Metrics for modularity evaluation in modular ontologies

WiseOWL 2.0 : A Methodology for Evaluating Ontological Descriptiveness and Semantic Correctness for Ontology Reuse and Ontology Recommendations

Ontologies support shared meaning across Semantic Web applications, but selecting an appropriate ontology for reuse remains difficult because existing candidates often differ in documentation quality, semantic clarity, structural connectivity, and logical soundness. Reuse decisions are therefore frequently based on fam...

Towards Ontology-Guided Requirements Quality Analysis: an LLM-Based Tool for EHR Systems

Systematic assessment of software requirements against standardized quality models remains a challenge in requirements engineering (RE), particularly in large-scale, critical, and regulated information systems. Large language models (LLMs) have been extensively studied in many RE tasks; however, grounding LLM-assisted...

CQ4OE: A benchmark for assessing LLM-assisted ontology generation from competency questions

Ontology generation from Competency Questions (CQs) is a central yet labor-intensive phase of Ontology Engineering. While large language models (LLMs) offer promising automation capabilities, current evaluations remain fragmented. Task formulations are heterogeneous, gold standards often lack fine-grained CQ provenance...

SEOntology: A Domain Ontology for Semantic Modeling of Search Engine Optimization Workflows

Ontology driven cross language design smell detection through semantic reasoning

Design smells are structural flaws that, if not detected early, can impair software quality and increase maintenance costs. Traditional detection approaches are language-specific and rely on low-level metrics, making them ineffective for heterogeneous, multilingual systems. This paper presents Ontology-Driven Design De...

From Rule Engines to Ontologies: An OWL 2 DL Approach for Domain-Specific Evaluation Information Systems

The results support the feasibility of ontology-driven generation for static-classification systems, whereas arithmetic risk computation and temporal event processing remain better suited to complementary procedural technologies.