Analyzing provenance across heterogeneous provenance graphs

Wellington Oliveira; Paolo Missier; Kary Ocaña; Daniel de Oliveira; Vanessa Braganholo

doi:10.1007/978-3-319-40593-3_5

Analyzing provenance across heterogeneous provenance graphs

Wellington Oliveira^*, Paolo Missier, Kary Ocaña, Daniel de Oliveira, Vanessa Braganholo

^*Corresponding author for this work

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Provenance generated by different workflow systems is generally expressed using different formats. This is not an issue when scientists analyze provenance graphs in isolation, or when they use the same workflow system. However, when analyzing heterogeneous provenance graphs from multiple systems poses a challenge. To address this problem we adopt ProvONE as an integration model, and show how different provenance databases can be converted to a global ProvONE schema. Scientists can then query this integrated database, exploring and linking provenance across several different workflows that may represent different implementations of the same experiment. To illustrate the feasibility of our approach, we developed conceptual mappings between the provenance databases of two workflow systems (e-Science Central and SciCumulus). We provide cartridges that implement these mappings and generate an integrated provenance database expressed as Prolog facts. To demonstrate its usage, we have developed Prolog rules that enable scientists to query the integrated database.

Original language	English
Title of host publication	Provenance and Annotation of Data and Processes - 6th International Provenance and Annotation Workshop, IPAW 2016, Proceedings
Editors	Boris Glavic, Marta Mattoso
Publisher	Springer Verlag
Pages	57-70
Number of pages	14
ISBN (Print)	9783319405926
DOIs	https://doi.org/10.1007/978-3-319-40593-3_5
Publication status	Published - 2016
Event	6th International Provenance and Annotation Workshop, IPAW 2016 - McLean, United States Duration: 7 Jun 2016 → 8 Jun 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9672
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	6th International Provenance and Annotation Workshop, IPAW 2016
Country/Territory	United States
City	McLean
Period	7/06/16 → 8/06/16

Bibliographical note

Publisher Copyright:
© Springer International Publishing Switzerland 2016.

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-319-40593-3_5

Cite this

Oliveira, W., Missier, P., Ocaña, K., de Oliveira, D., & Braganholo, V. (2016). Analyzing provenance across heterogeneous provenance graphs. In B. Glavic, & M. Mattoso (Eds.), Provenance and Annotation of Data and Processes - 6th International Provenance and Annotation Workshop, IPAW 2016, Proceedings (pp. 57-70). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9672). Springer Verlag. https://doi.org/10.1007/978-3-319-40593-3_5

Oliveira, Wellington ; Missier, Paolo ; Ocaña, Kary et al. / Analyzing provenance across heterogeneous provenance graphs. Provenance and Annotation of Data and Processes - 6th International Provenance and Annotation Workshop, IPAW 2016, Proceedings. editor / Boris Glavic ; Marta Mattoso. Springer Verlag, 2016. pp. 57-70 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Analyzing provenance across heterogeneous provenance graphs",

abstract = "Provenance generated by different workflow systems is generally expressed using different formats. This is not an issue when scientists analyze provenance graphs in isolation, or when they use the same workflow system. However, when analyzing heterogeneous provenance graphs from multiple systems poses a challenge. To address this problem we adopt ProvONE as an integration model, and show how different provenance databases can be converted to a global ProvONE schema. Scientists can then query this integrated database, exploring and linking provenance across several different workflows that may represent different implementations of the same experiment. To illustrate the feasibility of our approach, we developed conceptual mappings between the provenance databases of two workflow systems (e-Science Central and SciCumulus). We provide cartridges that implement these mappings and generate an integrated provenance database expressed as Prolog facts. To demonstrate its usage, we have developed Prolog rules that enable scientists to query the integrated database.",

author = "Wellington Oliveira and Paolo Missier and Kary Oca{\~n}a and {de Oliveira}, Daniel and Vanessa Braganholo",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 6th International Provenance and Annotation Workshop, IPAW 2016 ; Conference date: 07-06-2016 Through 08-06-2016",

year = "2016",

doi = "10.1007/978-3-319-40593-3_5",

language = "English",

isbn = "9783319405926",

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Oliveira, W, Missier, P, Ocaña, K, de Oliveira, D & Braganholo, V 2016, Analyzing provenance across heterogeneous provenance graphs. in B Glavic & M Mattoso (eds), Provenance and Annotation of Data and Processes - 6th International Provenance and Annotation Workshop, IPAW 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9672, Springer Verlag, pp. 57-70, 6th International Provenance and Annotation Workshop, IPAW 2016, McLean, United States, 7/06/16. https://doi.org/10.1007/978-3-319-40593-3_5

Analyzing provenance across heterogeneous provenance graphs. / Oliveira, Wellington; Missier, Paolo; Ocaña, Kary et al.
Provenance and Annotation of Data and Processes - 6th International Provenance and Annotation Workshop, IPAW 2016, Proceedings. ed. / Boris Glavic; Marta Mattoso. Springer Verlag, 2016. p. 57-70 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9672).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Analyzing provenance across heterogeneous provenance graphs

AU - Oliveira, Wellington

AU - Missier, Paolo

AU - Ocaña, Kary

AU - de Oliveira, Daniel

AU - Braganholo, Vanessa

PY - 2016

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AB - Provenance generated by different workflow systems is generally expressed using different formats. This is not an issue when scientists analyze provenance graphs in isolation, or when they use the same workflow system. However, when analyzing heterogeneous provenance graphs from multiple systems poses a challenge. To address this problem we adopt ProvONE as an integration model, and show how different provenance databases can be converted to a global ProvONE schema. Scientists can then query this integrated database, exploring and linking provenance across several different workflows that may represent different implementations of the same experiment. To illustrate the feasibility of our approach, we developed conceptual mappings between the provenance databases of two workflow systems (e-Science Central and SciCumulus). We provide cartridges that implement these mappings and generate an integrated provenance database expressed as Prolog facts. To demonstrate its usage, we have developed Prolog rules that enable scientists to query the integrated database.

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Provenance and Annotation of Data and Processes - 6th International Provenance and Annotation Workshop, IPAW 2016, Proceedings

A2 - Glavic, Boris

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Y2 - 7 June 2016 through 8 June 2016

ER -

Oliveira W, Missier P, Ocaña K, de Oliveira D, Braganholo V. Analyzing provenance across heterogeneous provenance graphs. In Glavic B, Mattoso M, editors, Provenance and Annotation of Data and Processes - 6th International Provenance and Annotation Workshop, IPAW 2016, Proceedings. Springer Verlag. 2016. p. 57-70. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-40593-3_5

Analyzing provenance across heterogeneous provenance graphs

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus subject areas

Access to Document

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Cite this