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Evaluating the quality of ontologies

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dc.contributor.author Sammi, Daksh
dc.contributor.author Bhushan, Lakshay
dc.contributor.author Mutharaju, Raghava (Advisor)
dc.contributor.author Shimizu, Cogan (Advisor)
dc.date.accessioned 2026-09-15T08:26:26Z
dc.date.available 2026-09-15T08:26:26Z
dc.date.issued 2024-11-27
dc.identifier.uri http://repository.iiitd.edu.in/xmlui/handle/123456789/2140
dc.description.abstract Ontologies serve as fundamental tools for organizing and representing knowledge in various do mains. Evaluating ontology quality is crucial for ensuring their e!ectiveness and usability. This paper presents a comprehensive review of ontology evaluation framework, encompassing both traditional approaches and emerging techniques. Method-based evaluation, focusing on criteria such as syntax, structure, and semantics, o!ers insights into ontology design and construction. Additionally, level-based evaluation divides assessment into distinct layers, enhancing the un derstanding of ontology characteristics. Our tool will combine the major frameworks used by knowledge experts to evaluate their ontologies like OQuaRE, OntoQA, Orme et. al., etc., which are selected after several literature reviews about their use cases. Our tool is complemented with an additional layer of LLMs suggesting knowledge experts on how to improve their ontol ogy based on the calculated metrics and o!ering in-depth insights from each calculated metric. The LLMs in our tool are connected via a retrieval augmentation pipeline. Our tool is built to overcome the limitations of pre-exisitng tools which are either not working, not available, do not take all major frameworks into account or do not provide insights regarding calculated metrics for the knowledge expert to improve their ontology. Our paper concludes with insights into future research directions and the importance of adopting a holistic approach to ontology evaluation. en_US
dc.language.iso en_US en_US
dc.publisher IIIT-Delhi en_US
dc.subject Ontology Quality en_US
dc.subject Evaluation Tool en_US
dc.subject Semantic Web en_US
dc.subject Large Language Models en_US
dc.title Evaluating the quality of ontologies en_US
dc.type Other en_US


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