Contextualising Ontologies with Image, Number and Rationality

Ontologies have been proven useful in areas such as information management and Artificial Intelligence. Based on ontologies, datasets using the same concepts can be integrated or converted automatically. The same concept however can represent different features depending upon perspectives. A concept “building” for instance can represent a...

The most common geometric and semantic errors in CityGML datasets

To be used as input in most simulation and modelling software, 3D city models should be geometrically and topologically valid, and semantically rich. We investigate in this paper what is the quality of currently available CityGML datasets, i.e. we validate the geometry/topology of the 3D primitives (Solid and MultiSurface), and we validate...

Semantics-based Fusion for CityGML and 3D LandXML

For any developments that require spatial data, often the fusion of diverse spatial datasets is unavoidable. For instance in developing a 3D cadastral database serving various purposes, data may need to be sourced from different spatial datasets such as: building design models in BIM (Building Information Model) format, topographic and built...