Similarity and Classification of Mathematical Papers

SOJKA, Petr and Radim ŘEHŮŘEK. Similarity and Classification of Mathematical Papers. 2009.

Basic information

• Original name: Similarity and Classification of Mathematical Papers
• Name in Czech: Podobnost a klasifikace matematických článků
• Authors: SOJKA, Petr (203 Czech Republic, guarantor) and Radim ŘEHŮŘEK (203 Czech Republic).
• Edition: 2009.

Other information

• Original language: English
• Type of outcome: Pilot plant, certified technology, variety, breed
• Field of Study: 10201 Computer sciences, information science, bioinformatics
• Country of publisher: Czech Republic
• Confidentiality degree: is not subject to a state or trade secret
• WWW: project web page programová dokumentace ověřené technologie
• RIV identification code: RIV/00216224:14330/09:00028511
• Organization unit: Faculty of Informatics
• Keywords (in Czech): podobnost;klasifikace;SVM;MSC;kategorizace;vizualizace
• Keywords in English: similarity;classification;SVM;MSC;categorization;visualization
• Technical parameters: Robust scalable technology for similarity and classification of mathematical papers
• Tags: categorization, CLASSIFICATION, MSC, similarity, SVM, visualization
• Tags: International impact, Reviewed

Abstract

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.

Abstract (in Czech)

Robustní a škálovatelné technologie umožňující na základě plných textů článků metodami strojového učení (SVM, TFIDF, ...) naučit - top-level MSC klasifikátor - počítat sémantickou podobnost matematických článků 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.

Links

• 1ET200190513, research and development project: Name: DML-CZ: Česká digitální matematická knihovna

Investor: Academy of Sciences of the Czech Republic, DML-CZ: Czech Digital Mathematical Library