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Visual Analysis and Querying of Large Knowledge Graphs

Open tholiebig opened this issue 1 year ago • 2 comments

Talk Title

Visual Analysis and Querying of Large Knowledge Graphs

Session Overview

Grasping and querying large Knowledge Graphs (KGs) is challenging. I will demonstrate tooling for RDF as well as LPG graph data that uses visual aggregation to enable exploration and querying of large KGs, from the meta level down to node and relationship details without the hairball problem of graph visualization.

Using production data from an industry project, I will share experiences with our codeless query approach that can guide users in developing meaningful queries without any prior idea of the data or any SPARQL or Cypher language skills to:

  • investigate not only the structure but also the proportions of millions of nodes in the KG,
  • find data flaws, identify data outliers or missing connections,
  • build complex queries including sophisticated filtering and path expressions just by visual exploration,
  • refine the graph schema with new classes/labels on the fly while browsing the graph.

Target Audience

Data stewards, data analysts, data owners, data domain experts or any other user with a need for

  • graph understanding
  • graph data quality analysis
  • query building

Desired Feedback

User feedback about the tool set or exchange about alternative approaches / workflows etc.

Speaker Details

Thorsten Liebig is co-founder of derivo, who is supporting companies and organizations to reveal and exploit the knowledge in their data sources by means of semantic technologies. As a consultant he has contributed to KG projects at Festo, Schaeffler, Springer Nature or Bertelsmann. Thorsten was responsible co-author of OWLlink, an official W3C member submission.

Recording Consent

YES

Workshop Potential

NO

Visual Aid for Social Media

Further information and links:

SemSpect-Screenshot

tholiebig avatar Mar 06 '24 09:03 tholiebig

Thanks for the proposal! I'm finalizing the schedule in the following 1-2 weeks, looks like we are pretty much full already.

ktk avatar Mar 25 '24 15:03 ktk

Thanks for the contribution! Your session is accepted, looking forward to see you!

ktk avatar Apr 09 '24 13:04 ktk