Document (#39828)

Author

Martínez-Ávila, D.

Title

Classification & authority control : expanding resource discovery

Source

Knowledge organization. 43(2016) no.1, S.56-63

Year

2016

Series

Classification research

Abstract

Bericht von dem "Fifth International UDC Seminar, entitled "Classification & Authority Control: Expanding Resource Discovery," was held in The National Library of Portugal in Lisbon on 29-30 October 2015". Darin auch: "Ulf Schöneberg and Wolfram Sperber, Leibniz-Insitut für Informationinfrastruktur, zbMATH (Germany) presented a paper entitled "Machine-Learning Methods for Classification and Content Authority Control in mathematics." This paper focused on the domain of mathematics, stating that "until now publications are the most important resource of mathematical knowledge and they are also the basis for knowledge management in mathematics." Following the introduction, the paper covers a brief historical remark of mathematics and challenges for content analysis in mathematics. Then, the authors proceeded to describe the automatic tools and practices on authority control and classification at the bibliographic database of mathematical literature zbMATH, including the development of machinebased concepts and tools to create controlled vocabularies and to improve the Mathematics Subject Classification (MSC) scheme."

Content

Vgl.: http://www.ergon-verlag.de/isko_ko/downloads/ko_43_2016_1_g.pdf.

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5. Lange, C.; Ion, P.; Dimou, A.; Bratsas, C.; Sperber, W.; Kohlhasel, M.; Antoniou, I.: Getting mathematics towards the Web of Data : the case of the Mathematics Subject Classification (2012) 0.18

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