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Computational semiotics

Computational semiotics is an interdisciplinary field that applies, conducts, and draws on research in logic, mathematics, the theory and practice of computation, formal and natural language studies, the cognitive sciences generally, and semiotics proper. The term encompasses both the application of semiotics to computer hardware and software design and, conversely, the use of computation for performing semiotic analysis. The former focuses on what semiotics can bring to computation; the latter on what computation can bring to semiotics.

Semiotics of computation

A common theme of this work is the adoption of a sign-theoretic perspective on issues of artificial intelligence and knowledge representation. Many of its applications lie in the field of human-computer interaction (HCI) and fundamental devices of recognition.

One part of this field, known as algebraic semiotics, combines aspects of algebraic specification and social semiotics, and has been applied to user interface design and to the representation of mathematical proofs.

Computational methods for semiotics

This strand involves formalizing semiotic methods of analysis and implementing them as algorithms on computers to process large digital data sets. These data sets are typically textual but semiotics opens the way for analysis of all manner of other data. Existing work provides methods for automated opposition analysis and generation of semiotic squares;[1] metaphor identification;[2] and image analysis.[3] Shackell[4] has suggested that a new field of Natural Semiotic Processing should emerge to extend natural language processing into areas such as persuasive technology, marketing and brand analysis that have significant cultural or non-linguistic aspects. On the other side, Meunier argues that semiotics and computation are compatible and combining them provides more logical consistency in understanding forms of meaning.[5]

See also

References

  1. ^ Shackell, Cameron; Sitbon, Laurianne (2020-01-29). "Computational opposition analysis using word embeddings: A method for strategising resonant informal argument". Argument & Computation. 10 (3): 301–317. doi:10.3233/AAC-190467.
  2. ^ Neuman, Yair; Danesi, Marcel; Cohen, Yochai; Assaf, Dan (2015). "Opposition theory and computational semiotics". Σημειωτκή - Sign Systems Studies. 43 (2–3): 159–172. doi:10.12697/SSS.2015.43.2-3.01. ISSN 1406-4243.
  3. ^ Chartier, Jean-François; Pulizzotto, Davide; Chartrand, Louis; Meunier, Jean-Guy (2019-10-25). "A data-driven computational semiotics: The semantic vector space of Magritte's artworks". Semiotica. 2019 (230): 19–69. doi:10.1515/sem-2018-0120. ISSN 0037-1998. S2CID 203304655.
  4. ^ Shackell, C. (26 July 2019). "Finite semiotics: Cognitive sets, semiotic vectors, and semiosic oscillation". Semiotica. 2019 (229): 211–235. doi:10.1515/sem-2017-0127. S2CID 67111370.
  5. ^ Meunier, Jean Guy (2021). Computational Semiotics. Bloomsbury Academic. ISBN 9781350166622.

Further reading

  • Meunier, J.G. (2021). Computational Semiotics, Bloomsburry Academic.
  • Andersen, P.B. (1991). A Theory of Computer Semiotics, Cambridge University Press.
  • de Souza, C.S., The Semiotic Engineering of Human-Computer Interaction, MIT Press, Cambridge, MA, 2005.
  • Tanaka-Ishii, K. (2010), "Semiotics of Programming", Cambridge University Press.
  • Hugo, J. (2005), "The Semiotics of Control Room Situation Awareness", Fourth International Cyberspace Conference on Ergonomics, Virtual Conference, 15 Sep – 15 Oct 2005. Eprint
  • Gudwin, R.; Queiroz J. (eds) - Semiotics and Intelligent Systems Development - Idea Group Publishing, Hershey PA, USA (2006), ISBN 1-59904-063-8 (hardcover), 1-59904-064-6 (softcover), 1-59904-065-4 (e-book), 352 ps. Link to publisher
  • Gudwin, R.; Queiroz, J. - Towards an Introduction to Computational Semiotics - Proceedings of the 2005 IEEE International Conference on Integration of Knowledge Intensive Multi-Agent Systems - KIMAS'05, 18–21 April 2005, Waltham, MA, USA, pp. 393–398.IEEExplore
  • Mili, A., Desharnais, J., Mili, F., with Frappier, M., Computer Program Construction, Oxford University Press, New York, NY, 1994. — Introduction to Tarskian relation theory and its applications within the relational programming paradigm.
  • Rieger, Burghard B.: Computing Granular Word Meanings. A fuzzy linguistic approach to Computational Semiotics, in: Wang, Paul P. (ed.): Computing with Words. [Wiley Series on Intelligent Systems 3], New York (John Wiley & Sons) 2001, pp. 147–208.
  • Rieger, Burghard B.: Computing Fuzzy Semantic Granules from Natural Language Texts. A computational semiotics approach to understanding word meanings, in: Hamza, M.H. (ed.): Artificial Intelligence and Soft Computing, Proceedings of the IASTED International Conference, Anaheim/ Calgary/ Zürich (IASTED/ Acta Press) 1999, pp. 475–479.
  • Rieger, Burghard B.: A Systems Theoretical View on Computational Semiotics. Modeling text understanding as meaning constitution by SCIPS, in: Proceedings of the Joint IEEE Conference on the Science and Technology of Intelligent Systems (ISIC/CIRA/ISAS-98), Piscataway, NJ (IEEE/Omnipress) 1998, pp. 840–845. IEEExplore
  • Shackell, C.; Sitbon, Laurianne (2019). "Computational opposition analysis using word embeddings: A method for strategising resonant informal argument". Argument & Computation. 10 (3): 301–317. doi:10.3233/AAC-190467.

External links

  • Goguen, J., Algebraic Semiotics
  • Gudwin, R.R., Computational Semiotics
  • Gudwin, R.R., List of Publications in Computational Semiotics and other fields
  • UNICAMP Computational Semiotics Group

computational, semiotics, interdisciplinary, field, that, applies, conducts, draws, research, logic, mathematics, theory, practice, computation, formal, natural, language, studies, cognitive, sciences, generally, semiotics, proper, term, encompasses, both, app. Computational semiotics is an interdisciplinary field that applies conducts and draws on research in logic mathematics the theory and practice of computation formal and natural language studies the cognitive sciences generally and semiotics proper The term encompasses both the application of semiotics to computer hardware and software design and conversely the use of computation for performing semiotic analysis The former focuses on what semiotics can bring to computation the latter on what computation can bring to semiotics Contents 1 Semiotics of computation 2 Computational methods for semiotics 3 See also 4 References 5 Further reading 6 External linksSemiotics of computation EditA common theme of this work is the adoption of a sign theoretic perspective on issues of artificial intelligence and knowledge representation Many of its applications lie in the field of human computer interaction HCI and fundamental devices of recognition One part of this field known as algebraic semiotics combines aspects of algebraic specification and social semiotics and has been applied to user interface design and to the representation of mathematical proofs Computational methods for semiotics EditThis strand involves formalizing semiotic methods of analysis and implementing them as algorithms on computers to process large digital data sets These data sets are typically textual but semiotics opens the way for analysis of all manner of other data Existing work provides methods for automated opposition analysis and generation of semiotic squares 1 metaphor identification 2 and image analysis 3 Shackell 4 has suggested that a new field of Natural Semiotic Processing should emerge to extend natural language processing into areas such as persuasive technology marketing and brand analysis that have significant cultural or non linguistic aspects On the other side Meunier argues that semiotics and computation are compatible and combining them provides more logical consistency in understanding forms of meaning 5 See also EditArtificial intelligence Computational linguistics Computer human interaction Formal language Information theory Knowledge representation Computational semantics Logic of information Meaning Natural language Relational database Semiotic engineering Semiotic information theory User interfaceReferences Edit Shackell Cameron Sitbon Laurianne 2020 01 29 Computational opposition analysis using word embeddings A method for strategising resonant informal argument Argument amp Computation 10 3 301 317 doi 10 3233 AAC 190467 Neuman Yair Danesi Marcel Cohen Yochai Assaf Dan 2015 Opposition theory and computational semiotics Shmeiwtkh Sign Systems Studies 43 2 3 159 172 doi 10 12697 SSS 2015 43 2 3 01 ISSN 1406 4243 Chartier Jean Francois Pulizzotto Davide Chartrand Louis Meunier Jean Guy 2019 10 25 A data driven computational semiotics The semantic vector space of Magritte s artworks Semiotica 2019 230 19 69 doi 10 1515 sem 2018 0120 ISSN 0037 1998 S2CID 203304655 Shackell C 26 July 2019 Finite semiotics Cognitive sets semiotic vectors and semiosic oscillation Semiotica 2019 229 211 235 doi 10 1515 sem 2017 0127 S2CID 67111370 Meunier Jean Guy 2021 Computational Semiotics Bloomsbury Academic ISBN 9781350166622 Further reading EditMeunier J G 2021 Computational Semiotics Bloomsburry Academic Andersen P B 1991 A Theory of Computer Semiotics Cambridge University Press de Souza C S The Semiotic Engineering of Human Computer Interaction MIT Press Cambridge MA 2005 Tanaka Ishii K 2010 Semiotics of Programming Cambridge University Press Hugo J 2005 The Semiotics of Control Room Situation Awareness Fourth International Cyberspace Conference on Ergonomics Virtual Conference 15 Sep 15 Oct 2005 Eprint Gudwin R Queiroz J eds Semiotics and Intelligent Systems Development Idea Group Publishing Hershey PA USA 2006 ISBN 1 59904 063 8 hardcover 1 59904 064 6 softcover 1 59904 065 4 e book 352 ps Link to publisher Gudwin R Queiroz J Towards an Introduction to Computational Semiotics Proceedings of the 2005 IEEE International Conference on Integration of Knowledge Intensive Multi Agent Systems KIMAS 05 18 21 April 2005 Waltham MA USA pp 393 398 IEEExplore Mili A Desharnais J Mili F with Frappier M Computer Program Construction Oxford University Press New York NY 1994 Introduction to Tarskian relation theory and its applications within the relational programming paradigm Rieger Burghard B Computing Granular Word Meanings A fuzzy linguistic approach to Computational Semiotics in Wang Paul P ed Computing with Words Wiley Series on Intelligent Systems 3 New York John Wiley amp Sons 2001 pp 147 208 Rieger Burghard B Computing Fuzzy Semantic Granules from Natural Language Texts A computational semiotics approach to understanding word meanings in Hamza M H ed Artificial Intelligence and Soft Computing Proceedings of the IASTED International Conference Anaheim Calgary Zurich IASTED Acta Press 1999 pp 475 479 Rieger Burghard B A Systems Theoretical View on Computational Semiotics Modeling text understanding as meaning constitution by SCIPS in Proceedings of the Joint IEEE Conference on the Science and Technology of Intelligent Systems ISIC CIRA ISAS 98 Piscataway NJ IEEE Omnipress 1998 pp 840 845 IEEExplore Shackell C Sitbon Laurianne 2019 Computational opposition analysis using word embeddings A method for strategising resonant informal argument Argument amp Computation 10 3 301 317 doi 10 3233 AAC 190467 External links EditGoguen J Algebraic Semiotics Gudwin R R Computational Semiotics Gudwin R R List of Publications in Computational Semiotics and other fields International Computational Semiotics Group UNICAMP Computational Semiotics Group Retrieved from https en wikipedia org w index php title Computational semiotics amp oldid 1131335912, wikipedia, wiki, book, books, library,

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