Women’s Roles in the Family: An Ontological Representation

Although empirical family research recognises motherhood, marital roles, and daughterhood as analytically distinct, the scholarly literature still lacks a formally engineered, machine-readable model that links these constructs to primary textual evidence. We address this gap by developing a domain ontology from a curated corpus of 64 canonical texts (≈ 30 000 words). Following the NeOn methodology, we (i) elicited 64 competency questions, (ii) applied semantic-field analysis to derive a controlled vocabulary, and (iii) formalised the resulting concepts and relations in OWL. The finished ontology contains 150 classes, 18 object properties, and 11 annotation properties, all verified for logical consistency with the HermiT reasoner. A two-stage evaluation combined automated metrics with expert review. On a stratified sample of 120 queries, the ontology-driven retrieval pipeline achieved a mean average precision of 0.87—an 89 % improvement over a keyword baseline (0.46). Domain specialists further confirmed that the model supplies the contextual information needed for nuanced interpretation of each role. The ontology is released under an open licence and can be consumed directly by SPARQL endpoints or embedded in digital-humanities workflows. By offering a rigorously validated, extensible representation of women’s family roles, the resource lowers barriers to reproducible research and paves the way for comparative studies across languages and cultures.

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Publication Details

Journal
Journal of Hunan University Natural Sciences
Published
2025-05-01
DOI
https://doi.org/10.55463/issn.1674-2974.52.5.12
Primary Topic
Family Business Performance and Succession
Type
article
Field-Weighted Citation Impact
0.00

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article

Women’s Roles in the Family: An Ontological Representation

Siti Fatimah Mohd Tawil
Journal of Hunan University Natural Sciences
Family Business Performance and Succession
article

Women’s Roles in the Family: An Ontological Representation

Siti Fatimah Mohd Tawil
article en

Abstract

Although empirical family research recognises motherhood, marital roles, and daughterhood as analytically distinct, the scholarly literature still lacks a formally engineered, machine-readable model that links these constructs to primary textual evidence. We address this gap by developing a domain ontology from a curated corpus of 64 canonical texts (≈ 30 000 words). Following the NeOn methodology, we (i) elicited 64 competency questions, (ii) applied semantic-field analysis to derive a controlled vocabulary, and (iii) formalised the resulting concepts and relations in OWL. The finished ontology contains 150 classes, 18 object properties, and 11 annotation properties, all verified for logical consistency with the HermiT reasoner. A two-stage evaluation combined automated metrics with expert review. On a stratified sample of 120 queries, the ontology-driven retrieval pipeline achieved a mean average precision of 0.87—an 89 % improvement over a keyword baseline (0.46). Domain specialists further confirmed that the model supplies the contextual information needed for nuanced interpretation of each role. The ontology is released under an open licence and can be consumed directly by SPARQL endpoints or embedded in digital-humanities workflows. By offering a rigorously validated, extensible representation of women’s family roles, the resource lowers barriers to reproducible research and paves the way for comparative studies across languages and cultures.

Journal of Hunan University Natural Sciences(Volume 52, Issue 5)
Universiti Sains Islam Malaysia
Openalex Percentile: Top 80%
Family Business Performance and Succession
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Women’s Roles in the Family: An Ontological Representation — Siti Fatimah Mohd Tawil · Journal of Hunan University Natural Sciences (2025) | TGRS Research Map | TGRS