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Enabling the Definition and Reuse of Multi-Domain Workflow-Based Data Analysis

  • Rubén Salado-Cid
  • José Raúl Romero
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 557)

Abstract

Data analysis applications have become essential to extract significant insight from heterogeneous data sources. However, their development requires technical expertise in computer science techniques like data mining, making its broad adoption by non-experts difficult. In this context, workflows have emerged as a high-level solution to define and automate the sequence of steps involved in the data analysis process, hiding the low-level computational requirements. Existing workflow systems have some difficulties related to their complexity to adapt the provided elements and their inability to reuse workflow definitions. To address these problems, a novel framework for creating customized, ready-to-use and interoperable workflow systems is proposed and prototyped in this paper. Its multi-layer architecture has been designed on the basis of the separation of concerns and the reuse of knowledge assets. As a result, the presented approach allows reducing the time-to-market and saving development costs.

Keywords

Data analysis Workflow management system Process automation 

Notes

Acknowledgments

Work supported by the Spanish Government, project TIN2014-55252-P.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Department of Computer Science and Numerical AnalysisUniversity of CórdobaCórdobaSpain

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