Open Tourist Information System: a platform for touristic information management and outreach

Information Technology & Tourism - Tập 21 - Trang 577-593 - 2019
Pedro Lopes1, Luís Almeida1, João Pinto1, Justino de Jesus1, Didiana Fernandes1, Isabel Vieira1, Ricardo Gama1
1School of Technology and Management of Lamego, Polytechnic Institute of Viseu, Lamego, Portugal

Tóm tắt

In this paper, we present a generic, open source, touristic information system. The main objective of this platform is to promote the development of third-party applications based on a previously structured data and validated centralized common source of open information. The proposed system comprises an information management module and an extended set of web services enabling efficient information management as well as its use by third-parties such as web and mobile applications. It was designed with a modular functional architecture with the aim of being easy to implement and adapt in practical environments, as well as being user-friendly and having capability to grow. The entire system structure is discussed in detail. We test the use of the information system in a practical scenario, implementing it for the Douro World Heritage Region, Portugal. The web services developed are profiled in this real word setting through a wide set of performance tests. The results show that the end-to-end execution times of the web services functions make them suitable for standard tourism applications. These results establish concrete performance benchmarks for future applications.

Tài liệu tham khảo

Ali A, Sirilertworakul N, Zipf A, Mobasheri A (2016) Guided classification system for conceptual overlapping classes in OpenStreetMap. ISPRS Int J Geo-Inf 5(6):87 APACHE (n.d.) https://httpd.apache.org/. Retrieved 14 March 2019 Arenas AE, Goh JM, Urueña A (2019) How does IT affect design centricity approaches: evidence from Spain’s smart tourism ecosystem. Int J Inf Manag 45:149–162 AWS (n.d.) https://aws.amazon.com/. Retrieved 14 March 2019 Bermbach D, Wittern E (2016) Benchmarking web API quality. Int Conf Web Eng 2722:277–284 Borràs J, Moreno A, Valls A (2014) Intelligent tourism recommender systems: a survey. Expert Syst Appl 41(16):7370–7389 Chen TH, Shang W, Jiang ZM, Hassan AE, Nasser M, Flora P (2016) Finding and evaluating the performance impact of redundant data access for applications that are developed using object-relational mapping frameworks. IEEE Trans Softw Eng 42(12):1148–1161 Cipeluch B, Jacob R, Winstanley A, Mooney P, Ciepluch B, Jacob R, Mooney P (2010) Comparison of the accuracy of OpenStreetMap for Ireland with Google Maps and Bing Maps. In: Ninth international symposium on spatial accuracy assessment in natural resources and environmental sciences Douro Alliance (n.d.) http://www.douroalliance.org. Retrieved 14 March 2019 Douro Valley (n.d.) http://www.dourovalley.eu/. Retrieved 14 March 2019 Flask (n.d.) http://flask.pocoo.org/. Retrieved 14 March 2019 Fogli A, Sansonetti G (2019) Exploiting semantics for context-aware itinerary recommendation. Pers Ubiquit Comput. https://doi.org/10.1007/s00779-018-01189-7 Gavalas D, Konstantopoulos C, Mastakas K, Pantziou G (2014) A survey on algorithmic approaches for solving tourist trip design problems. J Heuristics 20(3):291–328 Gavalas D, Kasapakis V, Konstantopoulos C, Pantziou G, Vathis N, Zaroliagis C (2015) The eCOMPASS multimodal tourist tour planner. Expert Syst Appl 42(21):7303–7316 Gavalas D, Kasapakis V, Konstantopoulos C, Pantziou G, Vathis N (2017) Scenic route planning for tourists. Pers Ubiquit Comput 21(1):137–155 Girres JF, Touya G (2010) Quality assessment of the French OpenStreetMap dataset. Trans GIS 14(4):435–459 Goodchild M (2009) NeoGeography and the nature of geographic expertise. J Locat Based Serv 3(2):82–96 Haklay M (2010) How good is volunteered geographical information? A comparative study of OpenStreetMap and ordnance survey datasets. Environ Plan B Plan Design 37(4):682–703 Jovicic DZ (2017) Current issues in tourism from the traditional understanding of tourism destination to the smart tourism destination, 3500 Karnwal T, Sivakumar T, Aghila G (2012) A comber approach to protect cloud computing against XML DDoS and HTTP DDoS attack. In: 2012 IEEE students’ conference on electrical, electronics and computer science, pp 1–5 Li Y, Hu C, Huang C, Duan L (2017) The concept of smart tourism in the context of tourism information services. Tour Manag 58:293–300 Lim KH, Chan J, Leckie C, Karunasekera S (2018) Personalized trip recommendation for tourists based on user interests, points of interest visit durations and visit recency. Knowl Inf Syst 54(2):375–406 Longhi C, Titz J-B, Viallis L (2014) Open data: challenges and opportunities for the tourism industry. In: Tourism management, marketing, and development. Palgrave Macmillan, New York, pp 57–76 Lopes P, Pereira F (2017) Proposal for a federation of hybrid clouds infrastructure in higher education institutions. In: Rocha Á, Correia AM, Adeli H, Reis LP, Costanzo S (eds) Advances in intelligent systems and computing, vol 570. Springer International Publishing, Cham, pp 197–206 Luxen D, Vetter C (2011) Real-time routing with OpenStreetMap data. In: Proceedings of the 19th ACM SIGSPATIAL international conference on advances in geographic information systems. ACM, New York, pp 513–516 Mooney P, Corcoran P (2014) Analysis of interaction and co-editing patterns amongst OpenStreetMap contributors. Trans GIS 18(5):633–659 Open Source Routing Machine (n.d.) https://www.openstreetmap.org/. Retrieved 14 March 2019 Pereira RL, Sousa PC, Barata R, Oliveira A, Monsieur G (2015) CitySDK Tourism API—building value around open data. J Internet Serv Appl 6(1):1–13 Rajapaksha P, Farahbakhsh R, Nathanail E, Crespi N (2017) iTrip, a framework to enhance urban mobility by leveraging various data sources. Transp Res Procedia 24:113–122 Rebelo J, Caldas J, Guedes A (2015) The Douro Region: wine and Tourism. Almatourism J Tour Cult Territ Dev 6(11):75–90 Ribeiro FR, Silva A, Barbosa F, Silva AP, Metrôlho JC (2018) Mobile applications for accessible tourism: overview, challenges and a proposed platform. Inf Technol Tour 19(1–4):29–59 Richards R (2006) Representational state transfer (REST). In: Pro PHP XML and web services, pp 633–672 Silva CA, Toasa R, Guevara J, Martinez HD, Vargas J (2018) Mobile application to encourage local tourism with context-aware computing. Springer, Cham, pp 796–803 SQLAlchemy (n.d.) https://www.sqlalchemy.org/. Retrieved 14 March 2019 Thiengburanathum P, Cang S, Yu H (2016) Overview of personalized travel recommendation systems. In: 2016 22nd International conference on automation and computing, ICAC 2016: tackling the new challenges in automation and computing, pp 415–422 Vansteenwegen P, Souffriau W, Vanden Berghe G, Van Oudheusden D (2009) Iterated local search for the team orienteering problem with time windows. Comput Oper Res 36(12):3281–3290 Vansteenwegen P, Souffriau W, Van den Berghe G, Van Oudheusden D (2011) The city trip planner: an expert system for tourists. Expert Syst Appl 38(6):6540–6546 Wang HD, Li L (2010) Research of process concealment based on technology of intercepting API calls. In: 2010 3rd International conference on computer science and information technology, vol 7, pp 412–414 Wang M, Li Q, Hu Q, Zhou M (2013) Quality analysis of open street map data. In: 8th International symposium on spatial data quality, vol 40, pp 155–158 Yan C, Cheung A, Yang J, Lu S (2017) Understanding database performance inefficiencies in real-world web applications. In: Proceedings of the 2017 ACM on conference on information and knowledge management-CIKM’17, pp 1299–1308 Yang J, Subramaniam P, Lu S, Yan C, Cheung A (2018) How not to structure your database-backed web applications: a study of performance bugs in the wild. In: ICSE, pp 1–11 Zielstra D, Zipf A (2010) Quantitative studies on the data quality of OpenStreetMap in Germany. In: Proceedings of GIScience