Survey on Knowledge Graph enrichment

Dear Colleagues,

having information-rich knowledge graphsis a common goal — but how can 
we enrich existing knowledge graphs while ensuring high-quality and 
costefficiency? We are collecting best practices, recommendations, and 
real-world examplesfor Knowledge Graph Enrichmenttasks within theGOBLIN 
COST action <https://goblin-cost.eu/>.

We kindly invite you to share your insights by completing this survey: 
*https://forms.gle/tyW9M42nQc8fciLV6 <https://forms.gle/tyW9M42nQc8fciLV6>*

The survey consists of three parts, each taking approximately 2–4 
minutes(no more than 12 minutes in total):

 1.

    We first collect community perspectives on the *definition and
    scope* of KG enrichment and ask for key references in the field.

 2.

    We then focus on *practical experience*, including applied use cases
    and lessons learned.

 3.

    Finally, we gather some brief background information about participants.

The insights collected will contribute to an overview of *best practices 
and practical guidelines* for KG enrichment. We are also considering 
publishing the results in an interactive online format to ensure wide 
visibility and *community benefit*.

We appreciate your time and input.

Best regards,
András Micsik (on behalf of GOBLIN Task 1.4)

P.S.: Interested in getting involved with GOBLIN? Learn more about how 
to join here: https://goblin-cost.eu/about/join/ 
<https://goblin-cost.eu/about/join/>

Received on Monday, 16 March 2026 07:45:10 UTC