Subsumption in KL-ONE is undecidable
Proceedings of the first international conference on Principles of knowledge representation and reasoning
Estimating DNA sequence entropy
SODA '00 Proceedings of the eleventh annual ACM-SIAM symposium on Discrete algorithms
Verification support for workflow design with UML activity graphs
Proceedings of the 24th International Conference on Software Engineering
DCC '99 Proceedings of the Conference on Data Compression
Set-Based Access Conflicts Analysis of Concurrent Workflow Definition
CODAS '01 Proceedings of the Third International Symposium on Cooperative Database Systems for Advanced Applications
CSB '03 Proceedings of the IEEE Computer Society Conference on Bioinformatics
Lineage retrieval for scientific data processing: a survey
ACM Computing Surveys (CSUR)
A Provenance-Aware Weighted Fault Tolerance Scheme for Service-Based Applications
ISORC '05 Proceedings of the Eighth IEEE International Symposium on Object-Oriented Real-Time Distributed Computing
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
International Journal of High Performance Computing Applications
A survey of data provenance in e-science
ACM SIGMOD Record
Behavioural specification of grid services with the KAoS policy language
CCGRID '05 Proceedings of the Fifth IEEE International Symposium on Cluster Computing and the Grid (CCGrid'05) - Volume 2 - Volume 02
Scientific Programming - AxGrids 2004
Recording and using provenance in a protein compressibility experiment
HPDC '05 Proceedings of the High Performance Distributed Computing, 2005. HPDC-14. Proceedings. 14th IEEE International Symposium
Digital Preservation of Scientific Data
ECDL '08 Proceedings of the 12th European conference on Research and Advanced Technology for Digital Libraries
A model of process documentation to determine provenance in mash-ups
ACM Transactions on Internet Technology (TOIT)
Using a Grid for Digital Preservation
ICADL 08 Proceedings of the 11th International Conference on Asian Digital Libraries: Universal and Ubiquitous Access to Information
Data Lineage Model for Taverna Workflows with Lightweight Annotation Requirements
Provenance and Annotation of Data and Processes
Challenges on preserving scientific data with data grids
Proceedings of the 1st ACM workshop on Data grids for eScience
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
e-BioFlow: improving practical use of workflow systems in bioinformatics
ITBAM'10 Proceedings of the First international conference on Information technology in bio- and medical informatics
The Foundations for Provenance on the Web
Foundations and Trends in Web Science
Achieving reproducibility by combining provenance with service and workflow versioning
Proceedings of the 6th workshop on Workflows in support of large-scale science
An ontological formulation and an OPM profile for causality in planning applications
JIST'11 Proceedings of the 2011 joint international conference on The Semantic Web
Toward the modeling of data provenance in scientific publications
Computer Standards & Interfaces
Formal verification of data provenance records
ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part I
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E-science experiments typically involve many distributed services maintained by different organisations. After an experiment has been executed, it is useful for a scientist to verify that the execution was performed correctly or is compatible with some existing experimental criteria or standards, not necessarily anticipated prior to execution. Scientists may also want to review and verify experiments performed by their colleagues. There are no existing frameworks for validating such experiments in today's e-science systems. Users therefore have to rely on error checking performed by the services, or adopt other ad hoc methods. This paper introduces a platform-independent framework for validating workflow executions. The validation relies on reasoning over the documented provenance of experiment results and semantic descriptions of services advertised in a registry. This validation process ensures experiments are performed correctly, and thus results generated are meaningful. The framework is tested in a bioinformatics application that performs protein compressibility analysis.