Provenance is a well understood concept in the study of ?ne art, where it refers to the documented history of an art object. Given that documented history, the objectattains anauthority that allows scholarsto understandand appreciateits importance and context relative to other works. In the absence of such history, art objects may be treated with some skepticism by those who study and view them. Over the last few years, a number of teams have been applying this concept of provenance to data and information generated within computer systems. If the provenance of data produced by computer systems can be determined as it can for some works of art, then users will be able to understand (for example) how documents were assembled, how simulation results were determined, and how ?nancial analyses were carried out. A key driver for this research has been e-Science. Reproducibility of results and documentation of method have always been important concerns in science, and today scientists of many ?elds (such as bioinformatics, medical research, chemistry, and physics) see provenanceas a mechanism that can help repeat s- enti?cexperiments,verifyresults,andreproducedataproducts.Likewise,pro- nance o?ers opportunities for the business world, since it allows for the analysis of processes that led to results, for instance to check they are well-behaved or satisfy constraints; hence, provenance o?ers the means to check compliance of processes,on the basis of their actual execution. Indeed, increasing regulation of many industries (for example, ?nancial services) means that provenance reco- ing is becoming a legal requirement.
Author(s): Roger S. Barga, Luciano A. Digiampietri (auth.), Luc Moreau, Ian Foster (eds.)
Series: Lecture Notes in Computer Science 4145 : Information Systems and Applications, incl. Internet/Web, and HCI
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2006
Language: English
Pages: 292
Tags: Information Storage and Retrieval; Information Systems Applications (incl.Internet); Operating Systems; Computers and Society; Management of Computing and Information Systems; Multimedia Information Systems
Front Matter....Pages -
Automatic Generation of Workflow Provenance....Pages 1-9
Managing Rapidly-Evolving Scientific Workflows....Pages 10-18
Virtual Logbooks and Collaboration in Science and Software Development....Pages 19-27
Applying Provenance in Distributed Organ Transplant Management....Pages 28-36
Provenance Implementation in a Scientific Simulation Environment....Pages 37-45
Towards Low Overhead Provenance Tracking in Near Real-Time Stream Filtering....Pages 46-54
Enabling Provenance on Large Scale e-Science Applications....Pages 55-63
Harvesting RDF Triples....Pages 64-72
Mapping Physical Formats to Logical Models to Extract Data and Metadata: The Defuddle Parsing Engine....Pages 73-81
Annotation and Provenance Tracking in Semantic Web Photo Libraries....Pages 82-89
Metadata Catalogs with Semantic Representations....Pages 90-100
Combining Provenance with Trust in Social Networks for Semantic Web Content Filtering....Pages 101-108
Recording Actor State in Scientific Workflows....Pages 109-117
Provenance Collection Support in the Kepler Scientific Workflow System....Pages 118-132
A Model for User-Oriented Data Provenance in Pipelined Scientific Workflows....Pages 133-147
Applying the Virtual Data Provenance Model....Pages 148-161
A Provenance Model for Manually Curated Data....Pages 162-170
Issues in Automatic Provenance Collection....Pages 171-183
Electronically Querying for the Provenance of Entities....Pages 184-192
AstroDAS: Sharing Assertions Across Astronomy Catalogues Through Distributed Annotation....Pages 193-202
Security Issues in a SOA-Based Provenance System....Pages 203-211
Implementing a Secure Annotation Service....Pages 212-221
Performance Evaluation of the Karma Provenance Framework for Scientific Workflows....Pages 222-236
Exploring Provenance in a Distributed Job Execution System....Pages 237-245
gLite Job Provenance....Pages 246-253
An Identity Crisis in the Life Sciences....Pages 254-269
CombeChem: A Case Study in Provenance and Annotation Using the Semantic Web....Pages 270-277
Principles of High Quality Documentation for Provenance: A Philosophical Discussion....Pages 278-286
Back Matter....Pages -
