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A Distributed Architecture for Harvesting Metadata Describing Organizations in the Agriculture Sector

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Providing easy access to updated, accurate and semantically meaningful information about organizations working in the agriculture sector is of primary importance in agricultural information management. Many databases of these organizations already exist but none are comprehensive and all differ in coverage (often overlapping), semantic organization, being up-to-date, quantity and quality of the information they provide. In addition, only very few information systems share and exchange data among themselves. This paper describes a distributed architecture which minimizes duplication in information storage and flow and improves quality of the information provided. In this architecture the data describing an organization are stored in a file as an XML description based on a specific metadata set, and access to these distributed files is facilitated by a central registry file. The proposed metadata set is also discussed, with special focus on those aspects that help to make the architecture coherent.

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References

  1. Expert Consultation. International Information Systems for Agricultural Science and Technology — Review of Progress and Prospects. FAO Headquarters Rome 19–21 October 2005 (2005). ftp://ftp.fao.org/gi/gil/consultations/final_report_10-02-06.pdf

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  2. Meeting Report: Content Management Task Force. International Information Systems for Agricultural Science and Technology. Technical Centre for Agricultural and Rural Cooperation (CTA) Wageningen. The Netherlands 1–2 March, 2007 (2007). ftp://ftp.fao.org/gi/gil/gilws/aims/publications/papers/20070416CMTF-Report.pdf

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Correspondence to Valeria Pesce , Maru Ajit , Salokhe Gauri or Johannes Keizer .

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© 2009 Springer Science+Business Media, LLC

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Pesce, V., Ajit, M., Gauri, S., Keizer, J. (2009). A Distributed Architecture for Harvesting Metadata Describing Organizations in the Agriculture Sector. In: Sicilia, MA., Lytras, M.D. (eds) Metadata and Semantics. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-77745-0_50

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  • DOI: https://doi.org/10.1007/978-0-387-77745-0_50

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-77744-3

  • Online ISBN: 978-0-387-77745-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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