A Fuzzy Model for Representing Uncertain, Subjective, and Vague Temporal Knowledge in Ontologies

Abstract. Time modeling is a crucial feature in many application domains. However, temporal information often is not crisp, but is uncertain, subjective and vague. This is particularly true when representing historical information, as historical accounts are inherently imprecise. Similarly, we conjecture that in the Semantic Web representing uncertain temporal information will be a common requirement. Hence, existing approaches for temporal modeling based on crisp representation of time cannot be applied to these advanced modeling tasks. To overcome these difficulties, in this paper we present fuzzy interval-based temporal model capable of representing imprecise temporal knowledge. Our approach naturally subsumes existing crisp temporal models, i.e. crisp temporal relationships are intuitively represented in our system. Apart from presenting the fuzzy temporal model, we discuss how this model is integrated with the ontology model to allow annotating ontology definitions with time spec...

• Type: Conference
• Year: 2003
• Where: COOPIS
• Authors: Gábor Nagypál, Boris Motik
• Keywords: COOPIS 2003, Information System, Temporal Information, Temporal Model, Uncertain Temporal Information