Outils pour utilisateurs
fairdata:vienna_summer_school_2020
Différences
Ci-dessous, les différences entre deux révisions de la page.
| Les deux révisions précédentes Révision précédente Prochaine révision | Révision précédente Prochaine révision Les deux révisions suivantes | ||
|
fairdata:vienna_summer_school_2020 [2020/07/06 18:16] Francesco Beretta [Data modelling IV: Historical information and foundational ontologies] |
fairdata:vienna_summer_school_2020 [2020/07/06 18:30] Francesco Beretta [Data modelling IV: Historical information and foundational ontologies] |
||
|---|---|---|---|
| Ligne 22: | Ligne 22: | ||
| === The FAIR principles === | === The FAIR principles === | ||
| - | Wilkinson, Mark D., Michel Dumontier, Ijsbrand Jan Aalbersberg, Gabrielle Appleton, Myles Axton, Arie Baak, Niklas Blomberg, et al. “[[https://www.nature.com/articles/sdata201618|The FAIR Guiding Principles for Scientific Data Management and Stewardship]].” Scientific Data 3 (March 15, 2016): 160018. | + | * Wilkinson, Mark D., Michel Dumontier, Ijsbrand Jan Aalbersberg, Gabrielle Appleton, Myles Axton, Arie Baak, Niklas Blomberg, et al. “[[https://www.nature.com/articles/sdata201618|The FAIR Guiding Principles for Scientific Data Management and Stewardship]].” Scientific Data 3 (March 15, 2016): 160018. |
| + | * Go FAIR – [[https://www.go-fair.org/fair-principles/|FAIR Principles]] | ||
| + | |||
| + | \\ | ||
| + | === Ontology === | ||
| + | |||
| + | * John Domingue, Dieter Fensel, James A. Hendler, ed. //Handbook of semantic web technologies//. Berlin: Springer, 2011. | ||
| + | |||
| + | |||
| + | \\ | ||
| ==== Data modelling V: Exploring and extending the CIDOC CRM ==== | ==== Data modelling V: Exploring and extending the CIDOC CRM ==== | ||
| The CIDOC CRM (an ISO norm since 2006) has been defined as a “formal ontology intended to facilitate the integration, mediation and interchange of heterogeneous cultural heritage information” (Martin Doerr). Although there are significant intersections between the two fields of cultural heritage preservation in museums and historical research, the CRM has to be extended with some relevant, missing high-level classes in order to meet the needs of the latter. Furthermore, there is a need to enrich the ontology with the modelling patterns required for the fine-grained data production in all the different fields of historical research, and notably in prosopography. We will see how collaborative data modelling carried out in the ontology management environment OntoME makes it possible to elaborate a communal and adaptive conceptualization of the domain. | The CIDOC CRM (an ISO norm since 2006) has been defined as a “formal ontology intended to facilitate the integration, mediation and interchange of heterogeneous cultural heritage information” (Martin Doerr). Although there are significant intersections between the two fields of cultural heritage preservation in museums and historical research, the CRM has to be extended with some relevant, missing high-level classes in order to meet the needs of the latter. Furthermore, there is a need to enrich the ontology with the modelling patterns required for the fine-grained data production in all the different fields of historical research, and notably in prosopography. We will see how collaborative data modelling carried out in the ontology management environment OntoME makes it possible to elaborate a communal and adaptive conceptualization of the domain. | ||
fairdata/vienna_summer_school_2020.txt · Dernière modification: 2021/07/12 13:54 par Francesco Beretta
