Abstract / Description of output
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.
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.
Original language | English |
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Title of host publication | Intelligent Computer Mathematics |
Subtitle of host publication | 11th International Conference, AISC 2012, 19th Symposium, Calculemus 2012, 5th International Workshop, DML 2012, 11th International Conference, MKM 2012, Systems and Projects, Held as Part of CICM 2012, Bremen, Germany, July 8-13, 2012. Proceedings |
Publisher | Springer |
Pages | 458-462 |
Number of pages | 5 |
ISBN (Electronic) | 978-3-642-31374-5 |
ISBN (Print) | 978-3-642-31373-8 |
DOIs | |
Publication status | Published - 2012 |
Publication series
Name | Lecture Notes in Computer Science (LNCS) |
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Publisher | Springer Berlin Heidelberg |
Volume | 7362 |
ISSN (Print) | 0302-9743 |