is a new type of scientific research based on the collaboration within a number of scientific areas, enabled by a next generation infrastructure, wherein people, computing resources, data and instruments are brought together to bring a new quality to the everyday work of researchers.
Published in Chapter:
Provenance Tracking and End-User Oriented Query Construction
Bartosz Balis (Institute of Computer Science AGH, Poland), Marian Bubak (Institute of Computer Science AGH, Poland and University of Amsterdam, The Netherlands), Michal Pelczar (ACC CYFRONET AGH, Poland), and Jakub Wach (ACC CYFRONET AGH, Poland)
Copyright: © 2009
|Pages: 16
DOI: 10.4018/978-1-60566-374-6.ch004
Abstract
Provenance tracking is an indispensable element of each e-Science infrastructure for conducting in silico experiments. However, enabling end-users who are non-IT experts to query provenance and experiment data in a meaningful way is equally important. The authors propose an ontology-based provenance model which captures the execution of in silico experiments, as well as domain-specific semantics of data and computations used in those experiments. They demonstrate how ontologies can serve as inter-lingua for end-users, provenance tracking system, and query tools. Query Translation Tools (QUaTRO), enabling end-user oriented, ontology-guided visual querying over provenance records and experiment data, are also presented. In those tools, they also show how the ontology models enable semantic information integration of provenance metadata and experiment data, enabling queries capable of exploring the structure of provenance and associated experiment data. Their approach is demonstrated on a Drug Resistance application deployed in the ViroLab Project.