Abstract
The wide adoption of smart mobile devices makes the concept of human as a sensor possible, opening the door to new ways of solving recurrent problems that occur in everyday life by taking advantage of the information these devices can produce. In the case of this paper, we present part of the work done in the EU project SUPERHUB and introduce how geolocated positioning coming from such devices can be used to infer the current context of the city, e.g., disruptive events, and how this information can be used to provide services to the end-users.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Boccaletti, S., Latora, V., Moreno, Y., Chavez, M.,, D.: HWANG. Complex networks: Structure and dynamics. Physics Reports 424(4-5), 175–308 (2006)
Carreras, I., Gabrielli, S., Miorandi, D., Tamilin, A., Cartolano, F., Jakob, M., Marzorati, S.: SUPERHUB: A user-centric perspective on sustainable urban mobility. In: Sense Transport 2012: Proc. of the 6th ACM Workshop on Next Generation Mobile Computing for Dynamic Personalised Travel Planning. ACM (June 2012)
Codina, V., Ricci, F., Ceccaroni, L.: Local Context Modeling with Semantic Pre-filtering. In: Proceedings of the 7th ACM Conference on Recommender Systems, pp. 363–366. ACM, New York (2013)
Cretti, S., Facca, F.: D2.1 FP7-ICT-2011-7 SUPERHUB - Report on the architecture definition Open Source strategy and adoption pattern. Technical report (March 2012)
Diaspero, C., Heinisch, A., Petrova, A.: A Mobile Recommender System for Hiking Walkways (2011)
Ellul, C., Gupta, S., Haklay, M.M., Bryson, K.: A Platform for Location Based App Development for Citizen Science and Community Mapping. In: Progress in Location-Based Services, pp. 71–90. Springer, Heidelberg (2013)
Gabrielli, L., Rinzivillo, S., Ronzano, F., Villatoro, D.: From Tweets to Semantic Trajectories: Mining Anomalous Urban Mobility Patterns. In: Nin, J., Villatoro, D. (eds.) CitiSens 2013. LNCS (LNAI), vol. 8313, pp. 26–35. Springer, Heidelberg (2014)
Garcia-Gasulla, D., Tejeda-Gómez, A., Alvarez-Napagao, S., Oliva-Felipe, L., Vázquez-Salceda, J.: Detection of events through collaborative social network data. In: Proceedings of the 6th International Workshop on Emergent Intelligence on Networked Agents (WEIN 2014) (May 2014)
Gomez, J.T., Marrè, M.S., Serra, J.P.: tweetStimuli: Discovering social structure of influence (2012)
Hickey, R.: The Clojure programming language. In: DLS 2008: Proceedings of the 2008 Symposium on Dynamic Languages. ACM (July 2008)
Knoch, S., Chapko, A., Emrich, A., Werth, D., Loos, P.: A Context-Aware Running Route Recommender Learning from User Histories Using Artificial Neural Networks. In: 2012 23rd International Workshop on Database and Expert Systems Applications (DEXA), pp. 106–110 (2012)
McGinty, L., Smyth, B.: Personalised Route Planning: A Case-Based Approach. In: Blanzieri, E., Portinale, L. (eds.) EWCBR 2000. LNCS (LNAI), vol. 1898, pp. 431–443. Springer, Heidelberg (2000)
Ricci, F.: Travel recommender systems. IEEE Intelligent Systems (2002)
Srivastava, M., Abdelzaher, T., Szymanski, B.: Human-centric sensing. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 370, 176–197 (1958, 2011)
Weng, J., Lee, B.S.: Event Detection in Twitter. In: ICWSM (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Alvarez-Napagao, S. et al. (2015). Urban Context Detection and Context-Aware Recommendation via Networks of Humans as Sensors . In: Koch, F., Meneguzzi, F., Lakkaraju, K. (eds) Agent Technology for Intelligent Mobile Services and Smart Societies. AVSA CARE 2014 2014. Communications in Computer and Information Science, vol 498. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46241-6_7
Download citation
DOI: https://doi.org/10.1007/978-3-662-46241-6_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-46240-9
Online ISBN: 978-3-662-46241-6
eBook Packages: Computer ScienceComputer Science (R0)