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Data, Information, and Time

The DIT Model

Medium: Buch
ISBN: 978-3-030-96328-6
Verlag: Springer International Publishing
Erscheinungstermin: 18.03.2022
Lieferfrist: bis zu 10 Tage

This SpringerBrief presents the data- information-and-time (DIT) model that precisely clarifies the semantics behind the terms data, information and their relations to the passage of real time. According to the DIT model a data item is a symbol that appears as a pattern (e.g., visual, sound, gesture, or any bit pattern) in physical space. It is generated by a human or a machine in the current contextual situation and is linked to a concept in the human mind or a set of operations of a machine. An information item delivers the sense or the idea that a human mind extracts out of a given natural language proposition that contains meaningful data items. Since the given tangible, intangible and temporal context are part of the explanation of a data item, a change of context can have an effect on the meaning of data and the sense of a proposition. 
The DIT model provides a framework to show how the flow of time can change the truth-value of a proposition. This book compares our notions of data, information, and time in differing contexts: in human communication, in the operation of a computer system and in a biological system. In the final Section a few simple examples demonstrate how the lessons learned from the DIT-model can help to improve the design of a computer system.


Produkteigenschaften


  • Artikelnummer: 9783030963286
  • Medium: Buch
  • ISBN: 978-3-030-96328-6
  • Verlag: Springer International Publishing
  • Erscheinungstermin: 18.03.2022
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2022
  • Serie: SpringerBriefs in Computer Science
  • Produktform: Kartoniert
  • Gewicht: 149 g
  • Seiten: 75
  • Format (B x H x T): 155 x 235 x 6 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Autoren

1. Introduction.- 2. Overview of the DIT Model.- 3. Fundamental Terms.- 4. Context.- 5. Language and Information.- 6. Data in Communication.- 7. Data  in Archival Systems.- 8. Data in Real-Time Control Systems.- 9. Data in Biological Systems.- 10. Generation and Explanation of Data.- 11. Consequences for System Design.- 12. Conclusions.