Provenance Tracking and Querying in the ViroLab Virtual Laboratory

Author

Balis, Bartosz ; Bubak, Marian ; Pelczar, Michal ; Wach, Jakub

Author_Institution

Inst. of Comput. Sci. AGH, Krakow

fYear

2008

Firstpage

675

Lastpage

680

Abstract

We present an approach to provenance tracking and querying which enables end-users to construct complex queries over provenance records. The use of ontologies for modeling provenance, data and applications enables query construction in an end-user oriented manner, i.e. by using terms of the scientific domain familiar to end users, instead of complex query languages. In addition, our ontologies contain mappings to underlying data models and sources. This allows to construct queries over provenance which additionally explore the structure of data items in the provenance records (e.g. experiment input or output data), combining requests to provenance and data repositories.

Keywords

database management systems; grid computing; ontologies (artificial intelligence); query formulation; ViroLab virtual laboratory; complex query construction; complex query languages; data repositories; ontologies; provenance modeling; provenance querying; provenance records; provenance tracking; scientific domain; Application software; Computer science; Data models; Database languages; Engines; Grid computing; Instruments; Laboratories; Monitoring; Ontologies; ViroLab; ontologies; provenance querying; provenance tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Cluster Computing and the Grid, 2008. CCGRID '08. 8th IEEE International Symposium on

Conference_Location

Lyon

Print_ISBN

978-0-7695-3156-4

Electronic_ISBN

978-0-7695-3156-4

Type

conf

DOI

10.1109/CCGRID.2008.83

Filename

4534282