Data Set Used
In this paper we describe the Business Process Modelling Ontology (BPMO), which is part of an approach to modelling business processes at the semantic level, integrating knowledge about the organisational context, workflow activities and Semantic Web Services. We harness knowledge representation and reasoning techniques so that business process workflows… (More)
Much recent work in SOA has concentrated on documenting reference architectures. In this paper we present ongoing work on the establishment of such an architecture within the OASIS SEE TC, detailing how the benefits of semantic Web services can be applied to SOA and the role of semantic execution environments, such as the IRS and WSMX. Zusammenfassung Viel… (More)
Semantic Business Process Management (SBPM) has been proposed as an extension of BPM with Semantic Web and Semantic Web Services (SWS) technologies in order to increase and enhance the level of automation that can be achieved within the BPM life-cycle. In a nutshell, SBPM is based on the extensive and exhaustive conceptual-ization of the BPM domain so as to… (More)
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The idea of service orientation envisions dynamic detection and execution of suitable Web services for solving a particular request. Most realization approaches pay only little attention to the client side of such architectures. We therefore promote a goal-driven approach: a client merely specifies the objective to be achieved in terms of a goal, and the… (More)
The establishment of Linked Data principles has ushered in a remarkable new era of widespread semantics-based interoperation. In particular, the use of RDF, SPARQL and HTTP allows for a high degree of generic tool support and lightweight composition of data sources. This rosy picture, however, mainly applies to static data. When it comes to dynamics-both… (More)
Digital signal processing and control (DSPC) tools allow application developers to assemble systems by connecting predefined components in signal–flow graphs and by hierarchically building new components via encapsulating sub–graphs. Run–time environments then dynamically schedule components for execution on some embedded processor , typically in a… (More)