Abstract
The cultural tourism market is evolving towards a dimension of complete fulfilment of the tourist’s needs. On the one hand, it is enhancing the centrality of the cultural aspect in a 360° travel experience and on the other is paying attention to the choice of one’s journey, completed by, according to each context, all needed services. The information overload, the substantial changes of the traveller’s decisions and the enlargement of the tools of Knowledge available to each connected user are today’s main levers of change and require the use of Context-Aware Systems. In this scenario, a context-aware framework for the fruition of e-Tourism contents and services will be discussed. The proposed system is able of supporting not only tourists but also Public Institutions and professionals, through the dynamic design of core and services for tourism promotion. In order to test the proposed methodology, a prototype has been developed, obtaining promising results.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
C. K. de Viron, G. Mudri, Integrated approach to sustainable EU smart villages policies, in Smart Villages in the EU and Beyond (Emerald Publishing Limited, 2019), pp. 13–27. https://doi.org/10.1108/978-1-78769-845-120191003
F. Colace, M. De Santo, S. Lemma, M. Lombardi, A. Rossi, A. Santoriello, A. Terribile, M. Vigorito, How to describe cultural heritage resources in the web 2.0 era? in Proceedings—11th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2015, 2016. https://doi.org/10.1109/SITIS.2015.50
F. Colace, S. Lemma, M. Lombardi, F. Pascale, A context aware approach for promoting tourism events: the case of artist’s lights in Salerno, 2017. https://doi.org/10.5220/0006370007520759
A. Visvizi, M. Lytras, It’s not a fad: smart cities and smart villages research in European and global contexts. Sustainability 10(8), 2727 (2018). https://doi.org/10.3390/su10082727
A. Augello, A. Santangelo, S. Sorce, G. Pilato, A. Gentile, A. Genco, S. Gaglio, A multimodal interaction guide for pervasive services access, in 2007 IEEE International Conference on Pervasive Services, ICPS, 2007. https://doi.org/10.1109/PERSER.2007.4283923
S. Hartman, B. Wielenga, J.H. Heslinga, The future of tourism destination management: building productive coalitions of actor networks for complex destination development. J. Tour. Futur. (2020). https://doi.org/10.1108/JTF-11-2019-0123
P. Lops, M. De Gemmis, G. Semeraro, C. Musto, F. Narducci, M. Bux, A semantic content-based recommender system integrating folksonomies for personalized access. Stud. Comput. Intell. (2009). https://doi.org/10.1007/978-3-642-02794-9_2
D. Capriglione, M. Carratù, M. Ferro, A. Pietrosanto, P. Sommella, Estimating the outdoor PM10 concentration through wireless sensor network for smart metering (Springer, Cham, 2019) pp. 399–404. https://doi.org/10.1007/978-3-030-04324-7_49.
A. Visvizi, J. Jussila, M.D. Lytras, M. Ijäs, Tweeting and mining OECD-related microcontent in the post-truth era: a cloud-based app. Comput. Human Behav. 107, 105958 (2020). https://doi.org/10.1016/j.chb.2019.03.022
J. Zhuang, T. Mei, S. C. H. Hoi, Y. Q. Xu, S. Li, When recommendation meets mobile: Contextual and personalized recommendation on the go, in UbiComp’11—Proceedings of the 2011 ACM Conference on Ubiquitous Computing, 2011. https://doi.org/10.1145/2030112.2030134
A.K. Dey, Understanding and using context. Pers. Ubiquitous Comput. (2001). https://doi.org/10.1007/s007790170019
M. Raento, A. Oulasvirta, R. Petit, H. Toivonen, ContextPhone: a prototyping platform for context-aware mobile applications. IEEE Pervasive Comput. (2005). https://doi.org/10.1109/MPRV.2005.29
F. Colace, M. Lombardi, F. Pascale, D. Santaniello, A. Tucker, P. Villani, MuG : a multilevel graph representation for big data interpretation, in IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems, 2018, pp. 1410–1415. https://doi.org/10.1109/HPCC/SmartCity/DSS.2018.00233
J. Jin, J. Gubbi, S. Marusic, M. Palaniswami, An information framework for creating a smart city through internet of things. IEEE Internet Things J. (2014). https://doi.org/10.1109/JIOT.2013.2296516
F. Colace, M. De Santo, M. Lombardi, F. Pascale, D. Santaniello, A. Tucker, A multilevel graph approach for predicting bicycle usage in London area, in Fourth International Congress on Information and Communication Technology. Advances in Intelligent Systems and Computing, vol. 1027, ed. by X.S. Yang, S. Sherratt, N. Dey, A. Joshi (Springer, Singapore, 2020), pp. 353–362. https://doi.org/10.1007/978-981-32-9343-4_28
A. Dix, T. Rodden, N. Davies, J. Trevor, A. Friday, K. Palfreyman, Exploiting space and location as a design framework for interactive mobile systems. ACM Trans. Comput. Interact. (2000). https://doi.org/10.1145/355324.355325
F. Colace, M. De Santo, M. Lombardi, R. Mosca, D. Santaniello, A multilayer approach for recommending contextual learning paths. J. Internet Serv. Inf. Secur. 2, 91–102 (2020). https://doi.org/10.22667/JISIS.2020.05.31.091
J. Fink, A. Kobsa, User modeling for personalized city tours. Artif. Intell. Rev. (2002). https://doi.org/10.1023/A:1016383418977
L. Ardissono, A. Goy, G. Petrone, M. Segnan, P. Torasso, Intrigue: personalized recommendation of tourist attractions for desktop and hand held devices. Appl. Artif. Intell. (2003). https://doi.org/10.1080/713827254
Q. Yang, A novel recommendation system based on semantics and context awareness. Computing (2018). https://doi.org/10.1007/s00607-018-0627-4
J. Budzik, K.J. Hammond, User interactions with everyday applications as context for just-in-time information access, in International Conference on Intelligent User Interfaces, Proceedings IUI, 2000. https://doi.org/10.1145/325737.325776
G. Ghiani, F. Paternò, C. Santoro, L.D. Spano, UbiCicero: a location-aware, multi-device museum guide. Interact. Comput. (2009). https://doi.org/10.1016/j.intcom.2009.06.001
D. Gavalas, M. Kenteris, A web-based pervasive recommendation system for mobile tourist guides. Pers. Ubiquitous Comput. 15(7), 759–770 (2011). https://doi.org/10.1007/s00779-011-0389-x
M. Casillo, F. Clarizia, F. Colace, M. Lombardi, F. Pascale, D. Santaniello, An approach for recommending contextualized services in e-Tourism. Information 10(5), 180 (2019). https://doi.org/10.3390/info10050180
F. Colace, M. De Santo, M. Lombardi, D. Santaniello, CHARS: a cultural heritage adaptive recommender system, in Proceedings of the 1st ACM International Workshop on Technology Enablers and Innovative Applications for Smart Cities and Communities—TESCA’19, 2019, pp. 58–61. https://doi.org/10.1145/3364544.3364830
V. Cassani, S. Gianelli, M. Matera, R. Medana, E. Quintarelli, L. Tanca, V. Zaccaria, On the role of context in the design of mobile mashups, in Communications in Computer and Information Science, 2017. https://doi.org/10.1007/978-3-319-53174-8_7
S. Heo, S. Woo, J. Im, D. Kim, IoT-MAP: IoT mashup application platform for the flexible IoT ecosystem, in 2015 5th International Conference on the Internet of Things (IOT), 2015, pp. 163–170. https://doi.org/10.1109/IOT.2015.7356561
G. D’Aniello, M. Gaeta, V. Loia, F. Orciuoli, S. Tomasiello, A dialogue-based approach enhanced with situation awareness and reinforcement learning for ubiquitous access to linked data, in 2014 International Conference on Intelligent Networking and Collaborative Systems, 2014, pp. 249–256. https://doi.org/10.1109/INCoS.2014.73
S. Tomasiello, M. Gaeta, V. Loia, Quasi–consensus in second–order multi–agent systems with sampled data through fuzzy transform. J. Uncertain Syst. 2016
F. Amato, A. Mazzeo, A. Penta, A. Picariello, Knowledge representation and management for E-government documents, in E-Government ICT Professionalism and Competences Service Science (Springer, Boston, MA, US) pp. 31–40. https://doi.org/10.1007/978-0-387-09712-1_4
C. Bolchini, C.A. Curino, E. Quintarelli, F.A. Schreiber, L. Tanca, Context information for knowledge reshaping. Int. J. Web Eng. Technol. (2009). https://doi.org/10.1504/IJWET.2009.025015
F. Colace, M. Lombardi, F. Pascale, D. Santaniello, A multilevel graph representation for big data interpretation in real scenarios, in Proceedings—2018 3rd International Conference on System Reliability and Safety, ICSRS 2018, 2019. https://doi.org/10.1109/ICSRS.2018.8688834
F. Pittarello, A simple story: using an agents’ based context-aware architecture for storytelling (Springer, Berlin, 2006), pp. 25–36. https://doi.org/10.1007/11944577_3
M. Casillo, F. Clarizia, G. D’Aniello, M. De Santo, M. Lombardi, D. Santaniello, CHAT-Bot: a cultural heritage aware teller-bot for supporting touristic experiences. Pattern Recognit. Lett. (2020). https://doi.org/10.1016/j.patrec.2020.01.003
Y. Ioannidis, K. El Raheb, E. Toli, A. Katifori, M. Boile, M. Mazura, One object many stories: introducing ICT in museums and collections through digital storytelling, in Proceedings of the DigitalHeritage 2013—Federating the 19th Int’l VSMM, 10th Eurographics GCH, and 2nd UNESCO Memory of the World Conferences, Plus Special Sessions fromCAA, Arqueologica 2.0 et al. 2013. https://doi.org/10.1109/DigitalHeritage.2013.6743772
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Clarizia, F., Colace, F., De Santo, M., Lombardi, M., Santaniello, D. (2021). Salerno Telling: An Approach for Cultural Heritage Enhancing. In: Visvizi, A., Lytras, M.D., Aljohani, N.R. (eds) Research and Innovation Forum 2020. RIIFORUM 2020. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-030-62066-0_9
Download citation
DOI: https://doi.org/10.1007/978-3-030-62066-0_9
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-62065-3
Online ISBN: 978-3-030-62066-0
eBook Packages: EducationEducation (R0)