Abstract
Open data repositories are information repositories that offer data that can be accessed by anyone using a typical REST type web services API. The API allows sending GET requests to obtain the desired data and return based on the requests made, data sets in various data formats. These repositories can be both public and private. In Spain you can find a large number of public open data sources. For example, the open data source of the City of Madrid offers a large amount of data of different kinds such as traffic accidents, CO2 emissions, noise pollution, etc. In this article we propose a model for the production of value-added services that did not previously exist using open data. This model is illustrated by creating a service aimed at creating tourist visits in the city of Madrid using open data about museums, temples and monuments found in the open data source of the City of Madrid.
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References
Larson, R.R.: Introduction to information retrieval. J. Am. Soc. Inf. Sci. Technol. 61(4), 852–853 (2010)
Lee, Y.J., Kim, J.S.: Automatic web API composition for semantic data mashups. In: 2012 Fourth International Conference on Computational Intelligence and Communication Networks (CICN), pp. 953–957. IEEE (2012)
Brunswicker, S., Majchrzak, A., Almirall, E., Tee, R.: Cocreating value from open data: from incentivizing developers to inducing cocreation in open data innovation ecosystems. In: World Scientific Book Chapters, pp. 141–162 (2018)
Lehmann, J., Isele, R., Jakob, M., Jentzsch, A., Kontokostas, D., Mendes, P.N., Bizer, C.: DBpedia–a large-scale, multilingual knowledge base extracted from Wikipedia. Semantic Web 6(2), 167–195 (2015)
Gandon, F.: A survey of the first 20 years of research on semantic Web and linked data. Revue des Sciences et Technologies de l’Information-Série ISI: Ingénierie des Systèmes d’Information (2018)
Masse, M.: REST API Design Rulebook: Designing Consistent RESTful Web Service Interfaces. O’Reilly Media, Inc., Sebastopol (2011)
Gouveia, F., Lira, S.: Semantic approaches for the use of cultural data. Int. J. Comput. Methods Heritage Sci. (IJCMHS) 2(2), 75–96 (2018)
Verborgh, R., Steiner, T., Van Deursen, D., Coppens, S., Vallés, J.G., Van de Walle, R.: Functional descriptions as the bridge between hypermedia APIs and the Semantic Web. In: Proceedings of the Third International Workshop on Restful Design, pp. 33–40. ACM (2012)
Vrandečić, D.: Wikidata: a new platform for collaborative data collection. In: Proceedings of the 21st International Conference on World Wide Web, pp. 1063–1064. ACM (2012)
Sansonetti, G., Gasparetti, F., Micarelli, A., Cena, F., Gena, C.: Enhancing cultural recommendations through social and linked open data. User Modeling User-Adapted Interact. 29, 121–159 (2019)
Kovalenko, O., Mrabet, Y., Schouten, K., Sejdovic, S.: Linked data in action: personalized museum tours on mobile devices. In: ESWC Developers Workshop, pp. 14–19 (2015)
Sato, Y., Kashihara, A., Hasegawa, S., Ota, K., Takaoka, R.: Diagnosis with linked open data for question decomposition in web-based investigative learning. In: Foundations and Trends in Smart Learning, pp. 103–112. Springer, Singapore (2019)
Heath, T., Bizer, C.: Linked data: evolving the web into a global data space. Synth. Lect. Semant. Web: Theory Technol. 1(1), 1–136 (2011)
Radulovic, F., Mihindukulasooriya, N., García-Castro, R., Gómez-Pérez, A.: A comprehensive quality model for linked data. Semantic Web 9(1), 3–24 (2018)
Hernández, D., Hogan, A., Krötzsch, M.: Reifying RDF: what works well with wikidata? In: SSWS@ ISWC, vol. 1457, pp. 32–47 (2015)
Färber, M., Ell, B., Menne, C., Rettinger, A.: A comparative survey of dbpedia, freebase, opencyc, wikidata, and yago. Semantic Web J. 1, 1–5 (2015)
Bodle, R.: Regimes of sharing: open APIs, interoperability, and Facebook. Inf. Commun. Soc. 14(3), 320–337 (2011)
Shadbolt, N., Gibbins, N.: Resource description framework (RDF). In: Encyclopedia of Library and Information Sciences, pp. 4539–4547 (2010)
Acknowledgment
This work was partially funded by eLITE-CM S2015/HUM-3426, RedR+Human (TIN2014-52010-R) and CetrO+Spec (17-88092-R) projects. I would like to thank this work to Eduardo Vela Galindo.
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Cabezuelo, A.S. (2020). Exploitation of Open Data Repositories for the Creation of Value-Added Services. In: Herrera, F., Matsui , K., Rodríguez-González, S. (eds) Distributed Computing and Artificial Intelligence, 16th International Conference. DCAI 2019. Advances in Intelligent Systems and Computing, vol 1003 . Springer, Cham. https://doi.org/10.1007/978-3-030-23887-2_16
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