an event-centric provenance model for digital libraries @ ircdl 2010
TRANSCRIPT
IntroductionAn Event-Centric Model
Summary
An Event-Centric Provenance Model for DigitalLibraries
C. Tang D. Castelli L. Candela P. ManghiP. Pagano C. Thanos
Istituto di Scienza e Tecnologie dell’Informazione “A. Faedo” – CNR, Pisa - [email protected]
6th Italian Research Conference on Digital LibrariesPadua, Italy, 28-29 January 2010
C. Tang et al. An Event-Centric Provenance Model
IntroductionAn Event-Centric Model
Summary
Outline
1 IntroductionMotivations
2 An Event-Centric ModelThe ConstituentsExploiting the Model
C. Tang et al. An Event-Centric Provenance Model
IntroductionAn Event-Centric Model
SummaryMotivations
What is Provenance?
Some pseudo-definitions:
“a summary of the history and context of the data”
“the parts of the input that influenced (or that explain) apart of the output”
“the part of the input that shows where a part of the outputcame from”
“a causal graph that shows how a result was computed”
C. Tang et al. An Event-Centric Provenance Model
IntroductionAn Event-Centric Model
SummaryMotivations
What is Provenance?
Provenance is thus information aboutsource, derivation, influences, history
. . . of an objectprogram result, database query
In e-Science (thus in DLs), it is essential forefficiency, reproducibility, accountability, explanation, datacleaning, certifying scientific value of data
C. Tang et al. An Event-Centric Provenance Model
IntroductionAn Event-Centric Model
SummaryMotivations
What is the Problem?
Many models are being developed
Where-provenance, links output parts to equal input parts
Why-provenance, explains “why” some data appears in theresult
How-provenance, explains “how” a result was calculated
Workflow, describes result of a parallel/distributed program
. . . using different assumptions, e.g. system scope, program,granularityOur goal: develop a “non invasive” and “open” modelsupporting “provenance generation”
C. Tang et al. An Event-Centric Provenance Model
IntroductionAn Event-Centric Model
Summary
The ConstituentsExploiting the Model
The Idea
Add a layer dedicated to capture provenance-oriented data
Reference Objects
Information Objects
Events
C. Tang et al. An Event-Centric Provenance Model
IntroductionAn Event-Centric Model
Summary
The ConstituentsExploiting the Model
The Model
Event is a happening having an effect on a Reference Object<happenedTo> an Object
C. Tang et al. An Event-Centric Provenance Model
IntroductionAn Event-Centric Model
Summary
The ConstituentsExploiting the Model
The Model
Each Event has a Type for filtering purposes
C. Tang et al. An Event-Centric Provenance Model
IntroductionAn Event-Centric Model
Summary
The ConstituentsExploiting the Model
The Model
Description captures the “how” of the Event
C. Tang et al. An Event-Centric Provenance Model
IntroductionAn Event-Centric Model
Summary
The ConstituentsExploiting the Model
The Model
Place captures the “where” of the Event
C. Tang et al. An Event-Centric Provenance Model
IntroductionAn Event-Centric Model
Summary
The ConstituentsExploiting the Model
The Model
Time captures the “when” of the Event
C. Tang et al. An Event-Centric Provenance Model
IntroductionAn Event-Centric Model
Summary
The ConstituentsExploiting the Model
The Model
The Agent controls the Event
C. Tang et al. An Event-Centric Provenance Model
IntroductionAn Event-Centric Model
Summary
The ConstituentsExploiting the Model
The Model
Rationale captures the “why” of the Event
C. Tang et al. An Event-Centric Provenance Model
IntroductionAn Event-Centric Model
Summary
The ConstituentsExploiting the Model
The Model
The Parameter is any additional information
C. Tang et al. An Event-Centric Provenance Model
IntroductionAn Event-Centric Model
Summary
The ConstituentsExploiting the Model
The Model
Don’t reinvent the wheel!!!
C. Tang et al. An Event-Centric Provenance Model
IntroductionAn Event-Centric Model
Summary
The ConstituentsExploiting the Model
Computing the provenance
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C. Tang et al. An Event-Centric Provenance Model
IntroductionAn Event-Centric Model
Summary
The ConstituentsExploiting the Model
The granularity issue
High flexibility by relying on the Information Object relationships
Reference Objects
Information Objects
Events
part-of
C. Tang et al. An Event-Centric Provenance Model
IntroductionAn Event-Centric Model
Summary
The ConstituentsExploiting the Model
The AquaMaps scenario
AquaMaps is one of the VRE supported by the D4Sciencee-Infrastructure
Aggregate data on species from multiple and evolving datasources (e.g. OBIS, GBIF)Curate aggregated dataGenerate species distribution and biodiversity predictionmaps
C. Tang et al. An Event-Centric Provenance Model
IntroductionAn Event-Centric Model
Summary
The ConstituentsExploiting the Model
Example 1
Find the events occurred to the Salmon object
C. Tang et al. An Event-Centric Provenance Model
IntroductionAn Event-Centric Model
Summary
The ConstituentsExploiting the Model
Example 2
Find the contributors to the Salmon object
C. Tang et al. An Event-Centric Provenance Model
IntroductionAn Event-Centric Model
Summary
The ConstituentsExploiting the Model
Example 3
How to explain the existence of the Salmon object
C. Tang et al. An Event-Centric Provenance Model
IntroductionAn Event-Centric Model
Summary
Summary
Provenance is an essential feature in Digital Libraries andeScience scenarios
Many provenance models are being developed usingdifferent assumptions
A DL oriented provenance model that is event-based,“open” and “non invasive”Future steps
validation and consolidation of the model in the context ofnew DLs application scenariosimplementation of a infrastructural service realising themodel in the D4Science infrastructure
C. Tang et al. An Event-Centric Provenance Model
IntroductionAn Event-Centric Model
Summary
Summary
Provenance is an essential feature in Digital Libraries andeScience scenariosMany provenance models are being developed usingdifferent assumptionsA DL oriented provenance model that is event-based,“open” and “non invasive”Future steps
validation and consolidation of the model in the context ofnew DLs application scenariosimplementation of a infrastructural service realising themodel in the D4Science infrastructure
http://www.d4science.euhttp://www.dlorg.eu
C. Tang et al. An Event-Centric Provenance Model