Gilgamesh Summarization Tool
Overview
Gilgamehs is an LLM-based ontology summarizaton. Developed as a pipeline for optimization in Knowledge Graph Question Answering tasks, to reduce a KG's complexity and prune possible multi-hop questions, further increasing the QA system accuracy. This pipeline utilizes the capabilities of LLMs to create concise summaries and locate possible redundant key-value patterns in the target KG. Implemented as a PyPI package, this pipeline can be deployed to summarize knowledge graphs as an optimization for question answering tasks.
Install
Basic requirements:
-
Python version greater or equal to 3.10.
pip install gilgamesh-summarizer
🔍 Basic Usage: Creating summaries based on Key-Value Pairs
Currently, the major functionality of our tool is in creating ontology summaries through discovering and condensing key-value pair formations in Knowledge Graph ontologies.
Our pipline initially:
- Parses ontology file and knowledge graph data
- Create clusters from initial knowledge graph data
- Cluster numbers can be reduced by removing nodes with high degrees
- Clusters can be further reduced in size by spliting and re-clustering large clusers (powered by PyJedAI)
from gilgamesh_summarizer.KnowledgeGraph import KnowledgeGraph
kg = KnowledgeGraph(path_to_rdf_data,path_to_ontology)
clusters, triples_dict = kg.create_clusters(prune_top_nodes=16,max_cluster_size=200)
clusters
And provides an unsloth based fine-tuned model locates meaningful information that can be used to create summaries
from gilgamesh_summarizer.Summarizer import Summarizer
classifier = Summarizer(kg)
results = classifier.classify_clusters(clusters, triples_dict)
Notebook Demo
An end to end example of the tool's summarization pipeline is presented here: Notebook
Github Repository
The packages official Github repo
Metadata
Release files for gilgamesh-summarizer 0.2.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| gilgamesh_summarizer-0.2.7.tar.gz | 13.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| gilgamesh_summarizer-0.2.7-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 26.4 kB
Release files / gilgamesh_summarizer-0.2.7.tar.gz
| Download URL | gilgamesh_summarizer-0.2.7.tar.gz |
|---|---|
| Size | 13.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
24ec139c5c0f2291834f371ab83eba8dc5f42e0316dbde175816d9c0700b3893
|
|
BLAKE2b-256 checksum How to use checksums |
648da2135b456b53f4284459bf9578fbd04e51c8f40307fde4f55a06cbc52a04
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.10.12
|
Release files / gilgamesh_summarizer-0.2.7-py3-none-any.whl
| Download URL | gilgamesh_summarizer-0.2.7-py3-none-any.whl |
|---|---|
| Size | 13.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
6f1a6d6cc5e55e873c9ee42936701b6d4a41c4f4ed99842d2d2a7ba8de25e321
|
|
BLAKE2b-256 checksum How to use checksums |
48b23c23c9c67fbc1a0af66bab57e7af1373a7d3e3b66fef21c7fdf3bf24b587
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.10.12
|