Author:
Joanna Isabelle Olszewska
Affiliation:
University of West Scotland, United Kingdom
Keyword(s):
Spatial and Temporal Reasoning, Reasoning about Motion and Change, Ontologies of Time and Space-time,
Temporal Information Extraction, Spatio-temporal Knowledge Representation Systems.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Artificial Intelligence
;
Autonomous Systems
;
e-Business
;
Enterprise Engineering
;
Enterprise Information Systems
;
Enterprise Ontologies
;
Formal Methods
;
Knowledge Representation and Reasoning
;
Knowledge-Based Systems
;
Ontologies
;
Simulation and Modeling
;
Symbolic Systems
Abstract:
To automatically understand agents’ environment and its changes, the study of spatio-temporal relations between
the objects evolving in the observed scene is of prime importance. In particular, the temporal aspect is
crucial to analyze scene’s objects of interest and their trajectories, e.g. to follow their movements, understand
their behaviours, etc. In this paper, we propose to conceptualize qualitative spatio-temporal relations in terms
of the clock model and extend it to a new spatio-temporal model we called cylindric clock model, in order to
effectively perform automated reasoning about the scene and its objects of interest and to improve the modeling
of dynamic scenes compared to state-of-art approaches as demonstrated in the carried out experiments.
Hence, the new formalisation of the qualitative spatio-temporal relations provides an efficient method for both
knowledge representation and information processing of spatio-temporal motion data.