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Service-Oriented Development of Workflow-Based Semantic Reasoning Applications
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Author(s): Alexey Cheptsov (High Performance Computing Center Stuttgart (HLRS), Stuttgart, Germany), Stefan Wesner (Institute of Organisation and Management, University of Ulm, Ulm, Germany)and Bastian Koller (High Performance Computing Center Stuttgart (HLRS), Stuttgart, Germany)
Copyright: 2014
Volume: 5
Issue: 1
Pages: 14
Source title:
International Journal of Distributed Systems and Technologies (IJDST)
Editor(s)-in-Chief: Nik Bessis (Edge Hill University, UK)
DOI: 10.4018/ijdst.2014010103
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Abstract
The modern Semantic Web scenarios require reasoning algorithms to be flexible, modular, and highly-configurable. A solid approach, followed in the design of the most currently existing reasoners, is not sufficient when dealing with today's challenges of data analysis across multiple sources of heterogeneous data or when the data amount grows to the “Big Data” sizes. The “reasoning as a workflow” concept has attracted a lot of attention in the design of new-generation Semantic Web applications, offering a lot of opportunities to improve both flexibility and scalability of the reasoning process. Considering a single workflow component as a service offers a lot of opportunities for a reasoning algorithm to target a much wider range of potentially enabled Semantic Web use cases by taking benefits of a service-oriented and component-based implementation. We introduce a technique for developing service-oriented Semantic Reasoning applications based on the workflow concept. We also present the Large Knowledge Collider - a software platform for developing workflow-based Semantic Web applications, taking advantages of on-demand high performance computing and cloud infrastructures.
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