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Is there anything worth finding on the semantic web?

Published: 20 April 2009 Publication History

Abstract

There has recently been an upsurge of interest in the possibilities of combining structured data and ad-hoc information retrieval from traditional hypertext. In this experiment, we run queries extracted from a query log of a major search engine against the Semantic Web to discover if the Semantic Web has anything of interest to the average user. We show that there is indeed much information on the Semantic Web that could be relevant for many queries for people, places and even abstract concepts, although they are overwhelmingly clustered around a Semantic Web-enabled export of Wikipedia known as DBPedia.

References

[1]
S. Auer, C. Bizer, J. Lehmann, G. Kobilarov, R. Cyganiak, and Z. Ives. DBpedia: A nucleus for a web of open data. In Proceedings of the International and Asian Semantic Web Conference (ISWC/ASWC2007)}, pages 718--728, Busan, Korea, 2007.
[2]
Gong Cheng, Weiyi Ge, and Yuzhong Qu. Falcon-S: Searching and browsing entities on the Semantic Web. In Proceedings of the the World Wide Web Conference, 2008.
[3]
Aaron Clauset, C. Shalizi, and M. Newman. Power-law distributions in empirical data, 2007.
[4]
Li Ding and Tim Finin. Characterizing the Semantic Web on the Web. In Proceedings of the International Semantic Web Conference (ISWC), pages 242--257, 2006.

Cited By

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  • (2013)FOAF user classification based on SVM2013 IEEE 4th International Conference on Software Engineering and Service Science10.1109/ICSESS.2013.6615303(271-274)Online publication date: May-2013
  • (2011)Visual Algorithm Simulation Exercises with Authentic Data SetsTowards Learning and Instruction in Web 3.010.1007/978-1-4614-1539-8_8(123-137)Online publication date: 15-Nov-2011
  • (undefined)An Empirical Survey of Linked Data ConformanceSSRN Electronic Journal10.2139/ssrn.3198962

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  1. Is there anything worth finding on the semantic web?

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    cover image ACM Conferences
    WWW '09: Proceedings of the 18th international conference on World wide web
    April 2009
    1280 pages
    ISBN:9781605584874
    DOI:10.1145/1526709

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 20 April 2009

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    Author Tags

    1. information retrieval
    2. linked data
    3. search
    4. semantic web

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    Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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    • (2013)FOAF user classification based on SVM2013 IEEE 4th International Conference on Software Engineering and Service Science10.1109/ICSESS.2013.6615303(271-274)Online publication date: May-2013
    • (2011)Visual Algorithm Simulation Exercises with Authentic Data SetsTowards Learning and Instruction in Web 3.010.1007/978-1-4614-1539-8_8(123-137)Online publication date: 15-Nov-2011
    • (undefined)An Empirical Survey of Linked Data ConformanceSSRN Electronic Journal10.2139/ssrn.3198962

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