5 Matching Annotations
  1. Feb 2020
  2. dev.to dev.to
    Weekend experiments with Grakn.AI - DEV Community 👩‍💻👨‍💻
    5
    1. pyxelr 22 Feb 2020
      Now that we have the schema ready, the next step is to load it into Grakn.

      After defining schema, it needs to be loaded into Grakn:

      1) Place schema.gql in the container volume, such as db/schema.gql.

      2) Run:

      docker exec -ti grakn bash -c '/grakn-core-all-linux/grakn console --keyspace experiment --file /grakn-core-all-linux/server/db/schema.gql'

      3) Observe a similar result:

      Loading: /grakn-core-all-linux/server/db/schema.gql
...
{}
Successful commit: schema.gql
      grakn graql
    2. pyxelr 22 Feb 2020
      There's just one more step – defining the attribute types

      Don't forget to define attribute types, such as:

      name sub attribute,
    datatype string;

address sub attribute,
    datatype string;

timestamp sub attribute, abstract,
    datatype date;

    created sub timestamp;
    last-modified sub timestamp;
    last-accessed sub timestamp;
    penalty-until sub timestamp;

url sub attribute,
    datatype string;

      ...

      grakn graql
    3. pyxelr 22 Feb 2020
      We've ended up with three entities: user, badge and location. How to glue them together? Using relations.

      Use of relations to glue different entities:

      location-of-user sub relation,
    relates located-user,
    relates user-location;

achievements sub relation,
    has score,
    relates contributor,
    relates award;
      grakn graql
    4. pyxelr 22 Feb 2020
      Some things are common to multiple users, like a location (e.g. Austin, TX, USA) or the types of badges they've been awarded (bronze, silver, gold). We'll model locations and badges as separate entities.

      Modelling separate entities:

      location sub entity,
    key address,
    plays user-location;

badge sub entity,
    key color,
    plays award;
      grakn graql
    5. pyxelr 22 Feb 2020
      Graql — Grakn's query language that allows you to model, query and reason over data.

      Graql is part of Grakn

      grakn graql
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    dev.to/manfromsiberia/weekend-experiments-with-grakn-ai-2a8i