Authors:
Lenita M. Ambrósio
;
José Maria N. David
;
Regina Braga
;
Fernanda Campos
;
Victor Ströele
and
Marco Antônio Araújo
Affiliation:
Federal University of Juiz de Fora (UFJF), Brazil
Keyword(s):
Contextual Elements, Provenance, Scientific Experiments, E-Science.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Data Engineering
;
Enterprise Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Symbolic Systems
;
Tools, Techniques and Methodologies for System Development
Abstract:
[Background] Managing contextual elements and provenance information plays a key role in the context of
scientific experiments. Currently the scientific experimentation process requires support for collaborative and
distributed activities. Detailed logging of the steps to produce results, as well as the environment context information
could allow scientists to reuse these results in future experiments and reuse the experiment or parts
of it in another context. [Objectives] The goal of this paper is to present a provenance and context metadata
management approach that support researchers to reuse experiments in a collaborative and distributed platform.
[Method] First, the context and provenance management life cycle phases were analyzed, considering
existing models. Then it was proposed a conceptual framework to support the analysis of contextual elements
and provenance data of scientific experiments. An ontology capable of extracting implicit knowledge in this
domain was spe
cified. This approach was implemented in a scientific ecosystem platform. [Results] An initial
evaluation shown evidences that this architecture is able to help researchers during the reuse and reproduction
of scientific experiments. [Conclusions] Context elements and data provenance, associated with inference
mechanisms, can be used to support the reuse in scientific experimentation process.
(More)