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Similarity and Classification of Mathematical Papers

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F09%3A00028511" target="_blank" >RIV/00216224:14330/09:00028511 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Similarity and Classification of Mathematical Papers

  • Original language description

    Robust and scalable technology that allows, based on the full texts of mathematical papers, by machine learning methods (SVM, TFIDF, ...) to learn - top-level MSC classifier - to compute semantic similarity of mathematical papers in a digital library Reference: [1] Řehůřek, Radim - Sojka, Petr. Automated Classification and Categorization of Mathematical Knowledge. In Intelligent Computer Mathematics: AISC/Calculemus/MKM LNAI 5144. Berlin, Heidelberg, New York : Springer-Verlag, 2008. od s. 543-557, 15 s. ISBN 978-3-540--85109-7. [2] Sojka, Petr - Řehůřek, Radim. Classification of Multilingual Mathematical Papers in DML-CZ. In Proceedings of First Workshop of Recent Advances in Slavonic Natural Language Processing RASLAN 2007. první. Brno: Masarykova univerzita, 2007. od s. 89-96, 8 s. ISBN 978-80-210-4471-5.

  • Czech name

  • Czech description

Classification

  • Type

    Z<sub>tech</sub> - Verified technology

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/1ET200190513" target="_blank" >1ET200190513: DML-CZ: Czech Digital Mathematical Library</a><br>

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2009

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Internal product ID

    DML-CZ MSimClass 2009/3

  • Numerical identification

  • Technical parameters

    Robust scalable technology for similarity and classification of mathematical papers

  • Economical parameters

    Used in DML-CZ and NUMDAM

  • Application category by cost

  • Owner IČO

    00216224

  • Owner name

    Masaryk University

  • Owner country

    CZ - CZECH REPUBLIC

  • Usage type

    P - Využití výsledku jiným subjektem je v některých případech možné bez nabytí licence

  • Licence fee requirement

    N - Poskytovatel licence na výsledek nepožaduje licenční poplatek

  • Web page