Editing Computational semiotics

{{Short description|Interdisciplinary field}}
{{Semiotics}}
'''Computational semiotics''' is an interdisciplinary field that applies, conducts, and draws on research in [[logic]], [[mathematics]], the [[theory of computation|theory]] and [[computer programming|practice]] of [[computer science|computation]], [[formal language|formal]] and [[natural language|natural]] [[linguistics|language studies]], the [[cognitive science]]s 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 (semiotics)|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 [[algebra]]ic specification and social semiotics, and has been applied to [[user interface]] design and to the representation of [[mathematical proof]]s.

== Computational methods for semiotics ==
This strand involves formalizing semiotic methods of analysis and implementing them as [[algorithm|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 square|semiotic squares]];<ref>{{Cite journal|last1=Shackell|first1=Cameron|last2=Sitbon|first2=Laurianne|date=2020-01-29|title=Computational opposition analysis using word embeddings: A method for strategising resonant informal argument|journal=Argument & Computation|volume=10|issue=3|pages=301–317|doi=10.3233/AAC-190467|doi-access=free}}</ref> metaphor identification;<ref>{{Cite journal|date=2015|title=Opposition theory and computational semiotics|url=https://www.ceeol.com/search/article-detail?id=457805|journal=Σημειωτκή - Sign Systems Studies|language=English|volume=43|issue=2–3|pages=159–172|issn=1406-4243|doi=10.12697/SSS.2015.43.2-3.01|last1=Neuman|first1=Yair|last2=Danesi|first2=Marcel|last3=Cohen|first3=Yochai|last4=Assaf|first4=Dan|doi-access=free}}</ref> and image analysis.<ref>{{Cite journal|last1=Chartier|first1=Jean-François|last2=Pulizzotto|first2=Davide|last3=Chartrand|first3=Louis|last4=Meunier|first4=Jean-Guy|date=2019-10-25|title=A data-driven computational semiotics: The semantic vector space of Magritte's artworks|journal=Semiotica|volume=2019|issue=230|pages=19–69|doi=10.1515/sem-2018-0120|s2cid=203304655 |issn=0037-1998}}</ref> Shackell<ref>{{cite journal |last1=Shackell |first1=C. |title=Finite semiotics: Cognitive sets, semiotic vectors, and semiosic oscillation |journal=Semiotica |date=26 July 2019 |volume=2019 |issue=229 |pages=211–235 |doi=10.1515/sem-2017-0127|s2cid=67111370 |url=https://eprints.qut.edu.au/115293/1/Finite%20semiotics%20-%20cognitive%20sets%20semiotic%20vectors%20and%20semiosic%20oscillation.docx }}</ref> 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.<ref>{{Cite book |last=Meunier |first=Jean Guy |title=Computational Semiotics |publisher=Bloomsbury Academic |year=2021 |isbn=9781350166622 |language=English}}</ref>

==See also==
{{div col|colwidth=22em}}
* [[Artificial intelligence]]
* [[Computational linguistics]]
* [[Computer-human interaction]]
* [[Formal language]]
* [[Information theory]]
* [[Knowledge representation]]
* [[Computational semantics]]
* [[Logic of information]]
* [[Meaning (semiotics)|Meaning]]
* [[Natural language]]
* [[Relational database]]
* [[Semiotic engineering]]
* [[Semiotic information theory]]
* [[User interface]]
{{div col end}}

==References==
{{Reflist}}

==Further reading==
* Meunier, J.G. (2021). ''Computational Semiotics'', [[Bloomsbury Academic]]''.''
* Andersen, P.B. (1991). ''A Theory of Computer Semiotics'', [http://www.cambridge.org/us/catalogue/catalogue.asp?isbn=0521393361 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", [http://www.cambridge.org/us/catalogue/catalogue.asp?isbn=9780521736275 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.  [http://www.chi-sa.org.za/Articles/CRSemiotics.htm 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. [http://www.igi-pub.com/books/details.asp?id=6188 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.&nbsp;393–398.[https://archive.today/20130415014518/http://ieeexplore.ieee.org/search/srchabstract.jsp?arnumber=1427113&isnumber=30814&punumber=9771&k2dockey=1427113@ieeecnfs 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.&nbsp;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.&nbsp;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.&nbsp;840–845. [https://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=713827&queryText%3DBurghard+B.+Rieger IEEExplore]
* {{cite journal|doi=10.3233/AAC-190467|title=Computational opposition analysis using word embeddings: A method for strategising resonant informal argument|journal=Argument & Computation|year=2019|last1=Shackell|first1=C.|last2=Sitbon|first2=Laurianne|volume=10 |issue=3 |pages=301–317 |doi-access=free}}

==External links==
* [[Joseph Goguen|Goguen, J.]], [http://www-cse.ucsd.edu/users/goguen/projs/semio.html Algebraic Semiotics]
* Gudwin, R.R., [http://www.dca.fee.unicamp.br/~gudwin/compsemio/ Computational Semiotics]
* Gudwin, R.R., [http://www.dca.fee.unicamp.br/~gudwin/Publications/ List of Publications in Computational Semiotics and other fields]
* [https://web.archive.org/web/20070927164911/http://www.uffmm.org/science-technology/single/themes/computer-science/personal-sites/doeben-henisch/csg/semiotic_machines.html International Computational Semiotics Group]
* [http://www.dca.fee.unicamp.br/projects/semiotics/ UNICAMP Computational Semiotics Group]

{{Computational science}}
[[Category:Semiotics]]
[[Category:Theory of computation]]
[[Category:Cognitive science]]
[[Category:Computational fields of study]]