This paper uses an approach to conceptualize the various constructs of OntoObject-Z in RDF, a fundamental component of the web ontology language (OWL), and implements the resulting ontology in a human readable syntax of the resource description framework (RDF).
Abstract
The objective of this paper is threefold. First, we provide OntoObject-Z with meta-schemas that serve as a means to assist in structuring large ontologies ([Figueiredo, 18], [Shimizu, 23]) that support the specification of complex problem domains such as computer networks and their communication protocols. These meta-schemas enable OntoObject-Z, an ontology language, to enhance the human interpretability of large ontologies. This results in high-level, well-structured, modular specifications for real-scale problem domains, since OntoObject-Z still supports machine interpretability through its refinement method [Bettaz, 23]. Next, we use a case study on local area networks (LANs) to demonstrate the effectiveness of our approach. Finally, we implement the resulting ontology in a human readable syntax of the resource description framework (RDF). To this end, we use an approach to conceptualize the various constructs of OntoObject-Z in RDF, a fundamental component of the web ontology language (OWL). Our ontology can thus be used as a knowledge-based system that can be queried and used for reasoning.
This paper conducts a systematic empirical study of several state-of-the-art LLMs under different prompting strategies, isolating the role of structural guidance and contextual information in generating valid mappings and highlighting both the potential and the limitations of LLMs in structured semantic generation task...
OntologyToUI is presented, a framework that treats ontologies written in OWL/RDF as a Domain-Specific Language (DSL) for user-interface specification and validate the framework’s extensibility through two case studies developed in the scope of the Smart_LEM project.
Da Costa, Júlio Costa, P. Jorge et al.· 0 citations
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.
Borivoj Bogdanović, S. Nikolić· Computers· 0 citations
Smart contracts increasingly support high-value and governance-critical blockchain applications, making precise program understanding important for reliable analysis and tooling. Many existing analysis tools rely on task-specific pipelines in which extracted program knowledge is not readily available as reusable and in...