Servicing the federation: the case for metadata harvesting

Fabio Simeoni

Research output: Contribution to journalArticle

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.
LanguageEnglish
Pages389-399
Number of pages11
JournalLecture Notes in Computer Science
Volume3232
DOIs
Publication statusPublished - 2004

Fingerprint

Federation
Harvesting
Metadata
Digital libraries
Digital Libraries
Requirements
Distributed computer systems
Distributed Computing
Comparative Analysis
Model
Scalability
Identification (control systems)
Flexibility
Invariant

Keywords

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

Cite this

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Servicing the federation : the case for metadata harvesting. / Simeoni, Fabio.

In: Lecture Notes in Computer Science, Vol. 3232, 2004, p. 389-399.

Research output: Contribution to journalArticle

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