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From Web 1.0 to Web 2.0 and back -: how did your grandma use to tag?
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Workshop On Web Information And Data Management archive
Proceeding of the 10th ACM workshop on Web information and data management table of contents
Napa Valley, California, USA
SESSION: Web 2.0 and social networks table of contents
Pages 79-86  
Year of Publication: 2008
ISBN:978-1-60558-260-3
Authors
Sheila Kinsella  National University of Ireland, Galway, Galway, Ireland and École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
Adriana Budura  École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
Gleb Skobeltsyn  École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
Sebastian Michel  École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
John G. Breslin  National University of Ireland, Galway, Galway, Ireland
Karl Aberer  École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
Sponsors
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
SIGIR: ACM Special Interest Group on Information Retrieval
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 23,   Downloads (12 Months): 295,   Citation Count: 1
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ABSTRACT

We consider the applicability of terms extracted from anchortext as a source of Web page descriptions in the form of tags. With a relatively simple and easy-to-use method, we show that anchortext significantly overlaps with tags obtained from the popular tagging portal del.icio.us. Considering the size and diversity of the user community potentially involved in social tagging, this observation is rather surprising. Furthermore, we show by an evaluation using human-created relevance assessments the general suitability of the anchortext tag generation in terms of user-perceived precision values. The awareness of this easy-to-obtain source of tags could trigger the rise of new tagging portals pushed by this automatic bootstrapping process or be applied in already existing portals to increase the number of tags per page by merely looking at the anchortext which exists anyway.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Yahoo! Research: "Web Collection UK-2007". http://research.yahoo.com/ Crawled by the Laboratory of Web Algorithmics, University of Milan, http://law.dsi.unimi.it/. URL retrieved 05 2008.
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P. Mika. Ontologies are us: A unified model of social networks and semantics. In International Semantic Web Conference, Lecture Notes in Computer Science, pages 522--536. Springer, 2005.
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S. Sood, K. Hammond, S. Owsley, and L. Birnbaum. TagAssist: Automatic Tag Suggestion for Blog Posts. In Proceedings of the 1st International Conference on Weblogs and Social Media, 2007.
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Collaborative Colleagues:
Sheila Kinsella: colleagues
Adriana Budura: colleagues
Gleb Skobeltsyn: colleagues
Sebastian Michel: colleagues
John G. Breslin: colleagues
Karl Aberer: colleagues