Knowledge Graphs are everywhere! Google has one, Amazon also and of course Microsoft has one too. In mid-2018, Gartner has identified Knowledge Graphs as new key technologies in their Hype Cycle for Artificial Intelligence. But of course we know that they already have been around for some time. So, what is a Knowledge Graph and why did they become such a hype lately?
An abundance of geospatial datasets is available. However, most are not yet accessible via the semantic web. The geospatial knowledge graph could be a linked network of the available geo-information from these datasets. In the Netherlands, many of these datasets conform to the NEN 3610 standard, containing the base model for geo-information. This standard uses UML for the visual presentation of the data model and XML, derived by an MDA driven process, for the exchange of data.
"The promise of IoT, Smart Supply Chain, and Artificial Intelligence is to provide better decisions and to enable faster implementation. Though all trends are still in an infant stage. And the reason is not the lack of data. It's the pitfalls of past and present data management approaches that lock data in silos or try to force it into one inflexible data model (like most MDM projects do). Enterprises get paralyzed by those structures. They don't even know where to start with digital transformation.