CI-Miner: semantically enhancing scientific processes

Abstract

The realization of an international cyberinfrastructure of shared resources to overcome time and space limitations is challenging scientists to rethink how to document their processes. Many known scientific process requirements that would normally be considered impossible to implement a few years ago are close to becoming a reality for scientists, such as large scale integration and data reuse, data sharing across distinct scientific domains, comprehensive support for explaining process results, and full search capability for scientific products across domains. This article introduces the CI-Miner approach that can be used to aggregate knowledge about scientific processes and their products through the use of semantic annotations. The article shows how this aggregated knowledge is used to benefit scientists during the development of their research activities. The discussion is grounded on lessons learned through the use of CI-Miner to semantically annotate scientific processes in the areas of geo-sciences,

On the Use of Semantic Abstract Workflows Rooted on Provenance Concepts

“…The integration of these technologies is implemented through the WDO-It! tool [5], and an approach named CI-Miner [7] has been developed to guide domain experts to document their processes and to construct provenance-capturing modules that can be used to instrument process implementations. The latest version of the aligned ontology can be found at http://trust.utep.edu/2.0/wdo.owl.…”

Using Domain Requirements to Achieve Science-Oriented Provenance

“…Our strategy is to have different domain expert focus groups to describe their understanding of the ISDE workflow through the use of semantic abstract workflows (SAW) [3] and for the computer scientists to map the SAW steps (i.e., SAW methods) into concrete ISDE workflow tasks. One immediate benefit of this approach is that the workflow would be described in scientific terms.…”