TY - GEN
T1 - Approaches for exploring and querying scientific workflow provenance graphs
AU - Anand, Manish Kumar
AU - Bowers, Shawn
AU - Altintas, Ilkay
AU - Ludäscher, Bertram
PY - 2010
Y1 - 2010
N2 - While many scientific workflow systems track and record data provenance, few tools have been developed that provide convenient and effective ways to access and explore this information. Two important ways for provenance information to be accessed and explored is through browsing (i.e., visualizing and navigating data and process dependencies) and querying (e.g., to select certain portions of provenance graphs or to determine if certain paths exist between items within a graph). We extend our prior work on representing and querying data provenance by showing how these can be effectively and efficiently combined into an interactive provenance browser. The browser allows different views of provenance to be explored and queried, where queries are expressed in a declarative graph-based provenance query language. Query results are expressed as provenance subgraphs, which can be further visualized and navigated through the browser. The browser supports a generic model of provenance that can be used with various workflow computation models, and has a direct translation to the Open Provenance Model. We present the provenance model, the query language, and describe the overall browser architecture and implementation.
AB - While many scientific workflow systems track and record data provenance, few tools have been developed that provide convenient and effective ways to access and explore this information. Two important ways for provenance information to be accessed and explored is through browsing (i.e., visualizing and navigating data and process dependencies) and querying (e.g., to select certain portions of provenance graphs or to determine if certain paths exist between items within a graph). We extend our prior work on representing and querying data provenance by showing how these can be effectively and efficiently combined into an interactive provenance browser. The browser allows different views of provenance to be explored and queried, where queries are expressed in a declarative graph-based provenance query language. Query results are expressed as provenance subgraphs, which can be further visualized and navigated through the browser. The browser supports a generic model of provenance that can be used with various workflow computation models, and has a direct translation to the Open Provenance Model. We present the provenance model, the query language, and describe the overall browser architecture and implementation.
UR - http://www.scopus.com/inward/record.url?scp=78651111618&partnerID=8YFLogxK
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U2 - 10.1007/978-3-642-17819-1_3
DO - 10.1007/978-3-642-17819-1_3
M3 - Conference contribution
AN - SCOPUS:78651111618
SN - 3642178189
SN - 9783642178184
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 17
EP - 26
BT - Provenance and Annotation of Data and Processes - Third International Provenance and Annotation Workshop, IPAW 2010, Revised Selected Papers
T2 - 3rd International Provenance and Annotation Workshop, IPAW 2010
Y2 - 15 June 2010 through 16 June 2010
ER -