Published October 6, 2023
| Version 1.0.0
Software
Open
Top-k Query generator (Semantics-driven Keyword Search over Knowledge Graphs)
Creators
- 1. Heinz Nixdorf Chair for Distributed Information Systems, Friedrich Schiller University Jena, Jena, Germany
Description
- This is the implementation of the runtime phase of the pipeline for semantics-driven keyword search over knowledge graphs proposed by L.Feddoul.
- This code version uses the cosine similarity between the embeddings of the node labels as a semantic relatedness metric. The embeddings are generated using the Universal Sentence Encoder lite.
- This pipeline needs a weighted summary graph as input generated by the off-line phase.
- To run the code, we provide an example summary graph of Mondial under `query-generation-code/summary-graph/mondial` that is generated by running the off-line phase of the pipeline.
Files
query-generation-code.zip
Files
(132.4 kB)
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