
This talk explores the pivotal role of democratization in the fields of data modeling and knowledge graph development. We delve into the innovative approaches through use of neat (http://thisisneat.io) that empowers individuals and organizations to create, transform, and enhance their data models and knowledge graphs. By harnessing the potential of accessible, user-friendly technologies, we unlock the doors to a more inclusive and collaborative data-driven future. Join us as we navigate the landscape of knowledge democratization, fostering a community where data modeling is no longer confined to the realm of information architects and semantic experts, but becomes a powerful resource for all, especially SMEs.Attribution: Images in presentation are mix of images created by Cognite, images generated by Dall-E and icons downloaded from flaticons.com
| 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 |
