No Time, No Wholes: A Temporal and Causal-Oriented Approach to the Ontology of Wholes

Spatial Reasoning and Ontology: Parts, Wholes, and Locations

Formalising Temporal Constraints on Part-Whole Relations

Representing part-whole relations and effectively using them in domain ontologies and conceptual data models poses multiple challenges. In this paper we face the issue of imposing temporal constraints on part-whole relationships, introducing a way to account for essential and immutable parts (and wholes) in addition to the usual mandatory parts (and wholes). Our approach is based on i) an expli...

Context-aware Modeling for Spatio-temporal Data Transmitted from a Wireless Body Sensor Network

Context-aware systems must be interoperable and work across different platforms at any time and in any place. Context data collected from wireless body area networks (WBAN) may be heterogeneous and imperfect, which makes their design and implementation difficult. In this research, we introduce a model which takes the dynamic nature of a context-aware system into consideration. This model is con...

Statistical learning of parts and wholes: A neural network approach.

Statistical learning is often considered to be a means of discovering the units of perception, such as words and objects, and representing them as explicit "chunks." However, entities are not undifferentiated wholes but often contain parts that contribute systematically to their meanings. Studies of incidental auditory or visual statistical learning suggest that, as participants learn about who...

Values in Contexts: An Ontological Theory I

Values exist not in isolation, but in complex wholes. Values are what they are because of the complex wholes in which they are situated. To do justice to this thesis will require a holistic ontology, a theory according to which many types of entities exist only as inseparable parts or moments of wider contexts or environments. An ontological theory of environment-s-with roots in Gestalt psychol...