Abstract
Semantic Web is an important step towards significant changes in representation and utilization of data on the web. The use of Resource Description Framework (RDF) as a fundamental data format creates new ways of expressing and exploring relations existing between pieces of data. An importance of articulating temporal aspects using RDF data, and a need to query these data using vague and imprecise terms is a challenging undertaking. This paper presents a fuzzy-based approach to deal with RDF data containing temporal information and built using non-trivial data structures (RDF Schemas). It includes description of built-in predicates needed for constructing temporal queries and supporting imprecise phrases describing time and data features. A simple case study using DBLP database illustrates the application of the proposed approach.