Abstract
Provenance is intended as the description of the origin and/or of the descendant line of data. In the last decade, keeping track of provenance has become crucial for the correct exploitation of data in a wide variety of application domains. The rapid evolution of digital libraries, which have become today advanced systems for the integration and management of cross-domain digital objects, recently called for models capturing the aspects of data provenance in this application field. However, there is no common definition of digital library provenance and existing solutions address the problem only from the perspective of specific application scenarios. In this paper we propose a provenance model for digital libraries, inspired by approaches and experiences in the e-Science and cultural heritage worlds and based on the notion of event occurred to an object. The model aims at capturing the specificities of provenance for digital libraries objects in order to provide practitioners and researchers in the field with common DL-specific provenance description languages.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
A Global Information System on Fishes, http://www.fishbase.org/
Aquamaps, http://www.aquamaps.org/
D4Science, http://www.d4science.eu/
Global Biodiversity Information Facility, http://www.gbif.org/
Ocean Biogeographic Information System, http://www.iobis.org/
Provenance Challenges, http://twiki.ipaw.info/bin/view/Challenge/
Braun, U., Garfinkel, S.L., Holland, D.A., Muniswamy-Reddy, K.-K., Seltzer, M.I.: Issues in automatic provenance collection. In: Moreau, L., Foster, I. (eds.) IPAW 2006. LNCS, vol. 4145, pp. 171–183. Springer, Heidelberg (2006)
Buneman, P., Khanna, S., Tan, W.-C.: Computing provenance and annotations for views (2002)
Candela, L., Castelli, D., Ferro, N., Ioannidis, Y., Koutrika, G., Meghini, C., Pagano, P., Ross, S., Soergel, D., Agosti, M., Dobreva, M., Katifori, V., Schuldt, H.: The DELOS Digital Library Reference Model - Foundations for Digital Libraries. In: DELOS: a Network of Excellence on Digital Libraries (February 2008) ISSN 1818-8044, ISBN 2-912335-37-X
Chapman, A., Jagadish, H.V.: Issues in building practical provenance systems
Cheng, X., Pizarro, R., Tong, Y., Zoltick, B., Luo, Q., Weinberger, D.R., Mattay, V.S.: Bio-swarm-pipeline: a light-weight, extensible batch processing system for efficient biomedical data processing. Frontiers in neuroinformatics 3 (2009)
Chiew Tan, W.: Research problems in data provenance. IEEE Data Engineering Bulletin 27, 45–52 (2004)
Cui, Y., Widom, J., Wiener, J.L.: Tracing the lineage of view data in a warehousing environment. ACM Transactions on Database Systems 25, 2000 (1997)
Davidson, S.B., Freire, J.: Provenance and scientific workflows: challenges and opportunities. In: Proceedings of ACM SIGMOD, pp. 1345–1350 (2008)
Doerr, M., Ore, C.-E., Stead, S.: The CIDOC Conceptual Reference Model - A New Standard for Knowledge Sharing. In: ER (Tutorials, Posters, Panels & Industrial Contributions), pp. 51–56 (2007)
Foster, I., Vöckler, J., Wilde, M., Zhao, Y.: Chimera: A virtual data system for representing, querying, and automating data derivation. In: Proceedings of the 14th Conference on Scientific and Statistical Database Management, pp. 37–46 (2002)
Miles, S., Groth, P., Branco, M., Moreau, L.: The requirements of recording and using provenance in e-science experiments. Technical report, Journal of Grid Computing (2005)
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)
Ram, S., Liu, J.: Understanding the semantics of data provenance to support active conceptual modeling. In: Embley, D.W., Olivé, A., Ram, S. (eds.) ER 2006. LNCS, vol. 4215, pp. 1–12. Springer, Heidelberg (2006)
Sahoo, S., Barga, R., Goldstein, J., Sheth, A.: Provenance algebra and materialized view-based provenance management. Technical report, Microsoft Research (2008)
Simmhan, Y.L., Plale, B., Gannon, D.: A survey of data provenance in e-science. SIGMOD Record 34, 31–36 (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Castelli, D., Candela, L., Manghi, P., Pagano, P., Tang, C., Thanos, C. (2010). An Event-Centric Provenance Model for Digital Libraries. In: Agosti, M., Esposito, F., Thanos, C. (eds) Digital Libraries. IRCDL 2010. Communications in Computer and Information Science, vol 91. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15850-6_9
Download citation
DOI: https://doi.org/10.1007/978-3-642-15850-6_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15849-0
Online ISBN: 978-3-642-15850-6
eBook Packages: Computer ScienceComputer Science (R0)