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All Journal Jurnal Kesehatan Vokasional Jurnal Ilmiah Matrik Edsence: Jurnal Pendidikan Multimedia JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Teknik Informatika (JUTIF) Industrial Research Workshop and National Seminar Jurnal Pengabdian Masyarakat - Teknologi Digital Indonesia Jurnal Penjaminan Mutu Jurnal ELTEK
Jonner Hutahaean
Politeknik Negeri Bandung
Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Mechanical Engineering Nursing Public Health Social Sciences Other

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A comparative study of property-to-label and property-to-node refactoring in ontology-based graph data modeling Ade Hodijah; Sri Ratna Wulan; Jonner Hutahaean; Rahil Jumiyani
JURNAL ELTEK Vol. 24 No. 2 (2026): October 2026
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/eltek.v24i2.10896

Abstract

Integrating Web Ontology Language with Neo4j through the neosemantics (n10s) framework enables semantic validation and automated reasoning that are not natively supported by Labeled Property Graphs. However, the choice of graph refactoring pattern influences query performance. This study compares two ontology-based graph refactoring approaches, namely Property-to-Label (P2L) and Property-to-Node (P2N), implemented in Protégé and integrated into Neo4j using n10s and Owlready2. Both models were evaluated for semantic validation and ontology reasoning using the PET ontology, while their query execution performance was benchmarked using 78 Cypher query variants derived from the IMDB dataset. The evaluation examined the relationship between execution time and reductions in WHERE clauses following schema refactoring. The results show that both approaches successfully enforce ontology constraints and infer missing classifications from incomplete data. Performance analysis indicates that both P2L and P2N improved query execution time, with the highest reduction percentage was 89% for queries with four total number of the WHERE. P2L exhibited a more consistent relationship between WHERE clause reduction and execution time improvement due to Neo4j's native label indexing.
Co-Authors Ade Chandra Nugraha Ade Hodijah Andi Fauzy Dewantara Bakhrun, Akhmad Cholid Fauzi Didik Suwito Pribadi Djoko Cahyo Utomo Lieharyani Elza Esterina Fatharani Fatharani Fitri Diani Gelar, Trisna Hashri Hayati Irawan Thamrin IRWAN SETIAWAN Khoirunnisa Putri Kania Lian Min, Joe Luthfi Alri Mugi Pangestu Muhammad Fikri Muhammad Riza Alifi Naufal Taufik Nayara Saffa Rahil Jumiyani Ramdhani, Algi Fari Suprihanto Syifa Khairina Transmissia Semiawan Urip Teguh Setijohatmo Widhiyasana, Yudi Wisnuadhi, Bambang Wulan, Sri Ratna