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Techniques for ontology-based data description and discovery in a decentralized SWIM knowledge base

Authors: C. Schütz, B. Neumayr, M. Schrefl
Technical Report: TR1801 (May, 2018)
Citation: Technical Report, Projekt BEST, Deliverable 2.1
Resources: Copy  (In order to obtain the copy please send an email with subject  TR1801  to dke.win@jku.at)


Abstract (English):

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.