Integrating Unstructured Data Sources Into An Enterprise Knowledge Graph

Modern enterprise data ecosystems store information as textual data, so an enterprise-scale knowledge graph platform must be capable of integrating large collections of unstructured data. Knowledge graphs created by Altair® Graph Studio™ connect to the source’s facts to analyze them alongside more structured data, like relational databases, data lakes, or application programming interfaces (APIs). Graph Studio onboards unstructured data directly into knowledge graphs using a configurable, scalable pipeline that requires no customized coding. These pipelines generate a graph model for unstructured text and extracted metadata. This creates connections between elements and related entities for fully integrated search queries and semantic relations within the graph.

Through the following example, we’ll demonstrate how Graph Studio inputs unstructured data — sources that contain text, like PDFs, text messages, or text snippets embedded in structured data — directly into knowledge graphs.