Sweetening Ontologies with DOLCE
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
Design Patterns: Abstraction and Reuse of Object-Oriented Design
ECOOP '93 Proceedings of the 7th European Conference on Object-Oriented Programming
A taxonomy of scientific workflow systems for grid computing
ACM SIGMOD Record
Enabling ScientificWorkflow Reuse through Structured Composition of Dataflow and Control-Flow
ICDEW '06 Proceedings of the 22nd International Conference on Data Engineering Workshops
Concurrency and Computation: Practice & Experience - Workflow in Grid Systems
Scientific workflow management and the Kepler system: Research Articles
Concurrency and Computation: Practice & Experience - Workflow in Grid Systems
Pegasus: A framework for mapping complex scientific workflows onto distributed systems
Scientific Programming
ASKALON: A Grid Application Development and Computing Environment
GRID '05 Proceedings of the 6th IEEE/ACM International Workshop on Grid Computing
Automatic annotation of Web services based on workflow definitions
ACM Transactions on the Web (TWEB)
The myGrid ontology: bioinformatics service discovery
International Journal of Bioinformatics Research and Applications
Metadata Management in the Taverna Workflow System
CCGRID '08 Proceedings of the 2008 Eighth IEEE International Symposium on Cluster Computing and the Grid
Flexible and Efficient Workflow Deployment of Data-Intensive Applications On Grids With MOTEUR
International Journal of High Performance Computing Applications
Scientific workflow design for mere mortals
Future Generation Computer Systems
Future Generation Computer Systems
A data-driven workflow language for grids based on array programming principles
Proceedings of the 4th Workshop on Workflows in Support of Large-Scale Science
Prospective and Retrospective Provenance Collection in Scientific Workflow Environments
SCC '10 Proceedings of the 2010 IEEE International Conference on Services Computing
Scientific Workflow Development Using Both Visual and Script-Based Representation
SERVICES '10 Proceedings of the 2010 6th World Congress on Services
Functional Units: Abstractions for Web Service Annotations
SERVICES '10 Proceedings of the 2010 6th World Congress on Services
SSDBM'10 Proceedings of the 22nd international conference on Scientific and statistical database management
Wings: Intelligent Workflow-Based Design of Computational Experiments
IEEE Intelligent Systems
Journal of Experimental & Theoretical Artificial Intelligence
SERVICES '11 Proceedings of the 2011 IEEE World Congress on Services
Seven bottlenecks to workflow reuse and repurposing
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
Scientific workflow reuse through conceptual workflows on the virtual imaging platform
Proceedings of the 6th workshop on Workflows in support of large-scale science
A new approach for publishing workflows: abstractions, standards, and linked data
Proceedings of the 6th workshop on Workflows in support of large-scale science
Making data analysis expertise broadly accessible through workflows
Proceedings of the 6th workshop on Workflows in support of large-scale science
IWIR: a language enabling portability across grid workflow systems
Proceedings of the 6th workshop on Workflows in support of large-scale science
A framework for the design and reuse of grid workflows
SAG'04 Proceedings of the First international conference on Scientific Applications of Grid Computing
Multi-modality medical image simulation of biological models with the Virtual Imaging Platform (VIP)
CBMS '11 Proceedings of the 2011 24th International Symposium on Computer-Based Medical Systems
Web service composition reuse through shared process fragment libraries
ICWE'12 Proceedings of the 12th international conference on Web Engineering
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Workflows are increasingly adopted to describe large-scale data- and compute-intensive processes that can take advantage of today's Distributed Computing Infrastructures. Still, most Scientific Workflow formalisms are notoriously difficult to fully exploit, as they entangle the description of scientific processes and their implementation, blurring the lines between what is done and how it is done as well as between what is and what is not infrastructure-dependent. This work addresses the problem of data-intensive Scientific Workflow design by describing scientific experiments at a higher level of abstraction, emphasizing scientific concepts over technicalities, easing the separation of functional and non-functional concerns and leveraging domain knowledge. To achieve this goal, we propose a model-driven approach enhanced with Knowledge Engineering technologies. The main contributions of this work are a semantic Scientific Workflow model to capture user goals and a generative process assisting the transformation from high-level models to executable workflow artefacts.