System Transparency, or How I Learned to Worry about Meaning and Love Provenance! View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2010

AUTHORS

Stephan Zednik , Peter Fox , Deborah L. McGuinness

ABSTRACT

Web-based science analysis and processing tools allow users to access, analyze, and generate visualizations of data without requiring the user be an expert in data processing. These tools simplify science analysis for all science users by reducing the data processing overhead for the user. The benefits of these tools come with a cost, the increased need for transparency in data processing. By providing a clear explanation of the science concepts and processing performed by the science analysis tool we can increase user trust, understanding, and accountability and reduce misinterpretation or generation of inconsistent results. We will demonstrate knowledge provenance (processing lineage and related domain information) presentation capabilities applied to an existing web-based Earth science data analysis tool (e.g. Giovanni from NASA/GSFC). Our conclusion is that user accessible visual presentations of knowledge provenance are key to building meaningful user understanding of analysis and processing decisions and should be a key component of data analysis tools. More... »

PAGES

165-173

Book

TITLE

Provenance and Annotation of Data and Processes

ISBN

978-3-642-17818-4
978-3-642-17819-1

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-17819-1_19

DOI

http://dx.doi.org/10.1007/978-3-642-17819-1_19

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1026740373


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