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

Victoria Uren, Enrico Motta, Martin Dzbor, Philipp Cimiano

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.
Original languageEnglish
Title of host publicationProceedings of the 3rd international conference on knowledge capture - K-CAP '05
Place of PublicationNew York, NY (US)
PublisherACM
Pages75-82
Number of pages8
ISBN (Print)1-59593-163-5
DOIs
Publication statusPublished - 2 Oct 2005
Event3rd international conference on Knowledge capture - Alberta, Canada
Duration: 2 Oct 20055 Oct 2005

Conference

Conference3rd international conference on Knowledge capture
Abbreviated titleK-CAP'05
CountryCanada
CityAlberta
Period2/10/055/10/05

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  • Research Output

    • 1 Conference contribution

    Extracting significant words from corpora for ontology extraction

    Damle, D. & Uren, V., 2 Oct 2005, Proceedings of the 3rd international conference on knowledge capture - K-CAP '05. New York, NY (US): ACM, p. 187-188 2 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Cite this

    Uren, V., Motta, E., Dzbor, M., & Cimiano, P. (2005). Browsing for information by highlighting automatically generated annotations: a user study and evaluation. In Proceedings of the 3rd international conference on knowledge capture - K-CAP '05 (pp. 75-82). ACM. https://doi.org/10.1145/1088622.1088637