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Computational semiotics is an interdisciplinary field that applies, conducts, and draws on research in logic, mathematics, the theory and practice of computation, formal and naturallanguage 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.
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; metaphor identification; and image analysis. Shackell 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.
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), ISBN1-59904-063-8 (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
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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