A Framework for Provenance Analysis and Visualization | Zendy

Weiner de Oliveira | Zendy; Lenitta M. Ambrósio | Zendy; Regina Braga | Zendy; Victor Ströele | Zendy; José David | Zendy; Fernanda Campos | Zendy

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A Framework for Provenance Analysis and Visualization

Author(s) -

Weiner de Oliveira,

Lenitta M. Ambrósio,

Regina Braga,

Victor Ströele,

José David,

Fernanda Campos

Publication year - 2017

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2017.05.216

Subject(s) - computer science , visualization , data science , provenance , graph , process (computing) , software , e science , ontology , data visualization , information retrieval , data mining , theoretical computer science , grid , epistemology , programming language , geology , petrology , philosophy , geometry , mathematics , operating system

Data provenance is a fundamental concept in scientific experimentation. However, for their proper understanding and use, efficient and user-friendly mechanisms are needed. Research in software visualization, ontologies and complex networks can help in this process. This paper presents a framework to assist in the understanding and use of data provenance using visualization techniques, ontologies and complex networks. The framework capture the provenance data and generates new information using ontologies and provenance graph analysis. The graph is analyzed through complex networks techniques and provide some metrics to help in each node analyzes. The visualization presents and highlights the inferences and results. The framework was used in the E-SECO scientific ecosystem to support the scientific experimentation.

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