Browsing for information by highlighting automatically generated annotations: a user study and evaluation

  • Authors:

  • Victoria Uren;Enrico Motta;Martin Dzbor;Philipp Cimiano

  • Affiliations:

  • Knowledge Media Institute, Open University, Milton Keynes, UK;Knowledge Media Institute, Open University, Milton Keynes, UK;Knowledge Media Institute, Open University, Milton Keynes, UK;AIFB, University of Karlsruhe, Karlsruhe, Germany

  • Venue:
  • Proceedings of the 3rd international conference on Knowledge capture
  • Year:
  • 2005

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Abstract

The realization of the Semantic Web is constrained by a knowledge acquisition bottleneck, i.e. the problem of how to add RDF mark-up to the millions of ordinary web pages that already exist. Information Extraction (IE) has been proposed as a solution to the annotation bottleneck. In the task based evaluation reported here, we compared the performance of users without access to annotation, users working with annotations which had been produced from manually constructed knowledge bases, and users working with annotations augmented using IE. We looked at retrieval performance, overlap between retrieved items and the two sets of annotations, and usage of annotation options. Automatically generated annotations were found to add value to the browsing experience in the scenario investigated.