The creation of high-quality ontologies is crucial for data integration and knowledge-based
reasoning, specifically in the context of the rising data economy. However, automatic …

 Ontology matching is crucial to data integration for across-silo data sharing and has been
mainly addressed with heuristic and machine learning (ML) methods. While heuristic …

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

Air Traffic Management (ATM) has become complicated mainly due to the increase and
variety of input information from Communication, Navigation, and Surveillance (CNS) …

The management of aviation data is a great challenge in the aviation industry, as they are
complex and can be derived from heterogeneous data sources. To handle this challenge …

The acquisition and maintenance of non-technical skills by the pilots are fundamental factors
for the prevention of aviation accidents. The aviation authorities are promoting that air crew …

Ontology matching (OM) is one of the most challenging problems in the Semantic Web.
Despite significant progress over the past few decades, evidenced by numerous …

抄録 With the advancement of information and communication technologies, to improve the
interoperability between heterogeneous information systems by regularizing the syntax for …

航空機の運航に係る飛行計画, 空港, 監視, 航空気象, 空域制限などの異種情報について,
独立したシステムを連携させて Air Traffic Management (ATM) 関連データのシームレスな情報 …

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