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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 (Digital Object Identifier) Link: http://dx.doi.org/10.1145/1088622.1088637
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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.

Item Type: Book Chapter
ISBN: 1-59593-163-5, 978-1-59593-163-4
Extra Information: Conference took place in Banff, Canada.
Academic Unit/Department: Knowledge Media Institute
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Item ID: 2956
Depositing User: Users 12 not found.
Date Deposited: 22 Jun 2006
Last Modified: 02 Dec 2010 19:48
URI: http://oro.open.ac.uk/id/eprint/2956
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