Christoph Georg Schütz, Bernd Neumayr, Michael Schrefl,
"Techniques for ontology-based data description and discovery in a decentralized SWIM knowledge base"
, Technischer Bericht, Projekt BEST, Deliverable 2.1, 5-2018
Original Titel:
Techniques for ontology-based data description and discovery in a decentralized SWIM knowledge base
Sprache des Titels:
Englisch
Original Kurzfassung:
The upcoming System Wide Information Management (SWIM) in air traffic management mandates access to required information via information services in order to ensure common situational awareness among stakeholders. Developing value-added information services and applications in SWIM will encompass finding, selecting, filtering and composition of data/information from different sources (the ?data logic?). In this respect, semantic containers are a means to encapsulate the data logic and clearly separate it from business and presentation logic; the separation of data logic from business and presentation logic is a commonly accepted principle in software engineering. The provisioning of semantic containers for a specific purpose encompasses the discovery of existing source containers and often further value-adding processing steps such as filtering and annotating. Common semantic web technologies are well-suited to implementing the semantic container approach; a mix of semantic web technologies will have to be employed.
Forschungs-