Enterprise Knowledge Graphs’ unique role is to serve as hubs for data, metadata and content.
(i) interlink data to put everything in context and
(ii) overlay formal semantics and enrich with metadata to assure unambiguous interpretation.
The immediate added value: comprehensive and consistent unified views to information scattered across different divisions, systems and paradigms.
On top of this, enterprises can also smarten up their proprietary information linking it to global knowledge, which provides context for interpretation and source for enrichment – either way enabling better insights and decision making. Ontotext has been at the forefront of this technology for more than 20 years – long before it was named knowledge graphs (KG).
We will present two maps, which distill our knowledge about the variety of applications that benefit from KGs and the capabilities needed to deliver, evolve and operate solutions. Along with an outline of the capabilities that we deliver on our own and those for which we count on our partners.
Finally, I will share a bit of our technological wisdom – a few considerations to have in mind before you make your information architecture too dependent on virtualization, sharding and other forms of immaculate conception.