Semantic Matching, Propagation and Transformation for Composition in Component-Based Systems

Eric Bouillet; Mark Feblowitz; Zhen Liu; Anand Ranganathan; Anton Riabov

doi:10.4018/jssci.2009010103

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Semantic Matching, Propagation and Transformation for Composition in Component-Based Systems

Eric Bouillet (IBM Research, USA), Mark Feblowitz (IBM Research, USA), Zhen Liu (IBM Research, USA), Anand Ranganathan (IBM Research, USA) and Anton Riabov (IBM Research, USA)

Source Title: International Journal of Software Science and Computational Intelligence (IJSSCI) 1(1)

DOI: 10.4018/jssci.2009010103

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Abstract

Composition of software applications from component parts in response to high-level goals is a long-standing and highly challenging goal. We target the problem of composition in flow-based information processing systems and demonstrate how application composition and component development can be facilitated by the use of semantically described application metadata. The semantic metadata describe both the data flowing through each application and the processing performed in the associated application code. In this paper, we explore some of the key features of the semantic model, including the matching of outputs to input requirements, and the transformation and the propagation of semantic properties by components

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Semantic Matching, Propagation and Transformation for Composition in Component-Based Systems

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