Abstract
When dealing with problems that arise from collective sharing of resources in metropolitan areas (i.e., energy, pollution, traffic, health) most of the interaction between citizens and local governance is usually carried out through the use of natural languages. Digital technologies allows smart cities residents to communicate with a broad range of experts (e.g. bureaucrats, legislators, urbanists, etc.) that routinely use technical terminology seldom accessible to the layperson, or linguistic styles that are not immediately understandable. Although information technology should encourage citizen participation in governance at many levels, the different levels of knowledge possessed by the actors can lead to incomprehension, as well as social exclusion. Computational Intelligence approaches can be used in order to alleviate such difficulties and improve the efficiency of communication through automation and collective cognitive systems. In this paper we discuss how use of techniques such as CWW and Fuzzy Classifiers can be beneficial toward the reduction of the communication gap between citizens and government.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Altunkaynak, A., Özger, M., Çakmakci, M.: Water consumption prediction of Istanbul city by using fuzzy logic approach. Water Resour. Manage. 19(5), 641–654 (2005)
Ammar, S., Duncombe, W., Hou, Y., Wright, R.: Evaluating city financial management using fuzzy rule–based systems. Public Budgeting Finance 21(4), 70–90 (2001)
Becker, H.: Computing with words and machine learning in medical diagnostics. Inf. Sci. 134(1–4), 53–69 (2001)
Buche, A., Chandak, M.B., Zadgaonkar, A.: Opinion mining and analysis: a survey. Int. J. Nat. Lan. Comput. 2(3), 39–48 (2013)
Chen, B., Cheng, H.H.: A review of the applications of agent technology in traffic and transportation systems. IEEE Trans. Intell. Transp. Syst. 11(2), 485–497 (2010)
Chomsky, N.: Three models for the description of language. IRE Trans. Inf. Theory 2(3), 113–124 (1956)
Chomsky, N.: On certain formal properties of grammars. Inf. Control 2(2), 137–167 (1959)
Chomsky, N.: Syntactic Structures. Walter de Gruyter, Berlin (2002)
Consumer Health Vocabulary Initiative: Open Access Collaboratory Consumer Health Vocabulary http://consumerhealthvocab.org. Accessed 10 Nov 2015
Cosido, O., Loucera, C., Iglesias, A.: Automatic calculation of bicycle routes by combining meta-heuristics and GIS techniques within the framework of smart cities. In: 2013 International Conference on New Concepts in Smart Cities: Fostering Public and Private Alliances (SmartMILE), Gijon, 11–13 Dec 2013
D’Aleo, F., D’Asaro, F.A., Perticone, V., Rizzo, G., Tabacchi, M.E.: Agents displacement in arbitrary geometrical spaces: an evolutionary computation based approach. In: Loiseau, S., Filipe, J., Duval, B., Van den Herik, J. (eds) Proceedings of the International Conference on Agents and Artificial Intelligence, Lisbon, 10–12 Jan 2015
D’Aleo, F., Perticone, V., Rizzo, G., Tabacchi, M.E.: Can you feel it will you tell me. Encouraging sentiment expression on the web. In: Airenti, G., Bara, B.G., Sandini, G. (eds) Proceedings of the EuroAsianPacific Joint Conference on Cognitive Science, Turin, 25–27 Sept 2015
D’Asaro, F.A., Perticone, V., Tabacchi, M.E.: A fuzzy methodology to alleviate information overload in eLearning. In: Pasi, G., Montero, J., Ciucci, D. (eds) Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13), Milan, 11–13 Sept 2013
Dragoni, M., Tettamanzi, A.G., Da Costa Pereira, C.: A fuzzy system for concept-level sentiment analysis. In: Presutti, V. et al (eds) Semantic Web Evaluation Challenge, Anissaras, 25–29 May 2014
Dzogang, F., Lesot, M.J., Rifqi, M., Bouchon-Meunier, B.: Expressions of graduality for sentiments analysis—a survey. In: 2010 IEEE International Conference on Fuzzy Systems (FUZZ), Barcelona, 18–23 July 2010
Ekman, P.: Facial expressions. In: Dalgleish, T., Power, M.J. (eds) Handbook of Cognition and Emotion, John Wiley & Sons Ltd, Chichester (1999)
Ekman, P., Friesen, W.V.: Constants across cultures in the face and emotion. J. Pers. Soc. Psychol. 17(2), 124–129 (1971)
Formica, A.: Concept similarity in fuzzy formal concept analysis for semantic web. Int. J. Uncertainty Fuzziness Knowl. Based Syst. 18(02), 153–167 (2010)
Google: Google Prediction API. https://cloud.google.com/prediction/. Accessed 10 Nov 2015
Hatt, M., Lamare, F., Boussion, N., et al.: Fuzzy hidden Markov chains segmentation for volume determination and quantitation in PET. Phys. Med. Biol. 52(12), 3467–3491 (2007)
Herrera, F., Alonso, S., Chiclana, F., Herrera-Viedma, E.: Computing with words in decision making: foundations, trends and prospects. Fuzzy Optim. Decis. Making 8(4), 337–364 (2009)
Juan, Y.K., Wang, L., Wang, J., Leckie, J.O., Li, K.M.: A decision-support system for smarter city planning and management. IBM J. Res. Dev. 55(1.2), 3–1 (2011)
Kaltenrieder, P., Portmann, E., D’Onofrio, S.: Enhancing multidirectional communication for cognitive cities. In: 2nd International Conference on eDemocracy & eGovernment, pp. 38–43. IEEE, Quito (2015). doi:10.1109/ICEDEG.2015.7114476
Kaltenrieder, P., Portmann, E., Binggeli, N.K., Myrach, T.: A conceptual model to combine creativity techniques with fuzzy cognitive maps for enhanced knowledge management. In: Fathi, M. (ed.) Integrated Systems: Innovations and Applications, pp. 131–146,. Springer (2015). doi:10.1007/978-3-319-15898-3_8
Keselman, A., Slaughter, L., Arnott-Smith, C., et al.: Towards consumer-friendly PHRs: patients’ experience with reviewing their health records. In: AMIA Annual Symposium Proceedings, Chicago, 10–14 November 2007
Keselman, A., Smith, C.A., Divita, G., et al.: Consumer health concepts that do not map to the UMLS: where do they fit? J. Am. Med. Inform. Assoc. 15(4), 496–505 (2008)
Lee, S.J., Back, A.L., Block, S.D.: Stewart SK (2002) Enhancing physician-patient communication. ASH Education Program Book 1, 464–483 (2002)
Liu, B.: Sentiment analysis and subjectivity. In: Indurkhya, N., Damerau, F.J. (eds.) Handbook of Natural Language Processing, 2nd edn, pp. 627–666. Chapman & Hall/CRC, London (2010)
Martínez, L., Ruan, D., Herrera, F.: Computing with words in decision support systems: an overview on models and applications. Int. J. Comput. Intell. Syst. 3(4), 382–395 (2010)
Nha, V.T.N., Djahel, S., Murphy, J.: A comparative study of vehicles’ routing algorithms for route planning in smart cities. In: 2012 First International Workshop on Vehicular Traffic Management for Smart Cities, Dublin, 20 Nov 2012
Patel, I., Rao, Y.S.: Technologies automated speech recognition approach to finger spelling. In: 2010 International Conference on Computing Communication and Networking Technologies (ICCCNT), 1–6 July 2012
Parrott, W.G.: Emotions in social psychology: essential readings. Psychology Press, New York (2001)
Parry, D.: Evaluation of a fuzzy ontology-based medical information system. Int. J. Healthc. Inf. Syst. Inf. 1(1), 40–51 (2006)
Perticone, V., D’Aleo, F., Rizzo, G., Tabacchi, M.E.: Towards a fuzzy-linguistic based social network sentiment-expression system. In: Alonso, J., Bustince, H., Reformat, M. (eds) Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology, Gijon, 30 June–3 July 2015
Plain Language Action and Information Network: Federal Plain Language Guidelines. http://www.plainlanguage.gov/howto/guidelines/FederalPLGuidelines/FederalPLGuidelines.pdf. Accessed 10 Nov 2015 (2011)
Portmann, E., Kaltenrieder, P., Zurlinden, N.M.: Applying fuzzy ontologies to implement the social semantic web. ACM SIGWEB Newsl. ACM 10(1145/2682914), 2682918 (2014)
Seising, R., Tabacchi, M.E.: A very brief history of soft computing. In: Pedrycz, W., Reformat, M.Z. (eds) Proceedings of the 2013 Joint IFSA World Congress, NAFIPS Annual Meeting (IFSA/NAFIPS), Edmonton, 24–28 June 2013
Trillas, E., Termini, S., Tabacchi, M.E., Seising, R.: Fuzziness, cognition and cybernetics: an outlook on future. In: Alonso, J., Bustince, H., Reformat, M. (eds) Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology, Gijon, 30 June–3 July 2015
Truong, H.B., Nguyen, N.T., Nguyen, P.K.: Fuzzy ontology building and integration for fuzzy inference systems in weather forecast domain. Intelligent Information and Database Systems, pp. 517–527. Springer, Berlin Heidelberg (2011)
Turing, A.M.: On computable numbers, with an application to the Entscheidungsproblem. J. Math. 42(1), 230–265 (1936)
Unified Medical Language System: U.S. National Library of Medicine Bethesda. https://www.nlm.nih.gov/research/umls/. Accessed 10 Nov 2015
Villacorta, P., Verdegay, J., Pelta, D.: Towards fuzzy linguistic Markov chains. In: Pasi, G., Montero, J., Ciucci, D. (eds) Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13), Milan, 11–13 Sept 2013
Wikimedia Foundation: Wikipedia:Simple English Wikipedia. https://simple.wikipedia.org/wiki/Wikipedia:Simple_English_Wikipedia (2011). Accessed 10 Nov 2015
Winter, J.A.: Doctor, can we talk? Physician-patient communication issues that could jeopardize patient trust in the physician. S. D. J. Med. 53(7), 273–276 (2000)
Yadav, J., Kharat, V., Deshpande, A.: Fuzzy description of air quality using fuzzy inference system with degree of match via computing with words: a case study. Air Qual. Atmos. Health 7(3), 325–334 (2014)
Zadeh, L.A.: Fuzzy logic = computing with words. IEEE Trans. Fuzzy Syst. 4(2), 103–111 (1996)
Zadeh, L.A.: Applied soft computing–foreword. Appl. Soft Comput. 1(1), 1–2 (2001)
Zielstorff, R.D.: Controlled vocabularies for consumer health. J. Biomed. Inform. 36(4), 326–333 (2003)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Perticone, V., Tabacchi, M.E. (2016). Towards the Improvement of Citizen Communication Through Computational Intelligence. In: Portmann, E., Finger, M. (eds) Towards Cognitive Cities. Studies in Systems, Decision and Control, vol 63. Springer, Cham. https://doi.org/10.1007/978-3-319-33798-2_5
Download citation
DOI: https://doi.org/10.1007/978-3-319-33798-2_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-33797-5
Online ISBN: 978-3-319-33798-2
eBook Packages: EngineeringEngineering (R0)