SemanDICT: A Python-Based Semantic Dictionary Engine for IFC Objects with RDF Generation and SPARQL Querying

Murat Aydın

doi:10.54287/gujsa.1800713

SemanDICT: A Python-Based Semantic Dictionary Engine for IFC Objects with RDF Generation and SPARQL Querying

Abstract

This study presents SemanDICT, a modular semantic dictionary system designed to enhance the semantic richness, traceability, and interoperability of IFC-based Building Information Modeling (BIM) data. The system supports RDF triple generation, SPARQL querying, and multi-user data editing processes through interface panels structured according to ontology engineering principles. Users can select IFC classes to define data types and unit-defined properties; semantic consistency can be verified through bSDD integration. The AI Feature Assistant Panel suggests missing features based on contextual inference, while the Material Properties Database supports domain-focused semantic modeling. RDF export is performed in OWL-compliant formats such as Turtle, RDF/XML, and JSON-LD. The panel-based workflow covers eight core processes: IFC class selection, property suggestion, semantic definition, ontological validation, RDF export, SPARQL querying, statistical analysis, and project collaboration. Each process is paired with a corresponding interface panel, offering modular interaction and extensible development capabilities. The SPARQL Query Panel facilitates semantic queries, while the Dictionary Statistics Panel visualizes data type distribution and semantic density. The Project Collaboration Panel supports multi-user development with simultaneous editing and version control. SemanDICT contributes to academia and industry in the areas of ontology-focused design, data management, and open standards by bringing semantic web technologies together with BIM production environments.

Keywords

References

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Details

Primary Language

English

Subjects

Soft Computing, Civil Construction Engineering, Architectural Engineering

Journal Section

Research Article

Authors

Murat Aydın ^*
0000-0002-3928-2936
Türkiye

Publication Date

December 31, 2025

Submission Date

October 10, 2025

Acceptance Date

November 24, 2025

Published in Issue

Year 2025 Volume: 12 Number: 4

DOI

https://doi.org/10.54287/gujsa.1800713

IZ

https://izlik.org/JA67JJ28JT

Cite

RIS / Bibtex

APA

Aydın, M. (2025). SemanDICT: A Python-Based Semantic Dictionary Engine for IFC Objects with RDF Generation and SPARQL Querying. Gazi University Journal of Science Part A: Engineering and Innovation, 12(4), 1088-1120. https://doi.org/10.54287/gujsa.1800713

AMA

1.Aydın M. SemanDICT: A Python-Based Semantic Dictionary Engine for IFC Objects with RDF Generation and SPARQL Querying. GU J Sci, Part A. 2025;12(4):1088-1120. doi:10.54287/gujsa.1800713

Chicago

Aydın, Murat. 2025. “SemanDICT: A Python-Based Semantic Dictionary Engine for IFC Objects With RDF Generation and SPARQL Querying”. Gazi University Journal of Science Part A: Engineering and Innovation 12 (4): 1088-1120. https://doi.org/10.54287/gujsa.1800713.

EndNote

Aydın M (December 1, 2025) SemanDICT: A Python-Based Semantic Dictionary Engine for IFC Objects with RDF Generation and SPARQL Querying. Gazi University Journal of Science Part A: Engineering and Innovation 12 4 1088–1120.

IEEE

[1]M. Aydın, “SemanDICT: A Python-Based Semantic Dictionary Engine for IFC Objects with RDF Generation and SPARQL Querying”, GU J Sci, Part A, vol. 12, no. 4, pp. 1088–1120, Dec. 2025, doi: 10.54287/gujsa.1800713.

ISNAD

Aydın, Murat. “SemanDICT: A Python-Based Semantic Dictionary Engine for IFC Objects With RDF Generation and SPARQL Querying”. Gazi University Journal of Science Part A: Engineering and Innovation 12/4 (December 1, 2025): 1088-1120. https://doi.org/10.54287/gujsa.1800713.

JAMA

1.Aydın M. SemanDICT: A Python-Based Semantic Dictionary Engine for IFC Objects with RDF Generation and SPARQL Querying. GU J Sci, Part A. 2025;12:1088–1120.

MLA

Aydın, Murat. “SemanDICT: A Python-Based Semantic Dictionary Engine for IFC Objects With RDF Generation and SPARQL Querying”. Gazi University Journal of Science Part A: Engineering and Innovation, vol. 12, no. 4, Dec. 2025, pp. 1088-20, doi:10.54287/gujsa.1800713.

Vancouver

1.Murat Aydın. SemanDICT: A Python-Based Semantic Dictionary Engine for IFC Objects with RDF Generation and SPARQL Querying. GU J Sci, Part A. 2025 Dec. 1;12(4):1088-120. doi:10.54287/gujsa.1800713