Extending OWL by Fuzzy Description Logic
ICTAI '05 Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence
Uncertainty and the Semantic Web
IEEE Intelligent Systems
The use of ontologies for representing database schemas of fuzzy information
International Journal of Intelligent Systems
A Pattern-Based Framework for Uncertainty Representation in Ontologies
TSD '08 Proceedings of the 11th international conference on Text, Speech and Dialogue
Managing uncertainty and vagueness in description logics for the Semantic Web
Web Semantics: Science, Services and Agents on the World Wide Web
Web Semantics: Science, Services and Agents on the World Wide Web
ISWC '08 Proceedings of the 7th International Conference on The Semantic Web
A Crisp Representation for Fuzzy $\cal SHOIN$ with Fuzzy Nominals and General Concept Inclusions
Uncertainty Reasoning for the Semantic Web I
Optimizing the Crisp Representation of the Fuzzy Description Logic $\cal \mathcal{SROIQ}$
Uncertainty Reasoning for the Semantic Web I
Fuzzy description logics under Gödel semantics
International Journal of Approximate Reasoning
Towards a crisp representation of fuzzy description logics under Łukasiewicz Semantics
ISMIS'08 Proceedings of the 17th international conference on Foundations of intelligent systems
OWL 2 modeling and reasoning with complex human activities
Pervasive and Mobile Computing
Fuzzy ontology representation using OWL 2
International Journal of Approximate Reasoning
Representing and reasoning on typicality in formal ontologies
Proceedings of the 7th International Conference on Semantic Systems
Formal ontologies, exemplars, prototypes
ER'11 Proceedings of the 30th international conference on Advances in conceptual modeling: recent developments and new directions
f-SROIQ(G): an expressive fuzzy Description Logic supporting fuzzy data type group
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Inducing and storing generalised evidences using semantic web formalisms
HIKM '12 Proceedings of the Fifth Australasian Workshop on Health Informatics and Knowledge Management - Volume 129
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The need to deal with vague information in Semantic Web languages is rising in importance and, thus, calls for a standard way to represent such information. We may address this issue by either extending current Semantic Web languages to cope with vagueness, or by providing an ontology describing how to represent such information within Semantic Web languages. In this work, we follow the latter approach and propose and discuss an OWL ontology to represent important features of fuzzy OWL 2 statements.