Ontology-Based Rule Compliance Checking for Subsurface Objects

Abstract

Abstract. This paper presents a model for representing compliance rules related to subsurface objects. Rules expressed in this model can be automatically evaluated (using SHACL or SPARQL) on existing 3D city models expressed in RDF. The main characteristics of the proposed model are (1) its expressiveness, that comes from the use of formal ontologies for representing the rules and the objects they refer to, (2) its integrative nature, given by the interconnection among the proposed ontologies and the connection of these ontologies with CityGML and IFC (in an ontological form), and (3) its multi-geometry aspect. Preliminary results allow to automatically evaluate formally expressed compliance rules for underground objects in a 3D city model, that will considerably ease the task of professionals of the field.

Knowledge Graph Construction for Subsurface Objects Including Uncertainty and Time Variation

“…We have proposed a model to represent parameterized geometries by extending the ontologies defined by Métral et al (2020). It defines additional classes and properties to represent geometrical uncertainty and geometrical variations over time.…”

“…The vocabulary of the proposed model has been defined as an OWL ontology. It extends the ontologies defined by Métral et al (2020) by adding classes and properties to represent uncertainty, data provenance, and time dependent geometries.…”

“…In such knowledge graphs data are represented as RDF triples (subject, predicate, object) that can be accessed by SPARQL queries. Métral et al (2020) defined a set of interconnected ontologies for representing subsurface objects with their semantic properties and their geometries. As quoted by the authors, the ontologies provide an integration schema to collect geospatial data from different sources and merge them into a single RDF graph.…”

“…The proposed model the extends the model of Métral et al (2020) by adding new object classes and relations to represent uncertain and time-dependent geometries, and to associate a provenance and a temporal validity to geometric values.…”

Digital Modelling of Underground Volumes, Including the Visualization of Confidence Levels for the Positioning of Subsurface Objects

“…The project exploits open government data from the State of Geneva [23] by a resource description framework (RDF triple store), providing interoperability between BIM, GIS ontologies and a minimal model for subsurface objects (Figure 1). If required, the data are completed [24,25], such that a full description of the geometric primitives of subsurface objects is possible. The entire workflow has been tested on two subsurface volumes in Geneva and feasibility demonstrated by the implementation partner [26].…”