Journal on Data Semantics

, Volume 1, Issue 1, pp 11–17 | Cite as

A Semantic Foundation for Provenance Management

Editorial

Abstract

Provenance is a term used to describe the lineage, history, or origin of an object. While provenance originated from the art world, it is now becoming increasingly important in the context of digital objects on the World Wide Web. Large scale scientific collaborations and social media platforms on the web have enabled production and sharing of a variety of digital objects on the web. With the proliferation and sharing of such objects, which include documents, pictures, videos, and more, questions such as “where did this object come from?”, “who else is using this object?” and “for what purpose was it generated?” are becoming increasingly common. To ensure that digital objects from different sources can be trusted and used appropriately, it is imperative that the provenance of the digital objects be tracked, recorded, and made available to its users. In this work, we attempt to provide a foundation for understanding provenance, clearly define the semantics of provenance, distinguish provenance from “uses or application” of provenance, suggest a mechanism for managing provenance, and provide important directions for research in provenance management.

Keywords

Provenance management Semantics Digital data provenance Data lineage Semantic Web technologies Data curation 

References

  1. 1.
    Bunge M (1977) Treatise on basic philosophy: ontology I. The furniture of the world, vol 3. Reidel, BostonGoogle Scholar
  2. 2.
    Liu J, Ram S (2011) Who does what: collaboration patterns in the Wikipedia and their impact on article quality. ACM Trans Manag Inf Syst 2(2):23 (article 11)Google Scholar
  3. 3.
    Lynch C (2008) Big data: how do your data grow?. Nature 455: 28–29CrossRefGoogle Scholar
  4. 4.
    Merriam-Webster Online. http://www.m-w.com/home.htm
  5. 5.
    Moreaua L, Clifford B et al (2011) The open provenance model core specification (v11). Future Gener Comput Syst 27(6): 743–756CrossRefGoogle Scholar
  6. 6.
    Ram S, Liu J (2007) Understanding the semantics of data provenance to support active conceptual modeling. Lecture notes in computer science, vol 4512. Springer, Berlin, pp 17–29Google Scholar
  7. 7.
    Ram S, Liu J (2008) A semiotics framework for analyzing data provenance research. J Comput Sci Eng 2(3): 221–248Google Scholar
  8. 8.
    Ram S, Liu J (2009) A new perspective on semantics of data provenance. In: Proceedings of the first international workshop on the role of semantic web in provenance management, Washington, DCGoogle Scholar
  9. 9.
    Ram S, Liu J (2010) Provenance management in biosciences. Lecture notes in computer science, vol 6413. Springer, Berlin, pp 54–64Google Scholar
  10. 10.
    Ram S, Liu J et al (2006) PROMS: a system for harvesting and managing data provenance. In: Proceedings of the 16th annual workshop on information technologies and systems, MilwaukeeGoogle Scholar
  11. 11.
    Sowa J (1999) Conceptual graphs: draft proposed American National Standard. Lecture notes in artificial intelligence, vol 1640. Springer, Berlin, pp 1–65Google Scholar
  12. 12.
    Tan W (2004) Research problems in data provenance. IEEE Data Eng Bull 27: 45–52Google Scholar

Copyright information

© Springer-Verlag 2012

Authors and Affiliations

  1. 1.University of ArizonaTucsonUSA
  2. 2.Opera Solutions, Inc.San DiegoUSA

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