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?
COO
Semantic Web Company
http://www.semantic-web.at/
Since 2013 COO of the Semantic Web Company and responsible for design and implementation of all customer oriented processes together with the involved teams and team leads based on SWCs business strategy.
He is working as senior consultant in several customer projects (industry and public administration) and participates in european research projects.
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.
Msc
Ordina
https://www.ordina.com/en/
Marco Brattinga MSc is Ordina’s principal expert for intelligent data-driven organizations. Marco studied Information Technology at the University of Twente. He has more than 15 years of experience as an IT architect and consultant in the public sector.
Information Architect
Pano Maria is specialized in information modeling and architecture, and has a keen interest in standards based semantic technologies. The recent uptake of these technologies in various industries is an exciting development that Pano actively follows and participates in, for example through several W3C groups.
"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.
CTO
eccenca GmbH
https://www.eccenca.com
As Chief Technology Officer Sebastian is responsible for the technology and product development at eccenca. He holds a PhD in computer science from the University of Leipzig and authored more than 60 peer-reviewed publications.
