@misc{10481/88189,
year = {2014},
month = {1},
url = {https://hdl.handle.net/10481/88189},
abstract = {We propose a fuzzy ontology for human activity representation, which allows us to model and reason
about vague, incomplete, and uncertain knowledge. Some relevant subdomains found to be missing in
previous proposed ontologies for this domain were modelled as well. The resulting fuzzy OWL 2 ontology
is able to model uncertain knowledge and represent temporal relationships between activities using an
underlying fuzzy state machine representation. We provide a proof of concept of the approach in work
scenarios such as the office domain, and also make experiments to emphasize the benefits of our
approach with respect to crisp ontologies. As a result, we demonstrate that the inclusion of fuzzy con-
cepts and relations in the ontology provide benefits during the recognition process with respect to crisp
approaches.},
publisher = {Elsevier},
title = {A fuzzy ontology for semantic modelling and recognition of human behaviour},
doi = {10.1016/j.knosys.2014.04.016},
author = {Díaz Rodríguez, Natalia Ana and Pegalajar Cuéllar, Manuel and Lilius, Johan and Delgado Calvo-Flores, Miguel},
}