Capturing Telic/Atelic Temporal Data Semantics: Generalizing Conventional Conceptual Models

Abstract

Time provides context for all our experiences, cognition, and coordinated collective action. Prior research in linguistics, artificial intelligence, and temporal databases suggests the need to differentiate between temporal facts with goal-related (i.e., telic) from those are intrinsically devoid of culmination (i.e., atelic). To differentiate between telic and atelic data in conceptual database design, we propose an annotation-based temporal conceptual model that generalizes the of a conventional conceptual model. Our temporal conceptual design approach involves: 1) capturing using a conventional conceptual model; 2) employing annotations to differentiate between telic and atelic data that help capture when semantics; 3) specifying temporal constraints, specifically nonsequenced semantics, in the temporal data dictionary as metadata. Our proposed approach provides a mechanism to represent telic/atelic temporal using temporal annotations. We also show how these can be formally defined using constructs of the conventional conceptual model and axioms in first-order logic. Via what we refer to as the semantics of composition, i.e., implied by the interaction of annotations, we illustrate the logical consequences of representing telic/atelic data during temporal conceptual design.