Data integration: a theoretical perspective
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Foundations of Databases: The Logical Level
Foundations of Databases: The Logical Level
Why and Where: A Characterization of Data Provenance
ICDT '01 Proceedings of the 8th International Conference on Database Theory
Model-Based Mediation with Domain Maps
Proceedings of the 17th International Conference on Data Engineering
Composition of mappings given by embedded dependencies
Proceedings of the twenty-fourth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Incorporating semantics in scientific workflow authoring
SSDBM'2005 Proceedings of the 17th international conference on Scientific and statistical database management
Scientific workflow management and the Kepler system: Research Articles
Concurrency and Computation: Practice & Experience - Workflow in Grid Systems
An annotation management system for relational databases
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Actor-oriented design of scientific workflows
ER'05 Proceedings of the 24th international conference on Conceptual Modeling
A new approach to inferences of semantic constraints
ADBIS'97 Proceedings of the First East-European conference on Advances in Databases and Information systems
Automatic annotation of Web services based on workflow definitions
ACM Transactions on the Web (TWEB)
International Journal of Geographical Information Science
Automatic annotation of web services based on workflow definitions
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
A calculus for propagating semantic annotations through scientific workflow queries
EDBT'06 Proceedings of the 2006 international conference on Current Trends in Database Technology
Automatic description of context-altering services through observational learning
Pervasive'12 Proceedings of the 10th international conference on Pervasive Computing
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Scientific workflow systems are problem-solving environments that allow scientists to automate and reproduce data management and analysis tasks. Workflow components include actors (e.g., queries, transformations, analyses, simulations, visualizations), and datasets which are produced and consumed by actors. The increasing number of such components creates the problem of discovering suitable components and of composing them to form the desired scientific workflow. In previous work we proposed the use of semantic types (annotations relative to an ontology) to solve these problems. Since creating semantic types can be complex and time-consuming, scalability of the approach becomes an issue. In this paper we propose a framework to automatically derive semantic types from a (possibly small) number of initial types. Our approach propagates the given semantic types through workflow steps whose input and output data structures are related via query expressions. By propagating semantic types, we can significantly reduce the effort required to annotate datasets and components and even derive new “candidate axioms” for inclusion in annotation ontologies.