SIGMOD '86 Proceedings of the 1986 ACM SIGMOD international conference on Management of data
Hypothetical datalog: complexity and expressibility
Theoretical Computer Science
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
Knowledge representation: logical, philosophical and computational foundations
Knowledge representation: logical, philosophical and computational foundations
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
Conceptual Modeling for Traditional and Spatio-Temporal Applications: The MADS Approach
Conceptual Modeling for Traditional and Spatio-Temporal Applications: The MADS Approach
QEF - Supporting Complex Query Applications
CCGRID '07 Proceedings of the Seventh IEEE International Symposium on Cluster Computing and the Grid
Tracking provenance in a virtual data grid
Concurrency and Computation: Practice & Experience - The First Provenance Challenge
Provenance for Computational Tasks: A Survey
Computing in Science and Engineering
Towards a Scientific Model Management System
ER '08 Proceedings of the ER 2008 Workshops (CMLSA, ECDM, FP-UML, M2AS, RIGiM, SeCoGIS, WISM) on Advances in Conceptual Modeling: Challenges and Opportunities
A demonstration of SciDB: a science-oriented DBMS
Proceedings of the VLDB Endowment
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In-silico scientific research is a complex task that involves the management of huge volumes of data and metadata produced during the scientific exploration life cycle, from hypothesis formulation up to its final validation. This wealth of data needs to be structured and managed in a way that readily makes sense to scientists, so that relevant knowledge may be extracted to contribute to the scientific investigation process. This paper proposes a scientific hypothesis conceptual model that allows scientists to represent the phenomenon been investigated, the hypotheses formulated in the attempt to explain it, and provides the ability to store results of experiment simulations with their corresponding provenance metadata. The proposed model supports scientific life-cycle: provenance, scientists exchange of information, experiment reproducibility, model steering and results analyses. A cardiovascular numerical simulation illustrates the applicability of the model and an initial implementation using SciDB is discussed.