| --- |
| license: apache-2.0 |
| language: |
| - en |
| pretty_name: CQ2Onto |
| size_categories: |
| - n<1K |
| task_categories: |
| - text-generation |
| tags: |
| - ontology-engineering |
| - ontology-generation |
| - term-extraction |
| - benchmark |
| configs: |
| - config_name: cq2onto |
| data_files: |
| - split: wine |
| path: wine/cq_to_onto_wine.json |
| - split: awo |
| path: awo/cq_to_onto_awo.json |
| - split: odrl |
| path: odrl/cq_to_onto_odrl.json |
| - split: water |
| path: water/cq_to_onto_water.json |
| - split: vgo |
| path: vgo/cq_to_onto_vgo.json |
| - split: swo |
| path: swo/cq_to_onto_swo.json |
| - config_name: cq2term |
| data_files: |
| - split: wine |
| path: wine/cq_to_terms_wine.json |
| - split: awo |
| path: awo/cq_to_terms_awo.json |
| - split: odrl |
| path: odrl/cq_to_terms_odrl.json |
| - split: water |
| path: water/cq_to_terms_water.json |
| - split: vgo |
| path: vgo/cq_to_terms_vgo.json |
| - split: swo |
| path: swo/cq_to_terms_swo.json |
| --- |
| |
| # CQ2Onto Benchmark & Dataset |
|
|
| Benchmark for evaluating LLM-assisted ontology generation from competency questions, across six domains. For each domain the dataset provides a gold OWL ontology, two CQ files (one per evaluation task), and the annotation spreadsheet used during construction. Each Ontology contains a set of CQs for `CQ2Term`, a set of CQs for `CQ2Onto`, a owl source file that representing all CQs for `CQ2Onto`, and an excel contains all annotation process. More details can be found [here](https://github.com/oeg-upm/OntologyEngineeringBenchmark). |
|
|
| Two tasks: |
|
|
| - **CQ2Term**: given a CQ, extract all possible classes and properties. |
| - **CQ2Onto**: given a set of CQs, produce a full OWL ontology. |
|
|
|
|
|
|
| ## Dataset Construction |
|
|
| We have selected six ontologies in three diferent scales: |
|
|
|
|
| | Ontology | Tier | Source CQs | Retained | New ⋆ | CQ2Onto set | CQ2Term set | |
| |----------|------|-----------:|---------:|------:|------------:|------------:| |
| | Wine | small | 7 | 4 | 1 | 5 | 5 | |
| | AWO | small | 14 | 7 | 0 | 7 | 7 | |
| | ODRL | medium | 35 | 13 | 6 | 19 | 19 | |
| | Water | medium | 43 | 21 | 0 | 21 | 20 | |
| | VGO | large | 68 | 30 | 1 | 31 | 22 | |
| | SWO | large | 88 | 35 | 0 | 35 | 26 | |
|
|
| All sources of the selected ontologies: |
|
|
| - **wine**: [Wine Ontology](https://github.com/UCDavisLibrary/wine-ontology) |
| - **awo**: [African Wildlife Ontology](https://people.cs.uct.ac.za/~mkeet/OEbook/ontologies/AfricanWildlifeOntology1.owl) |
| - **odrl**: [ODRL Vocabulary Ontology](https://www.w3.org/ns/odrl/2/) |
| - **water**: [SAREF4WATR Ontology](https://saref.etsi.org/saref4watr/v1.1.1/) |
| - **vgo**: [Video Game Ontology](https://vocab.linkeddata.es/vgo/) |
| - **swo**: [Software Ontology](https://obofoundry.org/ontology/swo.html) |
|
|
|
|
| ## File formats |
|
|
| ### Annotation Records: |
|
|
| **`<Domain>_CQs_Annotations.xlsx`**: annotation process with per-CQ class and property splits, plus axioms. |
|
|
| ### CQ2Onto Task: |
|
|
| **`cq_to_onto_<domain>.json`** (CQ2Onto Input): list of CQs. Gold standard is the ontology, corresponding to `.owl` file. |
| |
| ```json |
| [ |
| {"id": "CQ1", "value": "Which wine characteristics should I consider when choosing a wine?"} |
| ] |
| ``` |
| |
| **`sub_<domain>.owl`** (CQ2Onto Gold Standard): OWL source code in RDF/XML. CQ-driven restriction of the source ontology, retaining only what's required to satisfy the CQs. |
|
|
| ### CQ2Term Task: |
|
|
| **`cq_to_terms_<domain>.json`** (CQ2Term Input & Gold Standard): list of CQs, with the gold standard class and property labels. |
| |
| ```json |
| [ |
| { |
| "id": "CQ1", |
| "question": "Which wine characteristics should I consider when choosing a wine?", # Input Competency Question |
| "classes": ["Wine", "WineDescriptor"], # Gold Standard Classes |
| "properties": ["hasWineDescriptor"] # Gold Standard Properties |
| } |
| ] |
| ``` |
| |
| |
| ## Loading |
| |
| ```python |
| from huggingface_hub import hf_hub_download |
| import json, rdflib |
| |
| # CQ2Term: Load Dataset |
| path = hf_hub_download("oeg/CQ2Onto", "wine/cq_to_terms_wine.json", repo_type="dataset") |
| cqs = json.load(open(path)) |
| |
| # CQ2Onto |
| path = hf_hub_download("oeg/CQ2Onto", "wine/sub_wine.owl", repo_type="dataset") |
| g = rdflib.Graph().parse(path) |
| ``` |
| ## License |
| |
| Apache 2.0. |
