A model representing environmental data is called a context model. Appropriate context models currently lack means for modeling temporal and spatial information ...
In this paper, we propose a graph- and role-based context model (GRoCoMo), which includes expressive means for describing time and location. A query language ...
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This study examines the relationship between the length of time a cabinet4 holds power and various features of the parliamentary context: the degree of party ...
Context can be defined to be a meaningful and descriptive state of a physical space, in which relevant activities of the humans and movements of objects in ...
Oct 16, 2024 · Its key insight is that the future abnormal events in a target window can be accurately predicted if their preceding observation window exhibits ...
Context modeling is the underlying foundation of any context-aware system. The whole system is built around this model.
A context model is one that uses preceding events to model the next event. For example, in the string ``object'' the character ``t'' is said to occur within ...
People use time and space flexibly to infer causality based on their ongoing experiences. Such flexibility in making causal inferences may have adaptive ...
This paper proposes, develops, and demonstrates the following: 1) a novel context model and reasoning approach developed with concepts from the state-space ...
The purpose of this paper is to provide an overview of methods that can be used for space-time analysis and modeling. We start by situating our discussions in a ...