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Topic segmentation of message hierarchies for indexing and navigation support
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Source International World Wide Web Conference archive
Proceedings of the 14th international conference on World Wide Web table of contents
Chiba, Japan
SESSION: Text analysis and extraction table of contents
Pages: 322 - 331  
Year of Publication: 2005
ISBN:1-59593-046-9
Authors
Jong Wook Kim  Arizona State University, Tempe, AZ
K. Selçuk Candan  Arizona State University, Tempe, AZ
Mehmet E. Dönderler  Arizona State University, Tempe, AZ
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 13,   Downloads (12 Months): 82,   Citation Count: 3
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ABSTRACT

Message hierarchies in web discussion boards grow with new postings. Threads of messages evolve as new postings focus within or diverge from the original themes of the threads. Thus, just by investigating the subject headings or contents of earlier postings in a message thread, one may not be able to guess the contents of the later postings. The resulting navigation problem is further compounded for blind users who need the help of a screen reader program that can provide only a linear representation of the content. We see that, in order to overcome the navigation obstacle for blind as well as sighted users, it is essential to develop techniques that help identify how the content of a discussion board grows through generalizations and specializations of topics. This knowledge can be used in segmenting the content in coherent units and guiding the users through segments relevant to their navigational goals. Our experimental results showed that the segmentation algorithm described in this paper provides up to 80-85% success rate in labeling messages. The algorithm is being deployed in a software system to reduce the navigational load of blind students in accessing web-based electronic course materials; however, we note that the techniques are equally applicable for developing web indexing and summarization tools for users with sight.


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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Collaborative Colleagues:
Jong Wook Kim: colleagues
K. Selçuk Candan: colleagues
Mehmet E. Dönderler: colleagues