Name
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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-31374-5_36 | CICM'12 Proceedings of the 11th international conference on Intelligent Computer Mathematics |
Keywords | DocType | Volume |
idiosyncratic conceptualization,linked open dataset,brief overview,available implementation,open dataset,simple knowledge organization system,mathematics subject classification,annotation support,new official implementation,custom implementation,classifying document | Conference | abs/1204.5086 |
Citations | PageRank | References |
2 | 0.44 | 6 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christoph Lange | 1 | 110 | 15.07 |
| Patrick Ion | 2 | 47 | 5.88 |
| Anastasia Dimou | 3 | 185 | 35.53 |
| Charalampos Bratsas | 4 | 186 | 22.74 |
| Joseph Corneli | 5 | 56 | 10.60 |
| Wolfram Sperber | 6 | 11 | 4.09 |
| Michael Kohlhase | 7 | 1095 | 127.65 |
| Ioannis Antoniou | 8 | 60 | 12.93 |