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Problems in the Use-Centered Development of a Taxonomy of Web Genres

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Genres on the Web

Part of the book series: Text, Speech and Language Technology ((TLTB,volume 42))

Abstract

Web search engines such as Google or Yahoo determine relevance of Web pages according to the occurrence of words in the pages indexed by the engine (additional information is then used to rank these results). Unfortunately, such searches are not always sufficient to solve information needs since task-driven searchers often must distinguish between documents that share a set of keywords (i.e., a topic) but assume a different form to serve a different purpose or function. For example, before purchasing a digital camera, an individual may want to read reviews from online magazines and see the blogs in which people who have used this camera express their opinions and personal stories.

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References

  1. Bagdanov, A., and M. Worring. 2001. Fine-grained document genre classification using first order random graphs. In Document analysis and recognition. Seattle, WA: IEEE Computer Society.

    Google Scholar 

  2. Bartlett, F. 1932/1967. Remembering: A study in experimental and social psychology. Cambridge, England: Cambridge University Press.

    Google Scholar 

  3. Crowston, K., and M. Williams. 2000. Reproduced and emergent genres of communication on the world wide web. Information Society 16(3):201–215.

    Article  Google Scholar 

  4. Dewe, J., J. Karlgren, and I. Bretan. 1998. Assembling a balanced corpus from the internet. In 11th Nordic Conference of Computational Linguistics, 28–29 Jan 1998. Copenhagen, Denmark.

    Google Scholar 

  5. Dillon, A., and B. Gushrowski. 2000. Genres and the web: Is the personal home page the first uniquely digital genre? Journal of the American Society for Information Science 51(2):202–205.

    Article  Google Scholar 

  6. Freund, L., C.L.A. Clarke, and E.G. Toms. 2006. Towards genre classification for IR in the workplace. In Proceedings of the 1st International Conference on Information Interaction in Context, 30–36. Copenhagen.

    Google Scholar 

  7. Görlach, M. 2004. Text types and the history of English. Trends in Linguistics: Studies and Monographs 139. New York, NY: Mouton de Gruyter.

    Google Scholar 

  8. Haas, S.W., and E.S. Grams. 2000. Readers, authors and page structure: A discussion of four questions arising from a content analysis of web pages. Journal of the American Society for Information Science 51(2):181–192.

    Article  Google Scholar 

  9. Karjalainen, A., T. Päivärinta, P. Tyrväinen, and J. Rajala. 2000. Genre-based metadata for enterprise document management. In Proceedings of the 33rd Hawai’i International Conference on System Sciences. Wailea, Maui, Hawaii.

    Google Scholar 

  10. Karlgren, J. 2010. Conventions and mutual expectations: Understanding sources for web genres. In Genres on the Web: Computational models and empirical studies, eds. A. Mehler, S. Sharoff, and M. Santini, Text, Speech and Language Technology. Dordrecht: Springer.

    Google Scholar 

  11. Karlgren, J., and D. Cutting. 1994. Recognizing text genres with simple metrics using discriminant analysis. In Proceedings of the 15th International Conference on Computational Linguistics. Kyoto.

    Google Scholar 

  12. Kennedy, A., and M. Shepherd. 2005. Automatic identification of home pages on the web. In Proceedings of the 38th Hawaii International Conference on System Sciences. Waikoloa, Hawaii, HI.

    Google Scholar 

  13. Kessler, B., G. Nunberg, and H. Schuetze. 1997. Automatic detection of text genre. In Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and the 8th Meeting of the European Chapter of the Association for Computational Linguistics, 32–38. Madrid: Morgan Kaufmann Publishers.

    Google Scholar 

  14. Kwaśnik, B.H., and K. Crowston. 2004. A framework for creating a facetted classification for genres: Addressing issues of multidimensionality. In Proceedings of the 37th Hawai’i International Conference on System Science (HICSS). Big Island, Hawai’i.

    Google Scholar 

  15. Kwaśnik, B.H., Y.-L. Chun, K. Crowston, J. D’Ignazio, and J. Rubleske. 2006. Challenges in creating a taxonomy for genres of digital documents. In 2006 ISKO Conference. Vienna.

    Google Scholar 

  16. Lee, D.Y.W. 2001. Genres, registers, text types, domains, and styles: Clarifying the concepts and navigating a path through the BNC jungle. Language, Learning & Technology 5(3):37–72.

    Google Scholar 

  17. Lim, C.S., K.J. Lee, and G.C. Kim. 2005. Multiple sets of features for automatic genre classification of web documents. Information Processing & Management 41(5):1263–1276.

    Article  Google Scholar 

  18. Meyer zu Eissen, S., and B. Stein. 2004. Genre classification of web pages: User study and feasibility analysis. In Proceedings of the 27th Annual German Conference on Artificial Intelligence (KI 04), eds. S. Biundo, T. Frühwirth, and G. Palm, 256–269. Ulm: Springer.

    Google Scholar 

  19. Nilan. M.S., J. Pomerantz, and S. Paling. 2001. Genres from the bottom up: What has the Web brought us? In Proceedings of the American Society for Information Science and Technology Conference, 330–339. Washington, DC.

    Google Scholar 

  20. Petersen, T. 1994. Art and architecture thesaurus. New York, NY: Oxford University Press.

    Google Scholar 

  21. Rosso, M.A. 2008. User-based identification of web genres. Journal of the American Society for Information Science & Technology 59(7):1053–1072.

    Article  MathSciNet  Google Scholar 

  22. Rosso, M.A., and S.W. Haas. 2010. Identification of web genres by user warrant. In Genres on the Web: Computational models and empirical studies, eds. A. Mehler, S. Sharoff, and M. Santini, Text, Speech and Language Technology. Dordrecht: Springer.

    Google Scholar 

  23. Roussinov, D.G., and H. Chen. 2001. Information navigation on the web by clustering and summarizing query results. Information Processing and Management 37(6):789–816.

    Article  MATH  Google Scholar 

  24. Santini, M. 2008. Zero, single, or multi? Genre of web pages through the users’ perspective. Information Processing and Management 44(2):702–737.

    Article  MathSciNet  Google Scholar 

  25. Sharoff, S. 2010. In the garden and in the jungle: Comparing genres in the BNC and Internet. In Genres on the web: Computational models and empirical studies, eds. A. Mehler, S. Sharoff, and M. Santini, Text, Speech and Language Technology. Dordrecht: Springer.

    Google Scholar 

  26. Stubbe, A., C. Ringlstetter, and K.U. Schulz. 2007. Genre as noise – noise in genre. In Proceedings of the IJCAI-2007 Workshop on Analytics for Noisy Unstructured Text Data. Hyderabad.

    Google Scholar 

  27. Swales, J.M. 1990. Genre analysis: English in academic and research settings. New York, NY: Cambridge University Press.

    Google Scholar 

  28. Toms, E.G., D.G. Campbell, and R. Blades. 1999. Does genre define the shape of information? The role of form and function in user interaction with digital documents. In American Society for Information Science; ASIS ’99. Washington, DC: Information Today.

    Google Scholar 

  29. Watters, C., and M. Shepherd. 1999. Cybergenre and web functionality. In Proceedings of the 32nd Annual Hawaii International Conference on Systems Sciences. Maui, HI: IEEE Press.

    Google Scholar 

  30. Yates, S.J., and T. Sumner. 1997. Digital genres and the new burden of fixity. In Hawaiian International Conference on System Sciences (HICCS 30). Wailea, HA: IEEE Computer Press.

    Google Scholar 

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Acknowledgments

This research was partially supported by NSF IIS Grant 04-14482. We thank John D’Ignazio and You-Lee Chun for their contributions to this research project.

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Authors and Affiliations

  1. School of Information Studies, Syracuse University, Syracuse, NY, USA

    Kevin Crowston, Barbara Kwaśnik & Joseph Rubleske

Authors
  1. Kevin Crowston
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  2. Barbara Kwaśnik
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  3. Joseph Rubleske
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Corresponding author

Correspondence to Kevin Crowston .

Editor information

Editors and Affiliations

  1. , Text Technology/Applied Comp. Ling., Bielefeld University, Universitätsstrasse 25, Bielefeld, 33615, Germany

    Alexander Mehler

  2. LS2 9JT Leeds, United Kingdom

    Serge Sharoff

  3. Varvsgatan 25, Stockholm, 117 29, Sweden

    Marina Santini

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Crowston, K., Kwaśnik, B., Rubleske, J. (2010). Problems in the Use-Centered Development of a Taxonomy of Web Genres. In: Mehler, A., Sharoff, S., Santini, M. (eds) Genres on the Web. Text, Speech and Language Technology, vol 42. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9178-9_4

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  • DOI: https://doi.org/10.1007/978-90-481-9178-9_4

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-9177-2

  • Online ISBN: 978-90-481-9178-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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