Abstract. We propose a learning approach for integrating formal knowledge into statistical inference by exploiting ontologies as a semantically rich and fully formal representation...
The problem of designing suitable conceptual modeling languages for system engineering is far from being solved. In the past years, some works have proposed the use of foundational...
Various forms of reasoning, the profusion of knowledge, the gap between neuro-inspired approaches and conceptual representations, the problem of inconsistent data input, and the ma...
This paper uses a knowledge-based approach to querying heterogeneous spatial databases based on an ontology and conceptual and attribute similarities. The ontology, which may be in...
: We have constructed a set of ontologies modelled on conceptual structures elicited from several domain experts. Protocols were collected from various experts who advise on the se...