The ITU-T Recommendation G.805 is a telecommunication standard providing a generic functional architecture for transport networks and serving as the basis for several others networking and management specifications. Due to its fundamental importance, it is essential for this recommendation to be clear, complete and unambiguous, thus eliminating the spread of problems for all its using documents. This article employs an ontology-based systematic evaluation to verify the aforementioned characteristics on the ITU-T G.805 standard current documentation. Moreover, it discusses a number of ontological problems identified by this evaluation. Finally, the article illustrates with fragments of a well-founded reference model for the same domain, how these identified problematic situations can be addressed in a representation artifact.

Conceptual models are artifacts representing conceptualizations of particular domains. Hence, multi-domain model catalogs serve as empirical sources of knowledge and insights about specific domains, about the use of a modeling language's constructs, as well as about the patterns and anti-patterns recurrent in the models of that language crosscutting different domains. However, to support domain and language learning, model reuse, knowledge discovery for humans, and reliable automated processing and analysis by machines, these catalogs must be built following generally accepted quality requirements for scientific data management. Especially, all scientific (meta)data-including models-should be created using the FAIR principles (Findability, Accessibility, Interoperability, and Reusability). In this paper, we report on the construction of a FAIR model catalog for Ontology-Driven Conceptual Modeling research, a trending paradigm lying at the intersection of conceptual modeling and ontology engineering in which the Unified Foundational Ontology (UFO) and OntoUML emerged among the most adopted technologies. In this initial release, the catalog includes over a hundred models, developed in a variety of contexts and domains. The paper also discusses the research implications for (ontology-driven) conceptual modeling of such a resource.

The SNMP protocol remains a broadly adopted technology in the Internet management framework and its MIB was proposed to guarantee interoperation. In order to enable the management of new equipment, the human manager must compile the correlated MIB file (MIB description) and choose the right objects to manage an implicit knowledge. This paper presents an ontology-based approach and a Semantic SNMP extension, to improve the framework's autonomic support.

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