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Table 8 FAIR Evaluation Services results for the output KGs of three state-of-the-art OKE systems

From: Automatic transparency evaluation for open knowledge extraction systems

FAIR

FAIR metrics

FAIR results for each of the KGs

  

CORD-19-on-FHIR

Covid-on-the-Web

COVID-KG

Findability

F1A- Unique IDs

1

1

Error

F1B- Persistent IDs

0

0

Error

F1C- Persistent Data IDs

0

0

Error

F2A- Structured metadata

0

1

Error

F2B- Shared vocabs for metadata

0

1

Error

F3- Data ID in Metadata

0

0

Error

F3B- Metadata ID in Metadata

0

0

Error

F4- Searchable in major search engines

0

0

Error

Accessibility

A1: Metadata contains machine-readable DAL and DAC

0

0

0

A1.1- Open resolution protocol for data

0

0

1

A1.1- Open resolution protocol for metadata

1

1

1

A1.2- Data authentication and authorisation

0

0

1

A1.2- Metadata authentication and authorisation

1

1

1

Interoperability

I1- Metadata Knowledge Representation Language-Weak

0

1

1

I1- Metadata Knowledge Representation Language-Strong

0

1

1

I1- Data Knowledge Representation Language-Weak

0

0

0

I1- Data Knowledge Representation Language-Strong

0

0

0

I2- Metadata uses semantic resources-Weak

0

1

1

I2- Metadata uses semantic resources-Strong

0

0

0

I3- Metadata contains qualified outward references

0

1

1

Reusability

R1.1- Metadata includes license-Weak

0

0

0

R1.1- Metadata includes license-Strong

0

0

0