시멘틱 지식그래프 구축 및 활용을 통한 BIM 모델 내 간섭 유형 및 심각도 분류 방안

• 영문명: Semantic Knowledge Graph Construction and Utilization for Clash Type and Severity Classification in Federated BIM Models
• 발행기관: 한국BIM학회
• 저자명: 신동욱(Dong-Uk Shin) 유영수(Young-Su Yu) 이원복(Won-Bok Lee) 이현우(Hyun-Woo Lee) 구본상(Bon-Sang Koo)
• 간행물 정보: 『KIBIM Magazine』15권 3호, 44~56쪽, 전체 13쪽
• 주제분류: 공학 > 건축공학
• 파일형태: PDF
• 발행일자: 2025.09.30

국문 초록

Clash detection in BIM is a critical process for identifying potential interferences during the design phase and preventing design errors. However, conventional clash detection approaches are limited to simple geometric overlap checks and fail to consider contextual information such as clash types and severity, reducing their effectiveness in supporting design adjustments. To address these limitations, this study proposes the ‘BIMClash’ framework, which leverages a semantic knowledge graph to represent clash information and classifies both clash types and severity levels using Cypher-based automated queries. A domain-specific ontology schema was developed, and object and relational data were extracted from IFC-based BIM models to construct the semantic graph in Neo4j. The framework incorporates spatial adjacency, attribute data, and predefined classification criteria to enable automated clash classification. Experimental results demonstrated that BIMClash achieved over 90% accuracy in clash type and severity classification compared to expert annotations, while reducing classification time by approximately 84% relative to manual processes. These findings highlight the practical value of the proposed framework in enhancing both the accuracy and efficiency of clash detection during the design stage.

목차

1. 서 론

2. 선행연구 및 이론고찰

3. 연구방법

4. BIMClash 기반 간섭 검토 검증

5. 결 론

감사의 글

References

키워드

간섭 검토 간섭 유형 및 심각도 분류 시멘틱 지식그래프 온톨로지 스키마 Cypher 쿼리 빌딩정보모델 Clash Detection Clash Type and Severity Classification Semantic Knowledge Graph Ontology Schema Cypher Query BIM