – CeWeb.br, 2015.
Jeremy Tandy, et al. “Generating RDF from Tabular Data on the Web”. W3C Recommendation, 2015, pp. 1–29.
Jiang, Shaohua, et al. “Combining BIM and Ontology to Facilitate Intelligent Green Building Evaluation”. Journal of Computing in Civil Engineering, vol. 32, no. 5, 2018, pp. 1–15.
Krijnen, Thomas, and Beetz, Jakob. “A SPARQL query engine for binary-formatted IFC building models”. Automation in Construction, vol. 95, 2018, pp. 46–63.
Niknam, Mehrdad, and Karshenas, Saeed. “A shared ontology approach to semantic representation of BIM data”. Automation in Construction, vol. 80, 2017, pp. 22–36.
Noy, Natalya F. and Deborah L. McGuinness. “Ontology Development 101: A Guide to Creating Your First Ontology”. Stanford Knowledge Systems Laboratory Technical Report KSL-01-05 and Stanford Medical Informatics Technical Report SMI-2001-0880, 2001.
Ofori‐Boadu, A. et al. "Exploration of management practices for LEED projects: Lessons from successful green building contractors". Structural Survey, vol. 30, no. 2, 2012, pp.145-162.
Pauwels, Pieter and Roxin, Ana. “SimpleBIM: From full ifcOWL graphs to simplified building graphs”. European Conference on Product & Process Modelling, 2016.
Pauwels, Pieter and Terkaj, Walter. “EXPRESS to OWL for construction industry: Towards a recommendable and usable ifcOWL ontology”. Automation in Construction, vol. 63, 2016, pp. 100–33.
Pauwels, P., de Farias, T. M., Zhang, C., Roxin, A., Beetz, J., De Roo, J., & Nicolle, C. A performance benchmark over semantic rule checking approaches in construction industry. Advanced Engineering Informatics, vol. 33, 2017, pp. 68–88.
Perry, Matthew, and Herring, John. “GeoSPARQL - A geographic query language for RDF data”. Open Geospatial Consortium, 2011.
Rashid, Sabbir M., et al. “The Semantic Data Dictionary – An Approach for Describing and Annotating Data”. Data Intelligence, 2020, pp. 443–86.
Rasmussen, Mads Holten, et al. “Demo: Integrating building information modeling and sensor observations using semantic web”. CEUR Workshop Proceedings, vol. 2213, 2018, pp. 48–55.
Rasmussen, Mads Holten, et al. “Web-based topology queries on a BIM model”. 5th LDAC workshop, 2017.
Sacks, Rafael, et al. BIM Handbook: A Guide to Building Information Modeling for Owners, Managers, Designers, Engineers, and Contractors. John Wiley & Sons, Inc., 2018.
Smiraglia, Richard P. “Domain Analysis for Knowledge Organization: Tools for Ontology Extraction”. Domain Analysis for Knowledge Organization, Chandos Pu, 2015.
Terkaj, Walter, and Sojic, Aleksandra. “Ontology-based representation of IFC EXPRESS rules: An enhancement of the ifcOWL ontology”. Automation in Construction, vol. 57, 2015, pp. 188–201.
USGBC. “LEED V4.1: Building Design and Construction”. US Green Building Council, 2020, pp. 259.
W3C OWL Working Group. “OWL 2 Web Ontology Language Document Overview”. W3C Recommendation, 2012, pp. 1–7.
Wieringa, Roel. “Design science as nested problem solving”. Proceedings of the 4th International Conference on Design Science Research in Information Systems and Technology, DESRIST ’09, 2009.
Wong, Johnny Kwok Wai, and Zhou, Jason. “Enhancing environmental sustainability over building life cycles through green BIM: A review”. Automation in Construction, vol. 57, 2015, pp. 156–65.
Xu, Zhao, et al. “Study on the Evaluation Method of Green Construction Based on Ontology and BIM”. Hindawi, 2019, pp. 1–22.
Zhang, Chi, et al. “BimSPARQL: Domain-specific functional SPARQL extensions for querying RDF building data”. Semantic Web, vol. 9, no. 6, 2018, pp. 829–55.
Zhang, Daxin, et al. “A semantic and social approach for real-time green building rating in BIM-based design”. Sustainability (Switzerland), vol. 11, no. 14, 2019, pp. 1–16.
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