Skip to main content
SpringerLink
Log in
Book cover

International Conference on Conceptual Modeling

ER 2010: Advances in Conceptual Modeling – Applications and Challenges pp 54–64Cite as

Provenance Management in BioSciences

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6413))

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.

This research is supported in part by research grants from the National Science Foundation Plant Cyberinfrastructure Program (#EF-0735191) and from the Science Foundation of Arizona.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Simmhan, Y., Plale, B., Gannon, D.: A Survey of Data Provenance Techniques, Indiana University, Technical Report IUB-CS-TR618 (2005)

    Google Scholar 

  2. Moreau, L., Freire, J., Futrelle, J., McGrath, R.E., Myers, J., Paulson, P.: The Open Provenance Model: An Overview. In: Freire, J., Koop, D., Moreau, L. (eds.) IPAW 2008. LNCS, vol. 5272, pp. 323–326. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  3. Ram, S., Liu, J.: Understanding the Semantics of Data Provenance to Support Active Conceptual Modeling. In: Chen, P.P., Wong, L.Y. (eds.) ACM-L 2006. LNCS, vol. 4512, pp. 17–29. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  4. Ram, S., Liu, J.: A New Perspective on Semantics of Data Provenance. Presented at the First International Workshop on the Role of Semantic Web in Provenance Management, Washington D.C., (2009)

    Google Scholar 

  5. Sowa, J.: Conceptual structures: Information processing in Mind and Machine. Addison-Wesley, Reading (1984)

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of MIS, Eller School of Management, University of Arizona, 430J McClelland Hall, Tucson, AZ, 85721, USA

    Sudha Ram & Jun Liu

Authors
  1. Sudha Ram
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jun Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Software and Computing Systems, University of Alicante, 03690, Alicante, Spain

    Juan Trujillo

  2. Department of Computer Science, University of Auckland, Auckland, New Zealand

    Gillian Dobbie

  3. Department of Computer Sciences, University of Tampere, 33101, Tampere, Finland

    Hannu Kangassalo

  4. Department of Informatics, Clausthal University of Technology, Julius-Albert-Str. 4, 38678, Clausthal-Zellerfeld, Germany

    Sven Hartmann

  5. Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A*STAR), 1 Fusionopolis Way, #21-01 Connexis, 138632, Singapore, Singapore

    Markus Kirchberg

  6. Information Systems Science, Aalto University School of Economics, P.O. Box 21210, FI-00076, Aalto, Finland

    Matti Rossi

  7. Department of Management Information Systems, University of Haifa, 31905, Mount Carmel, Haifa, Israel

    Iris Reinhartz-Berger

  8. Department of Computer and Decision Engineering, Université Libre de Bruxelles, Av. F.D. Roosevelt 50, 1050, Bruxelles, Belgium

    Esteban Zimányi

  9. Econometric Institute, Erasmus University Rotterdam, PO Box 1738, NL-3000, Rotterdam, DR, The Netherlands

    Flavius Frasincar

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Ram, S., Liu, J. (2010). Provenance Management in BioSciences. In: Trujillo, J., et al. Advances in Conceptual Modeling – Applications and Challenges. ER 2010. Lecture Notes in Computer Science, vol 6413. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16385-2_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-16385-2_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16384-5

  • Online ISBN: 978-3-642-16385-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation