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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 by means of small and easily readable articles. We try to keep the amount of specific terms to a minimum. We created a glossary for the few terms we think are almost unavoidable.

MAPPING-05

Map column values to classes in your Knowledge Graph without the usual pain

The traditional way of mapping column values to classes when building a Knowledge Graph is annoying - either you have to write a lot of SQL queries or you 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.
 5 min

MAPPING-04

Mapping many-to-many relationships to object properties

Connecting things is certainly the characteristic feature of a Knowledge Graph. This pattern helps you to nicely highly connected Knowledge Graphs from database tables.
 5 min

MAPPING-03

Mapping database columns to data properties

Mapping table columns to data properties (attributes) in the Knowledge Graph is another fundamental pattern you will use frequently.
 5 min

MAPPING-02

Mapping a database table to a class

This will very likely be your very first mapping pattern when building a Knowledge Graph from a relational data source.
 5 min

MAPPING-01

Some facts to consider when choosing a Mapping Editor

There is more then one way to map data sources to Knowledge Graphs. We shortly describe the most common ones and give some advice on how to chose which way to go.
 7 min

MAPPING-00

Why should you consider mappings when building a Knowledge Graph?

Mapping data sources to the integrated data solution is an important step in many data integration projects. We started a series on mapping data with this first article.
 3 min

Deni Jegeni

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