Principles of database and knowledge-base systems, Vol. I
Principles of database and knowledge-base systems, Vol. I
Hypothetical datalog: complexity and expressibility
Theoretical Computer Science
Fundamentals of database systems (2nd ed.)
Fundamentals of database systems (2nd ed.)
Toward principles for the design of ontologies used for knowledge sharing
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
Designing and mining multi-terabyte astronomy archives: the Sloan Digital Sky Survey
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Query Optimization in the Presence of Foreign Functions
VLDB '93 Proceedings of the 19th International Conference on Very Large Data Bases
A Practical Approach to Hypothetical Database Queries
ILPS '97 International Seminar on Logic Databases and the Meaning of Change, Transactions and Change in Logic Databases
Description logic programs: combining logic programs with description logic
WWW '03 Proceedings of the 12th international conference on World Wide Web
Kepler: An Extensible System for Design and Execution of Scientific Workflows
SSDBM '04 Proceedings of the 16th International Conference on Scientific and Statistical Database Management
A Finite Model Theory for Biological Hypotheses
CSB '04 Proceedings of the 2004 IEEE Computational Systems Bioinformatics Conference
Evaluation of BPEL to Scientific Workflows
CCGRID '06 Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid
VisTrails: visualization meets data management
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Taverna: lessons in creating a workflow environment for the life sciences: Research Articles
Concurrency and Computation: Practice & Experience - Workflow in Grid Systems
QEF - Supporting Complex Query Applications
CCGRID '07 Proceedings of the Seventh IEEE International Symposium on Cluster Computing and the Grid
Designing the myExperiment Virtual Research Environment for the Social Sharing of Workflows
E-SCIENCE '07 Proceedings of the Third IEEE International Conference on e-Science and Grid Computing
Automatic capture and efficient storage of e-Science experiment provenance
Concurrency and Computation: Practice & Experience - The First Provenance Challenge
Tracking provenance in a virtual data grid
Concurrency and Computation: Practice & Experience - The First Provenance Challenge
Provenance and scientific workflows: challenges and opportunities
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Provenance for Computational Tasks: A Survey
Computing in Science and Engineering
| Hi-index | 0.00 |
New instruments and techniques used in capturing scientific data are exponentially increasing the volume of data consumed by insilico research, which has been usually referred to as data deluge. Once captured, scientific data goes through a cleaning workflow before getting ready for analysis that will eventually confirm the scientist's hypothesis. The whole process is, nevertheless, complex and takes the focus of the scientist's attention away from his/her research and towards solving the complexity associated with managing computing products. Moreover, as the research evolves, references to previous results and workflows are needed as source of provenance data. Based on these observations, we claim that in-silico experiments must be supported by a hypotheses data model that describes the elements involved in a scientific exploration and supports hypotheses assessment. Adopting a data perspective to represent hypotheses allow high-level references to experiments and provides support for hypotheses evolution. The data model drives the proposal of a data management system that would support scientists in describing, running simulations and interpreting their results.