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Exploitation of Open Data Repositories for the Creation of Value-Added Services

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Book cover Distributed Computing and Artificial Intelligence, 16th International Conference (DCAI 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1003 ))

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

  1. Larson, R.R.: Introduction to information retrieval. J. Am. Soc. Inf. Sci. Technol. 61(4), 852–853 (2010)

    Google Scholar 

  2. 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)

    Google Scholar 

  3. 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)

    Chapter  Google Scholar 

  4. 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)

    Article  Google Scholar 

  5. 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)

    Article  Google Scholar 

  6. Masse, M.: REST API Design Rulebook: Designing Consistent RESTful Web Service Interfaces. O’Reilly Media, Inc., Sebastopol (2011)

    Google Scholar 

  7. Gouveia, F., Lira, S.: Semantic approaches for the use of cultural data. Int. J. Comput. Methods Heritage Sci. (IJCMHS) 2(2), 75–96 (2018)

    Article  Google Scholar 

  8. 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)

    Google Scholar 

  9. 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)

    Google Scholar 

  10. 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)

    Article  Google Scholar 

  11. 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)

    Google Scholar 

  12. 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)

    Chapter  Google Scholar 

  13. 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)

    Google Scholar 

  14. Radulovic, F., Mihindukulasooriya, N., García-Castro, R., Gómez-Pérez, A.: A comprehensive quality model for linked data. Semantic Web 9(1), 3–24 (2018)

    Article  Google Scholar 

  15. Hernández, D., Hogan, A., Krötzsch, M.: Reifying RDF: what works well with wikidata? In: SSWS@ ISWC, vol. 1457, pp. 32–47 (2015)

    Google Scholar 

  16. 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)

    Google Scholar 

  17. Bodle, R.: Regimes of sharing: open APIs, interoperability, and Facebook. Inf. Commun. Soc. 14(3), 320–337 (2011)

    Article  Google Scholar 

  18. Shadbolt, N., Gibbins, N.: Resource description framework (RDF). In: Encyclopedia of Library and Information Sciences, pp. 4539–4547 (2010)

    Google Scholar 

Download references

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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Correspondence to Antonio Sarasa Cabezuelo .

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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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