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New research details challenges in ontology verification using LLM assistants

A new paper explores the challenges in competency question (CQ) verification for ontologies, a process used to evaluate if an ontology accurately models its intended purpose. The research highlights that CQ verification is often time-consuming and prone to errors due to the need for precise interpretation of linguistic nuances and alignment with formal ontology constructs. The study involved 19 participants using an LLM assistant for ontology evaluation, revealing the necessity of tools to refine CQs and prevent ambiguity or complexity in later stages of ontology engineering. AI

IMPACT Highlights the need for better tools to manage ambiguity in natural language processing for ontology engineering.

RANK_REASON The cluster contains an academic paper published on arXiv discussing research findings.

Read on arXiv cs.AI →

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New research details challenges in ontology verification using LLM assistants

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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Anna Sofia Lippolis, Mohammad Javad Saeedizade, Robin Keskis\"arkk\"a, Aldo Gangemi, Eva Blomqvist, Andrea Giovanni Nuzzolese ·

    When CQs Go Wrong: Challenges in CQ Verification with OE-Assist

    arXiv:2606.24619v1 Announce Type: new Abstract: Competency Questions (CQs) are the central component of CQ-verification, an established process in which an ontology is evaluated against a set of natural language questions to determine whether the intended purpose of the ontology …

  2. arXiv cs.AI TIER_1 English(EN) · Andrea Giovanni Nuzzolese ·

    When CQs Go Wrong: Challenges in CQ Verification with OE-Assist

    Competency Questions (CQs) are the central component of CQ-verification, an established process in which an ontology is evaluated against a set of natural language questions to determine whether the intended purpose of the ontology has been properly modelled. However, CQ-verifica…