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

Uren, Victoria; Motta, Enrico; Dzbor, Martin and Cimiano, Philipp (2005). Browsing for information by highlighting automatically generated annotations: a user study and evaluation. In: ed. Not Set Not Set, pp. 75–82.

DOI: https://doi.org/10.1145/1088622.1088637

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.

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• Item ORO ID
• 2956
• Item Type
• Book Section
• ISBN
• 1-59593-163-5, 978-1-59593-163-4
• Extra Information
• Conference took place in Banff, Canada.
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Research Group
• Centre for Research in Computing (CRC)
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• ORO Import