[[1] F. Antunes and J. Costa, Integrating decision support and social networks, Advances in Human-Computer Interaction, vol. 2012, no. 574276, 2012.]Search in Google Scholar
[[2] Smarter Cities - New cognitive approaches to long-standing challenges, http://www.ibm.com/smarterplanet/us/en/smarter_cities/overview/, accessed: 2017-02-10.]Search in Google Scholar
[[3] D. Doran, K. Severin, S. Gokhale, and A. Dagnino, Social media enabled human sensing for smart cities, AI Communications, vol. 29, no. 1, pp. 57–75, 2016.10.3233/AIC-150683]Search in Google Scholar
[[4] G. P. Hancke, G. P. Hancke Jr et al., The role of advanced sensing in smart cities, Sensors, vol. 13, no. 1, pp. 393–425, 2012.10.3390/s130100393]Search in Google Scholar
[[5] G. R. Ceballos and V. M. Larios, A model to promote citizen driven government in a smart city: Use case at gdl smart city, in 2016 IEEE International Smart Cities Conference (ISC2), pp. 1–6, 2016.10.1109/ISC2.2016.7580873]Search in Google Scholar
[[6] P. Zeile, B. Resch, L. Dörrzapf, J.-P. Exner, G. Sagl, A. Summa, and M. Sudmanns, Urban emotions–tools of integrating people perception into urban planning, in REAL CORP 2015. PLAN TOGETHER–RIGHT NOW–OVERALL. From Vision to Reality for Vibrant Cities and Regions. Proceedings of 20th International Conference on Urban Planning, Regional Development and Information Society. CORP–Competence Center of Urban and Regional Planning, pp. 905–912, 2015.]Search in Google Scholar
[[7] A. Vakali, D. Chatzakou, V. A. Koutsonikola, and G. Andreadis, Social data sentiment analysis in smart environments-extending dual polarities for crowd pulse capturing. in DATA, pp. 175–182, 2013.]Search in Google Scholar
[[8] D. Toti and M. Rinelli, On the road to speed-reading and fast learning with CONCEPTUM, in Proceedings - 2016 International Conference on Intelligent Networking and Collaborative Systems, IEEE INCoS 2016, pp. 1–6, 2016.10.1109/INCoS.2016.30]Search in Google Scholar
[[9] S. Baccianella, A. Esuli, and F. Sebastiani, Senti- WordNet 3.0: An Enhanced Lexical Resource for Sentiment Analysis and Opinion Mining, in Proceedings of the Seventh Conference on International Language Resources and Evaluation (LREC’10). Valletta, Malta: European Language Resources Association (ELRA), 2010.]Search in Google Scholar
[[10] G. D’Aniello, A. Gaeta, M. Gaeta, V. Loia, and M. Reformat, Collective awareness in Smart City with Fuzzy Cognitive Maps and Fuzzy sets, in 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2016.10.1109/FUZZ-IEEE.2016.7737875]Search in Google Scholar
[[11] R. R. Yager and M. Z. Reformat, Looking for likeminded individuals in social networks using tagging and e fuzzy sets, Fuzzy Systems, IEEE Transactions on, vol. 21, no. 4, pp. 672–687, 2013.10.1109/TFUZZ.2012.2227263]Search in Google Scholar
[[12] B. Kosko, Fuzzy cognitive maps, International journal of man-machine studies, vol. 24, no. 1, pp. 65–75, 1986.10.1016/S0020-7373(86)80040-2]Search in Google Scholar
[[13] G. D’Aniello, V. Loia, and F. Orciuoli, A multiagent fuzzy consensus model in a situation awareness framework, Applied Soft Computing, vol. 30, pp. 430 – 440, 2015.10.1016/j.asoc.2015.01.061]Search in Google Scholar
[[14] M. Olazabal and U. Pascual, Use of fuzzy cognitive maps to study urban resilience and transformation, Environmental Innovation and Societal Transitions, 2015.10.1016/j.eist.2015.06.006]Search in Google Scholar
[[15] U. Özesmi and S. L. Özesmi, Ecological models based on peoples knowledge: a multi-step fuzzy cognitive mapping approach, Ecological Modelling, vol. 176, no. 1, pp. 43–64, 2004.10.1016/j.ecolmodel.2003.10.027]Search in Google Scholar
[[16] F. Habib and A. Shokoohi, Classification and resolving urban problems by means of fuzzy approach, World Academy of Science, Engineering and Technology, vol. 36, pp. 894–901, 2009.]Search in Google Scholar
[[17] D. Toti, AQUEOS: A system for question answering over semantic data, in Proceedings - 2014 International Conference on Intelligent Networking and Collaborative Systems, IEEE INCoS 2014, pp. 716–719, 2014.10.1109/INCoS.2014.13]Search in Google Scholar
[[18] D. Milne and I. H. Witten, An open-source toolkit for mining wikipedia, Artif. Intell., vol. 194, pp. 222–239, Jan. 2013. [Online]. Available: http://dx.doi.org/10.1016/j.artint.2012.06.00710.1016/j.artint.2012.06.007]Open DOISearch in Google Scholar
[[19] N. Capuano, C. De Maio, S. Salerno, and D. Toti, A methodology based on commonsense knowledge and ontologies for the automatic classification of legal cases, in ACM International Conference Proceeding Series, 2014.10.1145/2611040.2611048]Search in Google Scholar
[[20] N. Capuano, A. Longhi, S. Salerno, and D. Toti, Ontology-driven generation of training paths in the legal domain, International Journal of Emerging Technologies in Learning, vol. 10, no. 7, pp. 14–22, 2015.10.3991/ijet.v10i7.4609]Search in Google Scholar
[[21] V. Basile and M. Nissim, Sentiment analysis on Italian tweets, in Proceedings of the 4th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis. Atlanta, Georgia: Association for Computational Linguistics, pp. 100–107, 2013. [Online]. Available: http://www.aclweb.org/anthology/W13-1614]Search in Google Scholar
[[22] R. R. Yager, On ordered weighted averaging aggregation operators in multicriteria decisionmaking, Systems, Man and Cybernetics, IEEE Transactions on, vol. 18, no. 1, pp. 183–190, 1988.10.1109/21.87068]Search in Google Scholar
[[23] T.-A. Shiau and J.-S. Liu, Developing an indicator system for local governments to evaluate transport sustainability strategies, Ecological Indicators, vol. 34, pp. 361 – 371, 2013.10.1016/j.ecolind.2013.06.001]Open DOISearch in Google Scholar