A Framework for the Evaluation of Automatic Metadata Enrichments

  • Juliane Stiller
  • Marlies Olensky
  • Vivien Petras
Part of the Communications in Computer and Information Science book series (CCIS, volume 478)

Abstract

Automatic enrichment of collections connects data to vocabularies, which supports the contextualization of content and adds searchable text to metadata. The paper introduces a framework of four dimensions (frequency, coverage, relevance and error rate) that measure both the suitability of the enrichment for the object and the enrichments’ contribution to search success. To verify the framework, it is applied to the evaluation of automatic enrichments in the digital library Europeana. The analysis of 100 result sets and their corresponding queries (1,121 documents total) shows the framework is a valuable tool for guiding enrichments and determining the value of enrichment efforts.

Keywords

Evaluation Europeana Digital Libraries Cultural Collections Framework Semantic Enrichment 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Juliane Stiller
    • 1
  • Marlies Olensky
    • 1
  • Vivien Petras
    • 1
  1. 1.Berlin School of Library and Information ScienceHumboldt-Universität zu BerlinBerlinGermany

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