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Automated ontology matching in the architecture, engineering and construction domain - A case study

: Schneider, Georg

Volltext (PDF; )

Poveda-Villalón, M.:
7th Linked Data in Architecture and Construction Workshop, LDAC 2019. Proceedings. Online resource : Lisbon, Portugal, June 19-21, 2019
Lisbon, 2019 (CEUR Workshop Proceedings 2389)
Linked Data in Architecture and Construction Workshop (LDAC) <7, 2019, Lisbon>
European Commission EC
H2020; 680517; MOEEBIUS
Modelling Optimization of Energy Efficiency in Buildings for Urban Sustainability
Bundesministerium fur Wirtschaft und Energie BMWi (Deutschland)

Initiative Mittelstand 4.0
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IBP ()

The ontology-based modelling of the built environment is deemed promising to successfully integrate disparate knowledge silos and has gained significant attraction in industry and academia. This interest has led to a proliferating number of ontologies and the manual definition of schema level alignments among them is a tedious task. Hence, this paper explores the possibilities of automated ontology matching methods in this regard. This work compares manually created and automatically generated alignments of six domain ontologies to the building topology ontology. The initial findings of this case study indicate that current state of the art ontology matching tools are in principle capable of detecting automatically correct alignments and that their is a strong need to define domain specific benchmarks.