Notes about Ontopic's approach to Data Integration, Mapping, and building 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.
These articles are more of general nature, we also have a section for technical documentation specific to Ontopic products.
Many people build a Knowledge Graph by moving and transforming existing data into a graph database. This approach is also known as Knowledge Graph materialization. During the past decade, Ontop has become a reference open-source solution for materializing Knowledge Graphs from relational data sources in large organizations.In this article, we present two ways to materialize your Knowledge Graph using Ontop.
In today's data-driven world, businesses are constantly seeking new ways to integrate and leverage data from multiple sources. One approach that has gained popularity in recent years is the use of Virtual Knowledge Graphs (VKGs), which allow organizations to query and analyze data from disparate sources without the need for data migration. In this article, we will explore what a VKG is, how it works, and its potential business applications.
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.
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