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J-CO, A Framework for Fuzzy Querying Collections of JSON Documents (Demo)

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Flexible Query Answering Systems (FQAS 2021)

Abstract

This paper accompanies a live demo during which we will show the J-CO Framework, a novel framework to manage large collections of JSON documents stored in NoSQL databases. J-CO-QL is the query language around which the framework is built; we show how it is able to perform fuzzy queries on JSON documents.

This paper briefly introduces the framework and the cross-analysis process presented during the live demo at the conference.

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References

  1. Bordogna, G., Capelli, S., Ciriello, D.E., Psaila, G.: A cross-analysis framework for multi-source volunteered, crowdsourced, and authoritative geographic information: the case study of volunteered personal traces analysis against transport network data. Geo-spat. Inf. Sci. 21(3), 257–271 (2018)

    Article  Google Scholar 

  2. Bordogna, G., Capelli, S., Psaila, G.: A big geo data query framework to correlate open data with social network geotagged posts. In: Bregt, A., Sarjakoski, T., van Lammeren, R., Rip, F. (eds.) GIScience 2017. LNGC, pp. 185–203. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-56759-4_11

    Chapter  Google Scholar 

  3. Bordogna, G., Ciriello, D.E., Psaila, G.: A flexible framework to cross-analyze heterogeneous multi-source geo-referenced information: the J-CO-QL proposal and its implementation. In: Proceedings of the International Conference on Web Intelligence, pp. 499–508. ACM, Leipzig (2017)

    Google Scholar 

  4. Burini, F., Cortesi, N., Gotti, K., Psaila, G.: The urban nexus approach for analyzing mobility in the smart city: towards the identification of city users networking. Mob. Inf. Syst. 2018, 1–18 (2018)

    Google Scholar 

  5. Butler, H., Daly, M., Doyle, A., Gillies, S., Hagen, S., Schaub, T., et al.: The GeoJSON format. Internet Engineering Task Force (IETF) (2016)

    Google Scholar 

  6. Fosci, P., Marrara, S., Psaila, G.: Soft querying GeoJSON documents within the J-CO framework. In: 16th International Conference on Web Information Systems and Technologies (WEBIST 2020), pp. 253–265. SCITEPRESS-Science and Technology Publications, Lda (2020)

    Google Scholar 

  7. Nayak, A., Poriya, A., Poojary, D.: Type of NOSQL databases and its comparison with relational databases. Int. J. Appl. Inf. Syst. 5(4), 16–19 (2013)

    Google Scholar 

  8. Psaila, G., Fosci, P.: Toward an analyst-oriented polystore framework for processing JSON geo-data. In: IADIS International Conference Applied Computing 2018, pp. 213–222. IADIS, Budapest, Hungary (2018)

    Google Scholar 

  9. Psaila, G., Fosci, P.: J-CO: a platform-independent framework for managing geo-referenced JSON data sets. Electronics 10(5) (2021). https://doi.org/10.3390/electronics10050621, https://www.mdpi.com/2079-9292/10/5/621

  10. Psaila, G., Marrara, S.: A first step towards a fuzzy framework for analyzing collections of JSON documents. In: IADIS International Conference Applied Computing 2019, pp. 19–28. IADIS, Cagliari, Italy (2019)

    Google Scholar 

  11. Uddin, M.F., Gupta, N., et al.: Seven V’s of big data understanding big data to extract value. In: Proceedings of the 2014 Zone 1 Conference of the American Society for Engineering Education, pp. 1–5. IEEE (2014)

    Google Scholar 

  12. Zadeh, L.A.: Fuzzy sets. Inf. Control 8(3), 338–353 (1965)

    Article  Google Scholar 

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Correspondence to Giuseppe Psaila .

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Fosci, P., Psaila, G. (2021). J-CO, A Framework for Fuzzy Querying Collections of JSON Documents (Demo). In: Andreasen, T., De Tré, G., Kacprzyk, J., Legind Larsen, H., Bordogna, G., Zadrożny, S. (eds) Flexible Query Answering Systems. FQAS 2021. Lecture Notes in Computer Science(), vol 12871. Springer, Cham. https://doi.org/10.1007/978-3-030-86967-0_11

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  • DOI: https://doi.org/10.1007/978-3-030-86967-0_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-86966-3

  • Online ISBN: 978-3-030-86967-0

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