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Advanced Methods to Extract Value from Scientific Datasets

  • Lucian Perju
  • Marius-Dorian Nicolaescu
  • Florin PopEmail author
  • Ciprian Dobre
  • Sanda Maiduc
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 1080)

Abstract

In these days the scientific community is times bigger comparing with the previous centuries. The need of powerful tools to aggregate and analyse the information about articles, books and other publications becomes greater with each published paper. In this paper we describe a solution for understanding and leveraging this data. The platform integrates the following requirements: data aggregation, data analysis (visualizations, dashboards, graphs), complex and simple searches, and support for data export. The platform brings value to its users due to various reasons such as quick identification of relevant data and in depth analysis on the provided input. Another key feature is the granularity, application being easily configurable for rigorous use cases: just one author, a group of authors or an entire scientific field.

Keywords

Data analysis Data aggregation Data retrival Big Data Elastic Search Containerization 

References

  1. 1.
    Boschi, S., Santomaggio, G.: RabbitMQ Cookbook. Packt Publishing Ltd., Birmingham (2013)Google Scholar
  2. 2.
    Cahan, D.: Institutions and Communities. University of Chicago Press, Chicago (2003)Google Scholar
  3. 3.
    Custura, A.M., Bajenaru, L., Pop, F.: An automatic method for the analysis of scientific literature collection. Stud. Inform. Control 27(4), 423–430 (2018)CrossRefGoogle Scholar
  4. 4.
    Gormley, C., Tong, Z.: Elasticsearch: The Definitive Guide: A Distributed Real-time Search and Analytics Engine. O’Reilly Media, Inc., Sebastopol (2015)Google Scholar
  5. 5.
    Gupta, Y.: Kibana Essentials. Packt Publishing Ltd., Birmingham (2015)Google Scholar
  6. 6.
    Ifrim, C., Iuga, I., Pop, F., Wallace, M., Poulopoulos, V.: Data reduction techniques applied on automatic identification system data. In: Szymański, J., Velegrakis, Y. (eds.) IKC 2017. LNCS, vol. 10546, pp. 14–19. Springer, Cham (2018).  https://doi.org/10.1007/978-3-319-74497-1_2CrossRefGoogle Scholar
  7. 7.
    Ifrim, C., Pop, F., Mocanu, M., Cristea, V.: AgileDBLP: a search-based mobile application for structured digital libraries. In: Cardoso, J., Guerra, F., Houben, G.-J., Pinto, A.M., Velegrakis, Y. (eds.) KEYSTONE 2015. LNCS, vol. 9398, pp. 88–93. Springer, Cham (2015).  https://doi.org/10.1007/978-3-319-27932-9_8CrossRefGoogle Scholar
  8. 8.
    Kornfeld, W.A., Hewitt, C.E.: The scientific community metaphor. IEEE Trans. Syst. Man Cybern. 11(1), 24–33 (1981)CrossRefGoogle Scholar
  9. 9.
    Koulouri, X., Ifrim, C., Wallace, M., Pop, F.: Making sense of citations. In: Calì, A., Gorgan, D., Ugarte, M. (eds.) KEYSTONE 2016. LNCS, vol. 10151, pp. 139–149. Springer, Cham (2017).  https://doi.org/10.1007/978-3-319-53640-8_12CrossRefGoogle Scholar
  10. 10.
    Sanders, G.L., Shin, S.: Denormalization effects on performance of RDBMS. In: Proceedings of the 34th Annual Hawaii International Conference on System Sciences, p. 9. IEEE (2001)Google Scholar
  11. 11.
    Serbanescu, V., Pop, F., Cristea, V., Antoniu, G.: A formal method for rule analysis and validation in distributed data aggregation service. World Wide Web 18(6), 1717–1736 (2015)CrossRefGoogle Scholar
  12. 12.
    Talaş, A., Pop, F., Neagu, G.: Elastic stack in action for smart cities: making sense of big data. In: 2017 13th IEEE International Conference on Intelligent Computer Communication and Processing (ICCP), pp. 469–476. IEEE (2017)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Lucian Perju
    • 1
  • Marius-Dorian Nicolaescu
    • 1
    • 2
  • Florin Pop
    • 1
    • 3
    Email author
  • Ciprian Dobre
    • 1
    • 3
  • Sanda Maiduc
    • 1
  1. 1.University Politehnica of BucharestBucharestRomania
  2. 2.Executive Unit for Financing Higher Education, Research, Development and Innovation (UEFISCDI)BucharestRomania
  3. 3.National Institute for Research and Development in Informatics (ICI) BucharestBucharestRomania

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