Construction risk knowledge management in BIM using ontology and semantic web technology

Ding, Lieyun; Zhong, Botao; Wu, Song; Luo, Hanbin

doi:10.1016/j.ssci.2016.04.008

Cited by 174 publications

(107 citation statements)

References 20 publications

Supporting

Mentioning

106

Contrasting

Unclassified

Order By: Relevance

“…Existing studies have yet to intensively explore knowledge retrieval under the BIM environment. Park et al [28] and Ding et al [29] applied ontology-based knowledge representation to aid knowledge retrieval under the BIM environment. To implicitly or imprecisely retrieve knowledge, Gómez-Romero et al [30] combined fuzzy description logics with ontology in the BIM-based system to improve the knowledge retrieval results, in which the retrieval mechanism is not either "true or false" but relatively holds the truth.…”

Section: Bim-based Kmmentioning

confidence: 99%

Involving knowledge of construction and facilities management in design through the BIM approach

Wang¹,

Meng²,

McGetrick³

2018

Creative Construction Conference 2018 - Proceedings

View full text Add to dashboard Cite

The construction industry has increasingly realised the importance of knowledge. Accordingly, various strategies and tools have been applied over the years to support knowledge management (KM). In particular, building information modelling (BIM) is a technology that has recently emerged in the construction industry. BIM is an object-oriented and parametric-based tool with the features of digital visualisation, life cycle simulation, coordination and collaborative environment. Consequently, many studies have been conducted to explore these four aspects. However, existing studies on BIM-based management mainly focus on the information level. By contrast, only a few studies have explored KM under the BIM environment. Therefore, this study explores the potential and expectations of BIM-based KM for the early application of knowledge of construction and facilities management (FM) into the design stage. A total of 30 semi-structured interviews are conducted to collect qualitative information from the AEC industry. The existing KM practice is explored based on the analysis of the collected qualitative information. Thereafter, a discussion is presented on how the BIM-based KM can be used to mitigate the current KM challenges. Lastly, this study presents the expectations on BIMbased KM for involving the knowledge of construction and FM into the design phase. Overall, this study provides new insights into the transformation of research focus from BIM-based information management to BIM-based KM.

show abstract

Section: Bim-based Kmmentioning

confidence: 99%

Involving knowledge of construction and facilities management in design through the BIM approach

Wang¹,

Meng²,

McGetrick³

2018

Creative Construction Conference 2018 - Proceedings

View full text Add to dashboard Cite

show abstract

“…For example, Park et al (2013b) and Ding et al (2016) applied ontologies to help represent knowledge, by which the knowledge is easily retrieved under the BIM environment. To facilitate the knowledge that can be retrieved by people who are not familiar with a specific knowledge domain, Gómez-Romero et al (2015) combined fuzzy description logics with ontology in the BIM-based system to improve the knowledge retrieval results, in which the retrieval mechanism is not either 'true or false' but relatively holds the truth.…”

Section: Bim-based Kmmentioning

confidence: 99%

Early Contractor and Facility Management Team Involvement in the BIM Environment

Wang

Meng

McGetrick

2018

Period. Polytech. Arch.

View full text Add to dashboard Cite

Knowledge is the resource that contributes the most to an organisation's competitiveness. Construction projects usually introduce project teams from different disciplines. Hence, knowledge in projects is complex and difficult to manage. To efficiently manage knowledge in projects, various strategies and tools have been applied over the years to support knowledge management (KM).Building information modelling (BIM) is a technology that has recently gained a lot of attention in the construction industry. The main feature of BIM is object-oriented and parametric modelling with the functions of dynamic visualisation, life cycle simulation, early analysis, coordination and collaborative working. Many studies have explored the functions of BIM mainly at the information level. However, only a few studies have considered the management of knowledge in a BIM environment. To fill this knowledge gap, this study explored the potential and expectation of a BIM-based system for early collaboration among contractor, facility management (FM) and design teams in the design stage. This study chose semi-structured interview as the main method to collect qualitative information. A total of 30 experts working in the construction industry were interviewed. On the basis of the analysis results of the collected information, a discussion was presented on how BIM can facilitate KM activities and relieve KM challenges. Therefore, the discussion focused on the requirements and expectations of the integrated KM system in a BIM environment that can facilitate the early involvement of construction contractors and the FM team into the design stage. This study also provides a new research direction for the transformation of research focus from BIM to building knowledge modelling. This paper is the revised version of the paper that has

show abstract

“…The API apart from extracting the ontological information is also capable of inferring new knowledge with the help of the axioms and rules in the ontology. In the existing framework, the ontology is used only for retrieving domain knowledge [21], therefore only the class and sub-class features of the ontology have been used, whereas in our proposed framework, we use class, sub-class, relationship, object property, data property and instances features of the ontology have been used to represent the functional and non-functional aspect of our framework. To perform automatic verification and validation of the changes before its implementation at the service level, the semantic framework uses the PDA graph and the parsers to obtain the necessary information.…”

Section: The Difference Between the Proposed Framework And Existing Fmentioning

confidence: 99%

Incremental stages of a semantic framework for automating the changes on long term composed services

Thirumaran

Brendha

2016

Hum. Cent. Comput. Inf. Sci.

View full text Add to dashboard Cite

Background ProblemService oriented computing helps in outsourcing the business functionalities from web service providers, so that these functionalities can be composed by service composition to create solutions for problems occurring over the web. A composed Web service is therefore an on-demand and dynamic collaboration between autonomous Web services that collectively provide a value added service [1]. The composed services are of two types: Short term and Long term composed services (LCS) [2]. The collaboration among the LCS will be for a longer duration, on the other hand the collaboration among the services in short term composed services are dissolved when the requirements are met [3]. Changes in web services usually occur due to various factors like rapid technological development, new requirements from the end-users [4], complaints, to improve the enterprise business standards so that it compete with other business enterprises etc. AbstractEnterprises enhance their business on the web with the help of web services. This enhancement is achieved by composing the pre-existing services, so that they will be able to provide solutions for the problems on the web. Due to rapid development in technology, the need for making changes in the composed services by the respective analysts becomes an essential task. Thus, the change management process becomes a challenging area in web service. Although, the existing solutions use ontology for change management, they have been designed majorly for IT developers rather than analyst. Therefore, we concentrate on providing a change management framework that will make use of an enriched ontology set and semantic reasoner for implementing the changes by the analyst itself. The semantic reasoner component parses the change request from the analysts and determines the possibility for making the change. The framework represents the implemented changes in the form of a S-BPEL notation (Semantic BPEL) which is then converted to their corresponding BPEL notations by a BPEL constructor so that they can be deployed in the run time environment for composing the services.

show abstract

Construction risk knowledge management in BIM using ontology and semantic web technology

Cited by 174 publications

References 20 publications

Involving knowledge of construction and facilities management in design through the BIM approach

Involving knowledge of construction and facilities management in design through the BIM approach

Early Contractor and Facility Management Team Involvement in the BIM Environment

Incremental stages of a semantic framework for automating the changes on long term composed services

Contact Info

Product

Resources

About