Provenance Querying for End-Users: A Drug Resistance Case Study

Authors:
Bartosz Baliś;Marian Bubak;Michal Pelczar;Jakub Wach
Affiliations:
Institute of Computer Science, AGH, Poland and Academic Computer Centre CYFRONET, Poland;Institute of Computer Science, AGH, Poland and Academic Computer Centre CYFRONET, Poland;Academic Computer Centre CYFRONET, Poland;Academic Computer Centre CYFRONET, Poland
Venue:
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part III
Year:
2008

Citing 10
Cited 1

From Molecule to Man: Decision Support in Individualized E-Health

Computer
Grid-enabling data mining applications with DataMiningGrid: An architectural perspective

Future Generation Computer Systems
From Monitoring Data to Experiment Information - Monitoring of Grid Scientific Workflows

E-SCIENCE '07 Proceedings of the Third IEEE International Conference on e-Science and Grid Computing
User-Oriented Querying over Repositories of Data and Provenance

E-SCIENCE '07 Proceedings of the Third IEEE International Conference on e-Science and Grid Computing
Query capabilities of the Karma provenance framework

Concurrency and Computation: Practice & Experience - The First Provenance Challenge
Mining Taverna's semantic web of provenance

Concurrency and Computation: Practice & Experience - The First Provenance Challenge
Special Issue: The First Provenance Challenge

Concurrency and Computation: Practice & Experience - The First Provenance Challenge
Provenance tracking in the virolab virtual laboratory

PPAM'07 Proceedings of the 7th international conference on Parallel processing and applied mathematics
A model for user-oriented data provenance in pipelined scientific workflows

IPAW'06 Proceedings of the 2006 international conference on Provenance and Annotation of Data
Applying the virtual data provenance model

IPAW'06 Proceedings of the 2006 international conference on Provenance and Annotation of Data

The Foundations for Provenance on the Web

Foundations and Trends in Web Science

Quantified Score

Hi-index	0.00

Visualization

Abstract

We present a provenance model based on ontology representation of execution records of in silico experiments. The ontologies describe the execution of experiments, and the semantics of data and computations used during the execution. This model enables query construction in an end-user oriented manner, i.e. by using terms of the scientific domain familiar to researchers, instead of complex query languages. The presented approach is evaluated on a case study Drug Resistance Application exploited in the ViroLab virtual laboratory. We analyze the query capabilities of the presented provenance model. We also describe the process of ontology-based query construction and evaluation.