Authors:
Christophe Billiet
and
Guy De Tré
Affiliation:
Ghent University, Belgium
Keyword(s):
Possibility Theory, Time Domain Intervals, Visualization, Discrete Time Model, Allen Relationships.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Complex Fuzzy Systems
;
Computational Intelligence
;
Fuzzy Information Processing, Fusion, Text Mining
;
Fuzzy Information Retrieval and Data Mining
;
Fuzzy Systems
;
Soft Computing
;
Soft Computing and Intelligent Agents
Abstract:
One of the most important purposes of information systems is to allow human users to retrieve their data or information or knowledge derived from their data. These data may be subject to imperfections and often represent time indications, as time is an important part of reality. Representations of time indications rely on the information system's time domain. Obviously, the effectiveness of an information system in retrieval context depends greatly on the interpretability of the presentation of its data, information or knowledge. For that reason, such data, information or knowledge is usually visualized. The work presented in this paper proposes a novel approach to visualize time domain intervals subject to uncertainty and also shows how temporal reasoning with these visualizations can be done. The presented novel approach considers gradual confidence in the context of uncertainty and is specifically designed for time domain intervals.