Scientific Knowledge Graph

The ANC Knowledge Graph provides a way to query metadata of ANC datasets using GraphQL.

The metadata is stored in a Neo4j graphql database and exposed through a GraphQL API.

This allows you to:

What this tool provides

The API represents ANC metadata as a graph structure.

Main entities:

Main relationships:

You can query the data using GraphQL.

Example:

query Datasets {
  datasets {
    title
    datasetId
    doi
    accessStatus
  }
}

query {
  datasets {
    title
    datasetId
  }
}

query {
  datasets {
    title
    authors {
      givenNames
      familyNames
      orcid
    }
  }
}

query {
  datasets {
    title
    authors {
      affiliation {
        name
        ror
      }
    }
  }
}

query {
  datasets {
    title
    datatypeItems {
      datatypes
    }
  }
}

query {
  datasets {
    title
    hedItems {
      hedTags
    }
  }
}

query {
  datasetsByHed(hedId: "YOUR_HED_ID") {
    title
    datasetId
    hedItems {
      hedTags
    }
  }
}

The Knowledge Graph follows this structure:

This allows flexible queries across datasets and metadata.

The system consists of:

The API is built using:

The service is run using Docker:

docker compose up -d

This starts:

Metadata is generated using the BIDS Indexer and imported into Neo4j.

The import process:

After starting the services:

Use the Knowledge Graph if you want to: