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Aligning BIM and ontology for information retrieve and reasoning in value for money assessment
Automation in Construction ( IF 9.6 ) Pub Date : 2021-02-01 , DOI: 10.1016/j.autcon.2021.103565
Guoqian Ren , Haijiang Li , Song Liu , Jaliya Goonetillake , Ali Khudhair , Steven Arthur

Value for money (VfM) assessments often lack effective automatic processes and reasoning support in public-private partnership (PPP) projects. To automate these assessments, this paper proposes a comprehensive approach that aligns with the goals of building information modeling (BIM) as the necessary information support and ontology for the knowledge process. The main contribution of this work is the retrieval of information from the BIM environment with the ontological knowledge base to enable more efficient and persuasive methods for project and finance management that facilitate decision-making rather than an experience-based approach. The constructed ontology can also be reused and further expanded to include project needs from end-user perspectives. This work is expected to further the research on expanding semantic BIM-based decision making in different infrastructure procurement projects.



中文翻译:

使BIM与本体保持一致以进行信息检索并进行物有所值评估

物有所值(VfM)评估通常在公私合营(PPP)项目中缺乏有效的自动流程和推理支持。为了使这些评估自动化,本文提出了一种综合的方法,该方法与建筑信息模型(BIM)的目标相一致,作为信息过程的必要信息支持和本体。这项工作的主要贡献是利用本体论知识库从BIM环境中检索信息,以便为项目和财务管理提供更有效,更有说服力的方法,从而有助于决策,而不是基于经验的方法。构造的本体也可以重新使用,并可以进一步扩展,以从最终用户的角度考虑项目需求。

更新日期:2021-02-01
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