A framework for evaluating semantic metadata

Yuangui Lei, Victoria Uren, Enrico Motta

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

Abstract

Because poor quality semantic metadata can destroy the effectiveness of semantic web technology by hampering applications from producing accurate results, it is important to have frameworks that support their evaluation. However, there is no such framework developedto date. In this context, we proposed i) an evaluation reference model, SemRef, which sketches some fundamental principles for evaluating semantic metadata, and ii) an evaluation framework, SemEval, which provides a set of instruments to support the detection of quality problems and the collection of quality metrics for these problems. A preliminary case study of SemEval shows encouraging results.
Original languageEnglish
Title of host publicationK-CAP '07 - proceedings of the 4th international conference on Knowledge capture
EditorsDerek Sleeman, Ken Barker
Place of PublicationNew York, NY (US)
PublisherACM
Pages135-142
Number of pages8
ISBN (Print)978-1-59593-643-1
DOIs
Publication statusPublished - 28 Oct 2007
Event4th International Conference on Knowledge Capture - Whistler, BC, Canada
Duration: 28 Oct 200731 Oct 2007

Conference

Conference4th International Conference on Knowledge Capture
Abbreviated titleK-CAP'07
CountryCanada
CityWhistler, BC
Period28/10/0731/10/07

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  • Research Output

    • 2 Conference contribution

    Enhancing enterprise knowledge processes via cross-media extraction

    Iria, J., Uren, V., Lavelli, A., Blohm, S., Dadzie, A., Franz, T., Kompatsiaris, I., Magalhaes, J., Nikolopoulos, S., Preisach, C. & Slavazza, P., 28 Oct 2007, K-CAP '07 - proceedings of the 4th international conference on Knowledge capture. Sleeman, D. & Barker, K. (eds.). New York, NY (US): ACM, p. 175-176 2 p.

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

  • KnoFuss: a comprehensive architecture for knowledge fusion

    Nikolov, A., Uren, V. & Motta, E., 2007, K-CAP '07 - proceedings of the 4th international conference on Knowledge capture. Sleeman, D. & Barker, K. (eds.). New York, NY (US): ACM, p. 185-186 2 p.

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

  • Cite this

    Lei, Y., Uren, V., & Motta, E. (2007). A framework for evaluating semantic metadata. In D. Sleeman, & K. Barker (Eds.), K-CAP '07 - proceedings of the 4th international conference on Knowledge capture (pp. 135-142). ACM. https://doi.org/10.1145/1298406.1298431