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Extracting causal graphs from an open provenance data model

Extracting causal graphs from an open provenance data model
Extracting causal graphs from an open provenance data model
The open provenance architecture approach to the challenge was distinct in several regards. In particular, it allows different components of the challenge workflow to independently record documentation, and for the workflow to be executed in different environments, made possible by an open, well-defined data model and architecture. Another noticeable feature is that we distinguish between the data recorded about what has occurred, process documentation, and the provenance of a data item, which is all that caused the data item to be as it is. In this view, provenance is obtained as the result of a query over process documentation. This distinction allows us to tailor the system to best address the separate requirements of recording and querying documentation. Other notable features include the explicit recording of causal relationships between both events and data items, an interaction-based world model, intensional definition of data items in queries rather than relying on explicit naming mechanisms, and styling of documentation to support non-functional application requirements such as reducing storage costs or ensuring privacy of data. In this paper, we describe how each of these features aid us in answering the challenge's provenance queries. Copyright (C) 2007 John Wiley & Sons, Ltd.
577-586
Miles, S
568a5102-aae4-4a2d-8b10-bfcbe03dd909
Groth, P
1363ed00-a32f-4d26-9176-42f82376395f
Munroe, S
6fe0bb4e-b796-4ef1-bfd3-bb32b38019e0
Jiang, S
95b9670d-d2c2-465f-b254-8b46c7363087
Assandri, T
718c4e59-bdf4-407e-b5e2-700a4fc85543
Moreau, L
033c63dd-3fe9-4040-849f-dfccbe0406f8
Miles, S
568a5102-aae4-4a2d-8b10-bfcbe03dd909
Groth, P
1363ed00-a32f-4d26-9176-42f82376395f
Munroe, S
6fe0bb4e-b796-4ef1-bfd3-bb32b38019e0
Jiang, S
95b9670d-d2c2-465f-b254-8b46c7363087
Assandri, T
718c4e59-bdf4-407e-b5e2-700a4fc85543
Moreau, L
033c63dd-3fe9-4040-849f-dfccbe0406f8

Miles, S, Groth, P, Munroe, S, Jiang, S, Assandri, T and Moreau, L (2008) Extracting causal graphs from an open provenance data model. Concurrency and Computation: Practice & Experience, 20, 577-586. (doi:10.1002/cpe.1236).

Record type: Article

Abstract

The open provenance architecture approach to the challenge was distinct in several regards. In particular, it allows different components of the challenge workflow to independently record documentation, and for the workflow to be executed in different environments, made possible by an open, well-defined data model and architecture. Another noticeable feature is that we distinguish between the data recorded about what has occurred, process documentation, and the provenance of a data item, which is all that caused the data item to be as it is. In this view, provenance is obtained as the result of a query over process documentation. This distinction allows us to tailor the system to best address the separate requirements of recording and querying documentation. Other notable features include the explicit recording of causal relationships between both events and data items, an interaction-based world model, intensional definition of data items in queries rather than relying on explicit naming mechanisms, and styling of documentation to support non-functional application requirements such as reducing storage costs or ensuring privacy of data. In this paper, we describe how each of these features aid us in answering the challenge's provenance queries. Copyright (C) 2007 John Wiley & Sons, Ltd.

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miles-ccpe07 - Accepted Manuscript
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Published date: 2008
Additional Information: Imported from ISI Web of Science
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 269197
URI: http://eprints.soton.ac.uk/id/eprint/269197
PURE UUID: 3d13b154-2924-41d7-a4f3-0b8d3468c78a
ORCID for L Moreau: ORCID iD orcid.org/0000-0002-3494-120X

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Date deposited: 21 Apr 2010 07:46
Last modified: 14 Mar 2024 09:15

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Contributors

Author: S Miles
Author: P Groth
Author: S Munroe
Author: S Jiang
Author: T Assandri
Author: L Moreau ORCID iD

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