Provenance Management in BioSciences

  • Sudha Ram
  • Jun Liu
Conference paper

DOI: 10.1007/978-3-642-16385-2_8

Volume 6413 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Ram S., Liu J. (2010) Provenance Management in BioSciences. In: Trujillo J. et al. (eds) Advances in Conceptual Modeling – Applications and Challenges. ER 2010. Lecture Notes in Computer Science, vol 6413. Springer, Berlin, Heidelberg

Abstract

Data provenance is becoming increasingly important for biosciences with the advent of large-scale collaborative environments such as the iPlant collaborative, where scientists collaborate by using data that they themselves did not generate. To facilitate the widespread use and sharing of provenance, ontologies of provenance need to be developed to enable the capture and standardized representation of provenance for biosciences. Working with researchers from the iPlant Tree of Life (iPToL) Grand Challenge Project, we developed a domain ontology of provenance for phylogenetic analysis. Relying on the conceptual graph formalism, we describe the process of developing the provenance ontology based on the W7 model, a generic ontology of data provenance. This domain ontology provides a structured model for harvesting, storing and querying provenance. We also illustrate how the harvested data provenance based on our ontology can be used for different purposes.

Keywords

Provenance tree of life W7 model conceptual graphs 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Sudha Ram
    • 1
  • Jun Liu
    • 1
  1. 1.Department of MIS, Eller School of ManagementUniversity of ArizonaTucsonUSA