Ontologies for nextgen avionics systems

Abstract

The Federal Aviation Administration (FAA) Next Generation Air Transportation System (NextGen) system incorporates many updates to aerospace technology including coordination of air traffic management (ATM), flight deck control, and avionics architectures. One such consideration is the need for ontologies. An ontology is a formal naming and definition of the types, properties, and interrelationships of the entities that exist (and persist) for a particular domain. In aviation, an ontology is needed to organize the variables to afford computations, instructions, and the relationships between parameters. For example Triples are used as Universal Resource Identifiers (URIs) in the case of {subject, predicate (verb), object}. The subject and object entities can be connected with the relationship predicate. Together, they are an event such as an ontology coordinating Notice to Airmen (NOTAM) flight weather information. In this paper, we explore the concepts of ontologies for applications to aerospace avionics as motivated by the NextGen and Single European Sky ATM Research (SESAR) standards.

Avionics Systems Panel Research and Innovation Perspectives

“…Theoretically these CNSþA systems will be interoperable across regions/ states, between A/G systems and, possibly, between civil and military users. The use of ontologies concepts as a bridge for data sharing and interoperability is being researched, which would also support coordination of standards and mandates [26]. Cooperation between states is important to support the harmonization of the mandates and to achieve interoperability [5], [27].…”

Avaliação Da Prontidão Da Organização De Ait De Satélites Artificiais Para O Atendimento De Requisitos De Seus Stakeholders

“…found. Among those works we can mention a few: [Arvor et al 2019], a research which focuses on the capacity of ontologies to represent both symbolic and numeric knowledge, to reason based on cognitive semantics and to share knowledge on the interpretation of remote sensing images; [Cox et al 2016], an ontology to characterize space objects according to a variety of parameters including their identifiers, design specifications, components, subsystems, capabilities, vulnerabilities, origins, missions, orbital elements, patterns of life, processes, operational statuses, and associated persons, organizations, or nations; [Malin and Throop 2007], a paper which paper describes a set of taxonomies for interpreting descriptions of aerospace entities, functions, properties and problems; [Blasch 2015], a paper which explores the concepts of ontologies for applications to aerospace avionics as motivated by the NextGen and Single European Sky ATM Research (SESAR) standards and [Verhagen and Curran 2011], a paper about the development of an ontology for the aerospace composite manufacturing domain.…”

Ontology modelling of intelligent HCI in aircraft cockpit

“…Among all the methods of semantic modelling, ontology is considered to be the most important part of a semantic system (Mishra and Jain, 2020). With regard to ontology modelling in the aviation domain, most prior works focus on the knowledge representation and conceptual design of ATM and avionics systems (Blasch, 2015; Insaurralde and Erik, 2016; Insaurralde and Erik, 2018). Recent studies also revolve around this topic, but gradually extend to other applications in aviation.…”