
The European Olfactory Knowledge Graph (EOKG) includes information about smell from (digital) text and image collections from the European history (1600-1920), extracted in the context of the Odeuropa project in a cultural heritage preservation perspective. It contains over 2,500,000 olfactory reference coming from over 43,000 images and 2,400,000 texts in six languages, organised according to the Odeuropa Ontology and leveraging machine learning to recognise and categorise olfactory elements. Additional Links EOKG Vocabularies: https://vocab.odeuropa.eu/ (vocabulary browser)Odeuropa Ontology: https://data.odeuropa.eu/ontology/ (data model)EOKG API: https://grlc.eurecom.fr/api/Odeuropa/kg-api/ (API)EOKG technical report: https://odeuropa.eu/wp-content/uploads/2024/10/D4_3_European_Olfactory_Knowledge_Graph_v2_final.pdf (documentation)Odeuropa Smell Explorer: https://explorer.odeuropa.eu/ (demonstrator)
History, Art history, Semantic web, Digital humanities
History, Art history, Semantic web, Digital humanities
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
