2016
DOI: 10.1007/s00799-016-0186-2
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WW1LOD: an application of CIDOC-CRM to World War 1 linked data

Abstract: The CIDOC-CRM standard indicates that common events, actors, places and timeframes are important in linking together cultural material, and provides a framework for describing them. However, merely describing entities in this way in two datasets does not yet interlink them. To do that, the identities of instances still need to be either reconciled, or be based on a shared vocabulary.The WW1LOD dataset presented in this paper was created to facilitate both of these approaches for collections dealing with the Fi… Show more

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Cited by 19 publications
(20 citation statements)
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“…There are several projects publishing linked data about the World War I on the web, such as Europeana Collections 1914Collections -1918Collections 36 , 1914Collections -1918 Online 37 , WW1 Discovery 38 , Out of the Trenches 39 , Muninn [19], and WW1LOD [15]. There are few works that use the Linked Data approach to World War II, such as [3,1], Defence of Britain 40 , and Open Memory Project 41 .…”
Section: Related Work and Discussionmentioning
confidence: 99%
“…There are several projects publishing linked data about the World War I on the web, such as Europeana Collections 1914Collections -1918Collections 36 , 1914Collections -1918 Online 37 , WW1 Discovery 38 , Out of the Trenches 39 , Muninn [19], and WW1LOD [15]. There are few works that use the Linked Data approach to World War II, such as [3,1], Defence of Britain 40 , and Open Memory Project 41 .…”
Section: Related Work and Discussionmentioning
confidence: 99%
“…Other general-purpose metadata schemas in the cultural heritage domain [32], Out of the Trenches [59], and WW1LOD [152].…”
Section: Schemas and Ontologiesmentioning
confidence: 99%
“…WW1LOD [152] uses a CIDOC CRM-based modeling of WW1 military history, containing information about events, actors, historical places, times, population statistics, keywords, and themes relating to the war. The main modeling rationales are: 1) Use existing established ontologies (especially CRM), 2) Model similar data uniformly, 3) Strive to model data intuitively, 4) Don't lose information included in the original source dataset.…”
Section: Schemas and Ontologiesmentioning
confidence: 99%
See 1 more Smart Citation
“…org/ ) (Bruseker and Carboni, 2015). CRM has been implemented at the British Museum and German Archaeological Institute, as well as various European Union projects (e.g., Guillen et al, 2015;Makela et al, 2016), and also the Text Database and Dictionary of Classic Mayan at University of Bonn ( https://www.sub.uni-goettingen.de/en/projects-research/ project-details/projekt/text-database-and-dictionary-of-classic-mayan/ ). Because the CRM ontology makes the data semantically intelligent, it expands the interoperability of the mapped data with other databases and so it will ensure accessibility of the data long into the future.…”
Section: Data Storage Reuse and Peer Reviewmentioning
confidence: 99%