CAM KG

The CAM KG contains data on CAMs (Causal Activity Models), which are small knowledge graphs built using the Web Ontology Language (OWL). The CAM database combines many CAM graphs, along with a large merged bio-ontology containing the full vocabulary of concepts referenced within the individual CAMs. Each CAM describes an instantiation of some of those concepts in a particular context, modeling the interactions between those instances as an interlinked representation of a complex biological or environmental process.

Version: e92bd7b217535f2d

Files: https://stars.renci.org/var/plater/bl-4.2.1/CAMKP_Automat/e92bd7b217535f2d

Nodes: 119,917

Edges: 2,219,632

Query Endpoints

📄️ Accepts TRAPI Queries.

Accepts a TRAPI Query and returns a TRAPI Response. (https://github.com/NCATSTranslator/ReasonerAPI/)

📄️ Run a Neo4j cypher query.

Runs a cypher query against the Neo4j instance, and returns an equivalent response expected from a Neo4j HTTP endpoint (https://neo4j.com/docs/rest-docs/current/).

📄️ Find `node` by `curie`

Returns `node` matching `curie`.

📄️ Get one hop results from source type to target type.

Returns one hop paths from `source_node_type` with `curie` to `target_node_type`.

📄️ Get one-hop connection schema

Returns a list of available predicates when choosing a single source or target curie. Calling this endpoint with no query parameters will return all possible hops for all types.

Metadata Endpoints

📄️ Metadata about the knowledge graph.

Returns JSON with metadata about the data sources in this knowledge graph.

📄️ Meta knowledge graph representation of this TRAPI web service.

Returns a meta knowledge graph representation of this TRAPI web service. The meta knowledge graph is composed of the union of most specific categories and predicates for each node and edge.

📄️ Test data for usage by the SRI Testing Harness.

Returns a list of edges that are representative examples of the knowledge graph.