Utilization of semantic web technologies to improve BIM-LCA applications

Sobhkhiz, Soroush; Taghaddos, Hossein; Rezvani, Mojtaba; Ramezanianpour, Amir Mohammad

doi:10.1016/j.autcon.2021.103842

Cited by 35 publications

(17 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The proposed framework can also greatly facilitate the process of expressing and querying for semantic descriptions of BIM components, which is largely used in the domains of BIM information storage, 38 BIM semantic knowledge management, 39 and BIM data processing. 40,41 The light weighted and efficient architecture can reduce the processing time of the model and further increase the transparency of the BIM applications, which are essential aspects when performing semantic induction since the delay of immediate model presentation can cause potential risk and result in outdated knowledge management. Another potential application of the suggested framework is the combination of the cloud-based lightweight processing mechanism with semantic web technology 42,43 and X3D semantic web 44,45 to better visualize large 3D models.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

CEBOW: A Cloud‐Edge‐Browser Online Web3D approach for visualizing large BIM scenes

Zhao

Zhang

et al. 2022

Computer Animation & Virtual

View full text Add to dashboard Cite

With the mobile technology continues to grow and evolve, the technology of presenting building information modeling (BIM) with an online platform has become an important application in the fields of civil engineering, architecture, and computer visualization. However, due to network bandwidth and browser performance limitations, it was difficult to display large‐scale BIM scenes in a flawless manner on mobile browsers. CEBOW, a Cloud‐Edge‐Browser Online architecture for visualizing BIM components with online solutions, is proposed in this article. The method combines transmission scheduling, cache management, and optimal initial loading into a single system architecture. For network transmission testing, BIM scenes are used, and the results show that our method effectively reduces scene loading time and networking delay while improving the visualization effect of large‐scale scenes.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

CEBOW: A Cloud‐Edge‐Browser Online Web3D approach for visualizing large BIM scenes

Zhao

Zhang

et al. 2022

Computer Animation & Virtual

View full text Add to dashboard Cite

show abstract

“…In contrast, tools such as Dynamo and Grasshopper can embed checking processes into a designer's work environment, thus allowing them to conduct implicit checks; nevertheless, IFC remains the only software-independent solution. Perhaps, efforts in the development of ifcOWL or semantic-based solutions in general can address this problem, although this is yet to be investigated [52].…”

Section: Limitationsmentioning

confidence: 99%

Framing and Evaluating the Best Practices of IFC-Based Automated Rule Checking: A Case Study

et al. 2021

Self Cite

View full text Add to dashboard Cite

This research reviews recent advances in the domain of Automated Rule Checking (ARC) and argues that current systems are predominantly designed to validate models in post-design stages, useful for applications such as e-permitting. However, such a design-check-separated paradigm imposes a burden on designers as they need to iteratively fix the fail-to-pass issues. Accordingly, the study reviews the best-practices of IFC-based ARC systems and proposes a framework for ARC system development, aiming to achieve proactive bottom-up solutions building upon the requirements and resources of end-users. To present and evaluate its capabilities, the framework is implemented in a real-life case study. The case study presents all the necessary steps that should be taken for the development of an ARC solution from rule selection and analysis, to implementation and feedback. It is explained how a rule checking problem can be broken down into separate modules implemented in an iterative approach. Results show that the proposed framework is feasible for successful implementation of ARC systems and highlight that a stable data standard and modeling guideline is needed to achieve proactive ARC solutions. The study also discusses that there are some critical limitations in using IFC which need to be addressed in future studies.

show abstract

“…Sobhkhiz et al. (2021) analyzed the challenges of managing data to perform LCA in the construction industry and highlighted how the Semantic Web is the only technology designed for dynamic data modeling. Ingwersen (2015) and Mittal et al.…”

Section: Introductionmentioning

confidence: 99%

“…Takhom (2013) and Kuczenski et al (2016) demonstrated that structuring LCA databases using an ontology linked to the Semantic Web supports data interpretation, thus giving additional information and control to database users. Sobhkhiz et al (2021) analyzed the challenges of managing data to perform LCA in the construction industry and highlighted how the Semantic Web is the only technology designed for dynamic data modeling. Ingwersen (2015) and Mittal et al (2018) studied ontology development for sustainability assessment and recommended improving the linking of the semantic databases and existing ontologies to benefit from access to up-to-date information in these repositories.…”

mentioning

confidence: 99%

A core ontology for modeling life cycle sustainability assessment on the Semantic Web

Ghose

Lissandrini

Hansen

et al. 2021

J of Industrial Ecology

View full text Add to dashboard Cite

The use of Semantic Web and linked data increases the possibility of data accessibility, interpretability, and interoperability. It supports cross‐domain data and knowledge sharing and avoids the creation of research data silos. Widely adopted in several research domains, the use of the Semantic Web has been relatively limited with respect to sustainability assessments. A primary barrier is that the framework of the principles and technologies required to link and query data from the Semantic Web is often beyond the scope of industrial ecologists. Linking of a dataset to Semantic Web requires the development of a semantically linked core ontology in addition to the use of existing ontologies. Ontologies provide logical meaning to the data and the possibility to develop machine‐readable data format. To enable and support the uptake of semantic ontologies, we present a core ontology developed specifically to capture the data relevant for life cycle sustainability assessment. We further demonstrate the utility of the ontology by using it to integrate data relevant to sustainability assessments, such as EXIOBASE and the Yale Stocks and Flow Database to the Semantic Web. These datasets can be accessed by the machine‐readable endpoint using SPARQL, a semantic query language. The present work provides the foundation necessary to enhance the use of Semantic Web with respect to sustainability assessments. Finally, we provide our perspective on the challenges toward the adoption of Semantic Web technologies and technical solutions that can address these challenges.

show abstract

Utilization of semantic web technologies to improve BIM-LCA applications

Cited by 35 publications

References 29 publications

CEBOW: A Cloud‐Edge‐Browser Online Web3D approach for visualizing large BIM scenes

CEBOW: A Cloud‐Edge‐Browser Online Web3D approach for visualizing large BIM scenes

Framing and Evaluating the Best Practices of IFC-Based Automated Rule Checking: A Case Study

A core ontology for modeling life cycle sustainability assessment on the Semantic Web

Contact Info

Product

Resources

About