Abstract—Stakeholders from several domains with local terminologies have to work together to develop and operate softwareintensive systems, like production automation systems. On...
— Recent advances in machine learning and adaptive motor control have enabled efficient techniques for online learning of stationary plant dynamics and it’s use for robust pre...
Semantic annotation of text requires the dynamic merging of linguistically structured information and a "world model", usually represented as a domain-specific ontology....
We put forward a methodological approach aimed at guiding ontology modellers in choosing which relations to reify. Our proposal is based on the notion of aggregation as used in con...
This paper describes an ontology for enterprise modelling, The ontology has enabled conceptual integration of two different modelling methodologies, one based on UEML (Unified Ente...