semiont-relate

To extract and annotate relationships for a knowledge graph, you identify canonical nodes and specify relation types. The skill automates linking these nodes, creating annotations on passages that establish how entities connect within the semantic network.

Semantic relationship extraction identifies connections like kinship, legal, or spatial links between canonical nodes. For legal documents, it links parties in contracts or court decisions, building an explicit network of legal relationships within your knowledge base.

Yes, you can build a semantic graph from biographical or literary texts. The process identifies canonical nodes and links them with meaningful relationships, enriching the semantic structure by establishing explicit connections applicable across these domains.

Yes, you need the semiont SDK to annotate kinship and spatial links between nodes. The SDK provides the underlying framework required to automate the identification and linking of relationships within your knowledge base.

To specify relation types when linking canonical nodes, you define the categories of relationships during the extraction process. This ensures the semantic graph accurately represents the specific connections, such as legal or spatial links, between entities.

The best way to connect existing nodes with explicit semantic relationships is to reference the nodes and specify your desired relation types. This automates relationship identification and creates passage annotations, ensuring links are explicitly represented in the data model.