![]() ![]() For locally stored data GraphDB™ can efficiently enforce the semantics of the data model via reasoning, consistency checking and validation. Merge different graphs flawlessly using the RDF data model. Architect the data management and search layer.Match descriptions of one and the same entity across datasets with overlapping scope, handle their attributes to merge the information and map their different taxonomies. Harmonize data via reconciliation, fusion and alignment.Generate semantic metadata to make the data easier to update, discover and reuse. ![]() Integrate data with ETL tools or virtualization approachesĪpply ETL tools to convert your data to RDF or use data virtualization to access it via technologies such as NoETL, OBDA, GraphQL Federation, etc.Formalize your data model using standards like RDF Schema and OWL. Reuse or engineer ontologies, application profiles, RDF shapes or some other mechanism on how to use them together. This includes removing invalid or meaningless entries, adjusting data fields to accommodate multiple values, fixing inconsistencies, etc.Īnalyze thoroughly the different data schemata to prepare for harmonizing the data. ![]()
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