MEP DOMAIN OBJECT CLASSIFICATION THROUGH INTERDOMAIN RULE-BASED SEMANTIC ENRICHMENT ON KNOWLEDGE GRAPHS

Duygu Utkucu, Rafael Sacks

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The data and information of objects in building information modelling (BIM) from different software are delivered with incomplete data and misclassified objects. This study focuses on classifying mechanical, electrical, and plumbing (MEP) objects based on interdomain topological relationships and geometry conditions through semantic web technologies and semantic enrichment with a rule-based inferencing technique. Four rule sets were developed and run over 32 knowledge graphs of building models with at least 90% accuracy. False positives and negatives arose from non-discrete geometry and topology features of the objects. To address this issue, future work will integrate the proposed method with image recognition.

Original languageEnglish
Title of host publicationProceedings of the 2023 European Conference on Computing in Construction and the 40th International CIB W78 Conference
EditorsMohamad Kassem, Lavinia Chiara Tagliabue, Robert Amor, Marijana Sreckovic, Athanasios Chassiakos
PublisherEuropean Council on Computing in Construction (EC3)
ISBN (Print)9780701702731
DOIs
StatePublished - 2023
Event2023 European Conference on Computing in Construction and Summer School 2023 CIB W78 40th International Conference and Charles M. Eastman PhD Award - Heraklion, Greece
Duration: 10 Jul 202312 Jul 2023

Publication series

NameProceedings of the European Conference on Computing in Construction

Conference

Conference2023 European Conference on Computing in Construction and Summer School 2023 CIB W78 40th International Conference and Charles M. Eastman PhD Award
Country/TerritoryGreece
CityHeraklion
Period10/07/2312/07/23

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Building and Construction

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