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Current architectures for systems integration provide means for forming agile business processes by manually or dynamically configuring the components. However, a major challenge in the safety-critical air traffic management (ATM) domain is to interconnect business services taking into account service level agreements regarding the underlying network infrastructures. In such domains, manual configuration...
Structured, spatial-temporal data arises in many applications areas such as transportation, sensor networks or mobile services. Peer to peer networks are the natural choice for the distributed architecture required by these applications. However, a closer analysis of the available distributed hash table (DHT) based approaches shows their inefficiency since the data structure gets lost and the short...
The capability to provide a platform for flexible business services in the air traffic management (ATM) domain is both a major success factor for the ATM industry and a challenge to integrate a large number of complex and heterogeneous information systems. Most of the system knowledge needed for integration is not available explicitly in machine-understandable form, resulting in time-consuming and...
The integration of heterogeneous data sources with even heterogeneous semantic meanings poses a challenge for data and system integrators. Ontology Alignment (OA) tries to identify similarities between heterogeneous ontologies and to automatically create suitable mappings for transformation. However, the usage of standard OA approach for safety-critical domains needs further investigation.In this...
Decision makers in safety-critical domains rely on data from dependable information systems. Traditional time- and safety-critical information systems, such as traffic management systems, have been using proprietary point-to-point data links, which are very dependable, but also time-consuming and costly to change due to the need to manually adapt a multitude of deployed systems. In this paper we introduce...
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