Capturing Telic/Atelic Temporal Data Semantics: Generalizing Conventional Conceptual Models
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Ram, Sudha
Snodgrass, Richard T
Terenziani, Paolo
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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 semantics (i.e., telic) from those are intrinsically devoid of culmination (i.e., atelic). To differentiate between telic and atelic data semantics in conceptual database design, we propose an annotation-based temporal conceptual model that generalizes the semantics of a conventional conceptual model. Our temporal conceptual design approach involves: 1) capturing 'what' semantics using a conventional conceptual model; 2) employing annotations to differentiate between telic and atelic data semantics 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 semantics using temporal annotations. We also show how these semantics 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., semantics implied by the interaction of annotations, we illustrate the logical consequences of representing telic/atelic data semantics during temporal conceptual design.
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IEEE Transactions on Knowledge and Data Engineering
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26
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3
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© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Information and computing sciences
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Computer Science, Artificial Intelligence
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Information Systems
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Khatri, V; Ram, S; Snodgrass, RT; Terenziani, P, Capturing Telic/Atelic Temporal Data Semantics: Generalizing Conventional Conceptual Models, IEEE Transactions on Knowledge and Data Engineering, 2014, 26 (3), pp. 528-548