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Information on the principal investigator and host institution

Information of the project and the call

Keywords

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Semantic comparison of quantitative datasets

2016/21/N/ST6/02358

Keywords:

semantic analysis semantic similarity data modelling quantitative datasets

Descriptors:

  • ST6_10: Web and information systems, database systems, internet technologies, including information retrieval and digital libraries
  • ST6_11: Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
  • NZ9_1: Agronomy

Panel:

ST6 - Computer science and informatics: informatics and information systems, computer science, scientific computing, intelligent systems

Host institution :

Instytut Genetyki Roślin Polskiej Akademii Nauk

woj. wielkopolskie

Other projects carried out by the institution 

Principal investigator (from the host institution):

Hanna Ćwiek-Kupczyńska 

Number of co-investigators in the project: 3

Call: PRELUDIUM 11 - announced on 2016-03-15

Amount awarded: 89 360 PLN

Project start date (Y-m-d): 2017-02-24

Project end date (Y-m-d): 2020-08-23

Project duration:: 42 months (the same as in the proposal)

Project status: Project settled

Project description

Download the project description in a pdf file

Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.

Equipment purchased [PL]

  1. Komputer służący do modelowania danych, wnioskowania semantycznego i prowadzenia obliczeń statystycznych (8 000 PLN)

Information in the final report

  • Publication in academic press/journals (2)
  • Book publications / chapters in book publications (1)
  1. Semantic concept schema of the linear mixed model of experimental observations
    Authors:
    Ćwiek-Kupczyńska, H., Filipiak, K., Markiewicz, A., Rocca-Serra, P., Gonzalez-Beltran, A. N., Sansone, S.-A., Millet, E. J., van Eeuwijk, F., Ławrynowicz, A., Krajewski, P.
    Academic press:
    Scientific Data (rok: 2020, tom: 7, strony: 70), Wydawca: Springer Nature
    Status:
    Published
    DOI:
    10.1038/s41597-020-0409-7 - link to the publication
  2. Enabling reusability of plant phenomic datasets with MIAPPE 1.1
    Authors:
    Papoutsoglou, E. A., Faria, D., Arend, D., Arnaud, E., Athanasiadis, I. N., Chaves, I., Coppens, F., Cornut, G., Costa, B. V., Ćwiek-Kupczyńska, H., Droesbeke, B., Finkers, R., Gruden, K., Junker, A., King, G. J., Krajewski, P., Lange, M., Laporte, M.-A., Michotey, C., Oppermann, M., Ostler, R., Poorter, H., Ramı́rez-Gonzalez, R., Ramšak, Ž., Reif, J. C., Rocca-Serra, P., Sansone, S.-A., Scholz, U., Tardieu, F., Uauy, C., Usadel, B., Visser, R. G. F., Weise, S., Kersey, P. J., Miguel, C. M., Adam-Blondon, A.-F., Pommier, C.
    Academic press:
    New Phytologist (rok: 2020, tom: 227, strony: 260-273), Wydawca: Wiley
    Status:
    Published
    DOI:
    10.1111/nph.16544 - link to the publication
  1. Striving for Semantics of Plant Phenotyping Data
    Authors:
    Hanna Ćwiek-Kupczyńska
    Book:
    González-Beltrán A., Osborne F., Peroni S., Vahdati S. (eds) Semantics, Analytics, Visualization. SAVE-SD 2017, SAVE-SD 2018. (rok: 2018, tom: LNCS 10959, strony: 161-169), Wydawca: Springer
    Status:
    Published

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