FT-SWRL: A Fuzzy-Temporal Extension of Semantic Web Rule Language
This work addresses the challenge of handling vague temporal expressions on the semantic web, offering a formal specification for domain-specific applications, though it appears incremental as it builds upon existing SWRL and fuzzy theories.
The authors tackled the problem of modeling imprecise temporal knowledge in OWL ontologies by developing FT-SWRL, a fuzzy-temporal extension of the Semantic Web Rule Language, which provides a standard approach for this purpose.
We present, FT-SWRL, a fuzzy temporal extension to the Semantic Web Rule Language (SWRL), which combines fuzzy theories based on the valid-time temporal model to provide a standard approach for modeling imprecise temporal domain knowledge in OWL ontologies. The proposal introduces a fuzzy temporal model for the semantic web, which is syntactically defined as a fuzzy temporal SWRL ontology (SWRL-FTO) with a new set of fuzzy temporal SWRL built-ins for defining their semantics. The SWRL-FTO hierarchically defines the necessary linguistic terminologies and variables for the fuzzy temporal model. An example model demonstrating the usefulness of the fuzzy temporal SWRL built-ins to model imprecise temporal information is also represented. Fuzzification process of interval-based temporal logic is further discussed as a reasoning paradigm for our FT-SWRL rules, with the aim of achieving a complete OWL-based fuzzy temporal reasoning. Literature review on fuzzy temporal representation approaches, both within and without the use of ontologies, led to the conclusion that the FT-SWRL model can authoritatively serve as a formal specification for handling imprecise temporal expressions on the semantic web.