Servicing the federation: the case for metadata harvesting

Fabio Simeoni

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Abstract

The paper presents a comparative analysis of data harvesting and distributed computing as complementary models of service delivery within large-scale federated digital libraries. Informed by requirements of flexibility and scalability of federated services, the analysis focuses on the identification and assessment of model invariants. In particular, it abstracts over application domains, services, and protocol implementations. The analytical evidence produced shows that the harvesting model offers stronger guarantees of satisfying the identified requirements. In addition, it suggests a first characterisation of services based on their suitability to either model and thus indicates how they could be integrated in the context of a single federated digital library.
Original languageEnglish
Pages (from-to)389-399
Number of pages11
JournalLecture Notes in Computer Science
Volume3232
DOIs
Publication statusPublished - 2004

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Keywords

  • service delivery
  • data harvesting
  • digital libraries
  • protocol implementations
  • metadata
  • repositories
  • Open Access

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