The rapid development of data and artificial intelligence technology has introduced new
opportunities and challenges to aeronautical information intelligence. However, there are …

Managing complex aviation data can be a significant challenge for any enterprise-whether a
government agency, airline, airframe manufacturer, or aviation service provider. To handle …

There has been a growth in the use of ontologies for communities such as medical
diagnostics, target assessment, and chemical composition. An area that can benefit from an …

Historically, most of the focus in the knowledge graph community has been on the support
for web, social network, or product search applications. This paper describes some of our …

Multi-level modeling is currently regaining attention in the database and software
engineering community with different emerging proposals and implementations. One driver …

Air Traffic Management (ATM) is getting challenging mainly due to the massive information
processed from increasingly sophisticated avionics systems, unprecedentedly crowded …

Avionics systems are getting increasingly sophisticated, airspaces are densely occupied,
and aircraft are desired to fly in more adverse weather conditions. These conditions increase …

Air Traffic Management (ATM) incorporates demanding decision-making processes that
combine information of diverse characteristics. ATM challenges aviators and airspace …

The Uncertainty Representation and Reasoning Evaluation Framework (URREF) ontology
addresses various semantic ambiguities associated with uncertainty. One of the main …

A knowledge graph (KG) represents real-world entities and their relationships. The
represented knowledge is often context-dependent, leading to the construction of …