Towards a Theory of Semantic Communication (Extended Technical Report)

Abstract

This paper studies methods of quantitatively measuring semantic information in communication. We review existing work on quantifying semantic information, then investigate a model-theoretical approach for semantic data compression and reliable semantic communication. We relate our approach to the statistical measurement of information by Shannon, and show that Shannon's source and channel coding theorems have semantic counterparts.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2011
Accession Number
ADA544137

Entities

People

  • Ananthram Swami
  • Craig Partridge
  • James Hendler
  • Jie J. Bao
  • Mike Dean
  • Prithwish Basu
  • Will Leland

Organizations

  • Rensselaer Polytechnic Institute

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Birds
  • Channel Capacity
  • Channel Coding
  • Coding
  • Compression
  • Data Compression
  • Decoding
  • Engineering
  • Information Theory
  • Language
  • Measurement
  • Military Research
  • Probability
  • Semantics
  • Symbols

Fields of Study

  • Computer science

Readers

  • Computational Linguistics
  • Radio communications and signal processing.
  • Systems Analysis and Design