10 Years Later: The Mathematics Subject Classification and Linked Open Data
Susanne Arndt, Patrick Ion, Mila Runnwerth, Moritz Schubotz, Olaf, Teschke

TL;DR
This paper reviews the decade of development of machine-readable Mathematics Subject Classification data and introduces the updated MSC 2020 in Linked Open Data format, highlighting improvements and future applications.
Contribution
It presents the new MSC 2020 in SKOS format, detailing the processing, multilingual translations, and integration with other classification efforts, advancing semantic indexing.
Findings
MSC 2020 includes explicit change markings from 2010
Multilingual translations into Chinese, Italian, and Russian
Enhanced integration with other mathematical classification systems
Abstract
Ten years ago, the Mathematics Subject Classification MSC 2010 was released, and a corresponding machine-readable Linked Open Data collection was published using the Simple Knowledge Organization System (SKOS). Now, the new MSC 2020 is out. This paper recaps the last ten years of working on machine-readable MSC data and presents the new machine-readable MSC 2020. We describe the processing required to convert the version of record, as agreed by the editors of zbMATH and Mathematical Reviews, into the Linked Open Data form we call MSC2020-SKOS. The new form includes explicit marking of the changes from 2010 to 2020, some translations of English code descriptions into Chinese, Italian, and Russian, and extra material relating MSC to other mathematics classification efforts. We also outline future potential uses for MSC2020-SKOS in semantic indexing and sketch its embedding in a larger…
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Taxonomy
TopicsMathematics, Computing, and Information Processing · Semantic Web and Ontologies · Natural Language Processing Techniques
