Abstract
Accumulated volumes of semantically annotated data which are distributed over the Internet deliver a valuable source of material for computational-intensive scientific experiments according to E-Science paradigm. However, the diversity of Linked Open Data sources and ontological structures within these structures raise a problem of search, extraction and import of relevant data from third-party endpoints. In this paper we present a solution, which helps users to create workflow-based applications with LOD-data without manual typing SPARQL queries. The solution is a functional extension for Virtual Simulation Objects toolbox [1]. Its concept and technology propose knowledge-based composite application design process. We describe LOD-data import process, which is implemented with “generic pattern” specification. A faceted browsing tool with basic filtration mechanisms was used in the experiments and a use-case from meteorology domain was also presented.
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Smirnov, P.A., Kovalchuk, S.V. (2014). Linked-Data Integration for Workflow-Based Computational Experiments. In: Klinov, P., Mouromtsev, D. (eds) Knowledge Engineering and the Semantic Web. KESW 2014. Communications in Computer and Information Science, vol 468. Springer, Cham. https://doi.org/10.1007/978-3-319-11716-4_15
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DOI: https://doi.org/10.1007/978-3-319-11716-4_15
Publisher Name: Springer, Cham
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