Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/88004
Type: Artigo de evento
Title: Provenance-based Quality Assessment And Inference In Data-centric Workflow Executions
Author: Caron C.
Amann B.
Constantin C.
Giroux P.
Santanche A.
Abstract: In this article we present a rule-based quality model for data centric workflows. The goal is to build a tool assisting workflow designers and users in annotating, exploring and improving the quality of data produced by complex media mining workflow executions. Our approach combines an existing fine-grained provenance generation approach [3] with a new quality assessment model for annotating XML fragments with data/application-specific quality values and inferring new values from existing annotations and provenance dependencies. We define the formal semantics using an appropriate fixpoint operator and illustrate how it can be implemented using standard Jena inference rules provided by current semantic web infrastructures.
Editor: Springer Verlag
Rights: fechado
Identifier DOI: 
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-84909998879&partnerID=40&md5=5595dceb5a45b2f3f444e9fba35c73f9
Date Issue: 2014
Appears in Collections:Unicamp - Artigos e Outros Documentos

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