Abstract
Datasets that represent historical sources are relative new- comers in the Linked Open Data (LOD) cloud. Following the standard LOD practices for publishing historical sources raises several questions: how can we distinguish between RDF graphs of primary and secondary sources? Should we treat archived and online RDF graphs differently in historical research? How do we deal with change and immutability of a triplified History? To answer these fundamental questions, we model historical primary and secondary sources using the OntoClean metaprop- erties and the theories of perdurance and endurance. We then use this model to give a definition of Linked Historical Data. We advocate a set of publishing practices for Linked Historical Data that preserve the on- tological properties of historical sources.
| Original language | English |
|---|---|
| Title of host publication | Knowledge Engineering and Knowledge Management |
| Subtitle of host publication | 19th International Conference, EKAW 2014 Linköping, Sweden, November 24–28, 2014 Proceedings |
| Editors | Krzysztof Janowicz, Stefan Schlobach, Patrick Lambrix, Eero Hyvönen |
| Publisher | Springer |
| Pages | 282-287 |
| Number of pages | 6 |
| Volume | LNAI 8876 |
| ISBN (Print) | 978-3-319-13703-2 |
| Publication status | Published - 2014 |
Keywords
- historical data
- historical sources
- linked data
- ontoclean