Notes about Ontopic's approach to Data Integration, Mapping, and Knowledge Graphs
Ontopic has a distinctive approach to data integration, which we would like to share through short and easily readable articles. We kept the number of specific terms to a minimum and created a glossary for the few terms we think are almost unavoidable.
This guide is for people who want to create a Knowledge Graph containing facts and KPIs from a database. Learn in 15 minutes how to create a Virtual Knowledge Graph (VKG) without writing code from almost any database.
The traditional way of mapping column values to classes when building a Knowledge Graph is annoying. You have to write many SQL queries or break the clear separation between data from the source and the ontology. In this article, we show you how to map a class based on the value in a given column in a single step with Ontopic Studio.
Connecting things is undoubtedly the characteristic feature of a Knowledge Graph, and this pattern helps you to build highly connected Knowledge Graphs from database tables.
There is more than one way to map data sources to Knowledge Graphs. We shortly describe the most common ones and advice how to choose which way to go.
Mapping data sources to the integrated data solution is essential in many data integration projects. We started a series on mapping data with this first article.