Document (#39286)

Author

Sperber, W.
Schöneberg, U.

Title

Machine-learning methods for classification and content authority control in mathematics

Source

Classification and authority control: expanding resource discovery: proceedings of the International UDC Seminar 2015, 29-30 October 2015, Lisbon, Portugal. Eds.: Slavic, A. u. M.I. Cordeiro

Imprint

Würzburg : Ergon-Verlag

Year

2015

Pages

S.83-94

Abstract

The abstracting and reviewing service zbMATH (zbMATH, 1931- ) is the most comprehensive bibliographic database of mathematical literature. The database uses reviews, keywords and classification for content analysis of mathematical publications. Controlled vocabularies and classification schemes are important for a uniform and standardised analysis of the content and precise information retrieval. Over the last few years, the zbMATH team has started developing machine-based concepts and tools to create controlled vocabularies and to improve the Mathematics Subject Classification (MSC) scheme. Concepts of natural language processing and other machine learning methods, especially neural networks, were adapted to the specific requirements of mathematical information, e.g., named mathematical entities and mathematical formulas. The tools are used for key phrase extraction and classification of mathematical publications. Basing on the extracted key phrases, a prototype for a controlled vocabulary for mathematics was created. The tools and the state of the art are described briefly. These activities will help - in cooperation with authority control for authors, series and institutions - to automate the zbMATH workflow and improve the usefulness and information retrieval capabilities of the database.

Content

Präsentation für The International UDC Seminar entitled "Classification & Authority Control: Expanding Resource Discovery" took place in the National Library of Portugal in Lisbon, on 29-30 October 2015. Vgl.: http://www.udcds.com/seminar/2015/media/slides/Sperber_InternationalUDCSeminar2015.pdf.

Field

Mathematik

Object

Zentralblatt für Mathematik

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4. 80 years of Zentralblatt MATH : 80 footprints of distinguished mathematicians in Zentralblatt (2011) 0.26

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5. Lange, C.: Ontologies and languages for representing mathematical knowledge on the Semantic Web (2011) 0.19

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