Abstract
The Mathematics Subject Classification (MSC) is a widely used scheme for classifying documents in mathematics by subject. Its traditional, idiosyncratic conceptualization and representation makes the scheme hard to maintain and requires custom implementations of search, query and annotation support. This limits uptake e.g. in semantic web technologies in general and the creation and exploration of connections between mathematics and related domains (e.g. science) in particular.
This paper presents the new official implementation of the MSC2010 as a Linked Open Dataset, building on SKOS (Simple Knowledge Organization System). We provide a brief overview of the dataset’s structure, its available implementations, and first applications.
First author supported by DFG project I1-[OntoSpace] of SFB/TR 8 “Spatial Cognition” and EPSRC grant “EP/J007498/1 – Formal representation and proof for cooperative games”; second author by the University of Michigan.
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References
ARQ – A SPARQL Processor for Jena, http://jena.sourceforge.net/ARQ/ (visited on April 23, 2012)
DBpedia, http://dbpedia.org (visited on January 23, 2010)
Heath, T., Bizer, C.: Linked Data: Evolving the Web into a Global Data Space, 1st edn. Synthesis Lectures on the Semantic Web: Theory and Technology. Morgan & Claypool, San Rafael (2011), http://linkeddatabook.com
Kohlhase, M., et al.: The Planetary System: Web 3.0 & Active Documents for STEM. Procedia Computer Science 4, 598–607 (2011); Sato, M., et al. (eds.) Special issue: Proceedings of the International Conference on Computational Science (ICCS). Finalist at the Executable Papers Challenge, https://svn.mathweb.org/repos/planetary/doc/epc11/paper.pdf , doi:10.1016/j.procs.2011.04.063
Lange, C.: Krextor - An Extensible Framework for Contributing Content Math to the Web of Data. In: Davenport, J.H., Farmer, W.M., Urban, J., Rabe, F. (eds.) MKM 2011 and Calculemus 2011. LNCS(LNAI), vol. 6824, pp. 304–306. Springer, Heidelberg (2011) ISBN: 978-3-642-22672-4, http://kwarc.info/clange/pubs/krextor-system.pdf
Lange, C., Ion, P., Dimou, A., Bratsas, C., Sperber, W., Kohlhase, M., Antoniou, I.: Bringing Mathematics to the Web of Data: The Case of the Mathematics Subject Classification. In: Simperl, E. (ed.) ESWC 2012. LNCS, vol. 7295, pp. 763–777. Springer, Heidelberg (2012), http://kwarc.info/clange/pubs/eswc2012-mscskos
Mathematics Subject Classification MSC 2010 (2010), http://msc2010.org (visited on November 16, 2011)
Miles, A., Bechhofer, S.: SKOS Simple Knowledge Organization System Reference. W3C Recommendation. World Wide Web Consortium (W3C) (August 18, 2009), http://www.w3.org/TR/2009/REC-skos-reference-20090818/
Panzer, M., Zeng, M.L.: Modeling Classification Systems in SKOS: Some Challenges and Best-Practice Recommendations. In: Proceedings of the International Conference on Dublin Core and Metadata Applications (Seoul). Dublin Core Metadata Initiative (2009), http://dcpapers.dublincore.org/index.php/pubs/article/view/974/0
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Lange, C. et al. (2012). Reimplementing the Mathematics Subject Classification (MSC) as a Linked Open Dataset. In: Jeuring, J., et al. Intelligent Computer Mathematics. CICM 2012. Lecture Notes in Computer Science(), vol 7362. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31374-5_36
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DOI: https://doi.org/10.1007/978-3-642-31374-5_36
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