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Disambiguating for the web: a test of two methods

Published: 28 October 2007 Publication History

Abstract

The Semantic Web vision expects authors to represent knowledge unambiguously, but their ability and willingness to do so are contested. To evaluate experimentally two disambiguation methods that authors might use, we showed sentences from the Web containing syntactically ambiguous quantification to 386 subjects and asked them to choose between pairs of paraphrasal and/or truth-conditional restatements. The paraphrasal method was mostly superior. Subjects generally found both methods satisfying and were able to achieve substantial consistency and agreement.

References

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Amazon.com, Amazon Mechanical Turk (Web site), 2007; http://www.mturk.com/mturk/welcome.
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Bach, E., Jelinek, E., Kratzer, A., and Partee, B.H. (eds.), Quantification in Natural Languages (Dordrecht: Kluwer, 1995).
[3]
Berners-Lee, T., Hendler, J., and Lassila, O., "The Semantic Web", Sci. Am., 284(5), 2001, 34--43; http://www.lassila.org/publications/2001/SciAm.shtml.
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Etzioni, O., Banko, M., and Cafarella, M. J., "Machine Reading", 2007 AAAI Spring Symposium on Machine Reading, 2007; http://turing.cs.washington.edu/papers/SS06EtzioniO.pdf.
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Marshall, C. C., and Shipman, F. M., "Which Semantic Web?", Hypertext '03 Proceedings, 2003; http://www.csdl.tamu.edu/~marshall/ht03-sw-4.pdf.
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Noy, N. F., and McGuinness, D. L., "Ontology Development 101: A Guide to Creating Your First Ontol--ogy", Stanford Medical Informatics Technical Report SMI-2001-0880, 2001; http://smi-web.stanford.edu/smi-web/reports/SMI-2001-0880.pdf.
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Cited By

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  • (2009)Acquiring high quality non-expert knowledge from on-demand workforceProceedings of the 2009 Workshop on The People's Web Meets NLP: Collaboratively Constructed Semantic Resources10.5555/1699765.1699773(51-56)Online publication date: 7-Aug-2009

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cover image ACM Conferences
K-CAP '07: Proceedings of the 4th international conference on Knowledge capture
October 2007
216 pages
ISBN:9781595936431
DOI:10.1145/1298406
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 October 2007

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Author Tags

  1. ambiguity
  2. annotation
  3. disambiguation
  4. distributed human computation
  5. metadata
  6. semantic web

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K-CAP07
Sponsor:
K-CAP07: International Conference on Knowledge Capture 2007
October 28 - 31, 2007
BC, Whistler, Canada

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Overall Acceptance Rate 55 of 198 submissions, 28%

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Cited By

View all
  • (2009)Acquiring high quality non-expert knowledge from on-demand workforceProceedings of the 2009 Workshop on The People's Web Meets NLP: Collaboratively Constructed Semantic Resources10.5555/1699765.1699773(51-56)Online publication date: 7-Aug-2009

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