shehzaadzd/MINERVA

Meandering In Networks of Entities to Reach Verisimilar Answers

49
/ 100
Emerging

This tool helps researchers and data scientists answer complex questions by navigating through large knowledge graphs. You input a question, like finding the home stadium of a player, along with your structured knowledge data. The system then explores connections between entities in the graph to deliver the most likely answer. It's designed for anyone working with interconnected data, needing to infer relationships or find specific information not explicitly stated.

319 stars. No commits in the last 6 months.

Use this if you have a knowledge graph and need to find specific answers or complete missing information by reasoning over pathways between entities.

Not ideal if your data is unstructured text or if you're looking for simple keyword matching rather than inferential pathfinding.

knowledge-graph-reasoning information-retrieval semantic-search data-inference
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 23 / 25

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Stars

319

Forks

88

Language

Python

License

Apache-2.0

Last pushed

May 19, 2019

Commits (30d)

0

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