Difference between revisions of "Semantics"

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=Software Engineering and Semantics=
=Software Engineering and Semantics=
To relate [[semantics]] with software engineering, we can start from [[Dana Scott]]'s work on [[mathematical semantics]]. He wrote a famous short book<ref>{{:Paper/Outline of a Mathematical Theory of Computation}}</ref>, that outlined the nature of computation into a [[scale-free]] mathematical object called [[lattice]]. He also axiomatically claimed that all computable structures of any scale must be representable using [[lattice]]s, which are [[time-like]] structures.
To relate [[semantics]] with software engineering, we can start from [[Dana Scott]]'s work on [[mathematical semantics]]. He wrote a famous paper<ref>{{:Paper/Outline of a Mathematical Theory of Computation}}</ref>, that outlined the nature of computation into a [[scale-free]] mathematical object called [[lattice]]. He also axiomatically claimed that all computable structures of any scale must be representable using [[lattice]]s, which are [[time-like]] structures.


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Revision as of 08:37, 3 September 2021

Semantics of data can be visualized using Semantic Result Formats. This presents a conduit to represent any spatial-temporal events or data content in a semantically represented framework. The hint is that semantics of any data don't need to be bound to a given scale. The nature of semantics is scale-free. This simply means that we can reuse the functionality of Semantic Result Formats for a wide range of applications.

Software Engineering and Semantics

To relate semantics with software engineering, we can start from Dana Scott's work on mathematical semantics. He wrote a famous paper[1], that outlined the nature of computation into a scale-free mathematical object called lattice. He also axiomatically claimed that all computable structures of any scale must be representable using lattices, which are time-like structures.


References

  1. Scott, Dana (January 1, 1970). "Outline of a Mathematical Theory of Computation". local page: Oxford University Computing Laboratory Programming Research Group. 

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