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.

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
• awo: African Wildlife Ontology
• odrl: ODRL Vocabulary Ontology
• water: SAREF4WATR Ontology
• vgo: Video Game Ontology
• swo: Software Ontology

File formats

cq_to_onto_<domain>.json (CQ2Onto input): list of CQs. Gold standard is the ontology, corresponding to .owl file.

[
  {"id": "CQ1", "value": "Which wine characteristics should I consider when choosing a wine?"}
]

cq_to_terms_<domain>.json (CQ2Term gold): list of CQs, with the gold standard class and property labels.

[
  {
    "id": "CQ1",
    "question": "Which wine characteristics should I consider when choosing a wine?",
    "classes": ["Wine", "WineDescriptor"],
    "properties": ["hasWineDescriptor"]
  }
]

sub_<domain>.owl: OWL source code in RDF/XML. CQ-driven restriction of the source ontology, retaining only what's required to satisfy the CQs.

<Domain>_CQs_Annotations.xlsx: annotation process with per-CQ class and property splits, plus axioms.

Loading

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.