Focused crawling for both topical relevance and qualify of medical information

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2005, Pages 147-154

  Tang, Thanh Tin ^a   Hawking, David ^b   Craswell, Nick ^c   Griffiths, Kathy ^a  

^a AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

^b CSIRO   (Australia)

^c MICROSOFT RESEARCH   (United Kingdom)

Author keywords

Domain specific search; Focused crawling; Quality health search

Indexed keywords

COSTS; DATA REDUCTION; INFORMATION RETRIEVAL; SEARCH ENGINES; TELECOMMUNICATION TRAFFIC; WORLD WIDE WEB;

DOMAIN-SPECIFIC SEARCH; FOCUSED CRAWLING; QUALITY HEALTH SEARCH;

HEALTH CARE;

EID: 33745789637     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (30)

1. C. C. Aggarwal, F. Al-Garawi, and P. S. Yu. On the design of a learning crawler for topical resource discovery. ACM Trans. Inf. Syst., 19(3):286-309, 2001.
2. L. Baker, T. H. Wagner, S. Singer, and M. K Bundorf. Use of the internet and e-mail for health care information. JAMA, 289(18):2400-2406, 2003.
3. P. D. Bra, G. Houben, Y. Kornatzky, and R. Post. Information retrieval in distributed hypertexts. In Procs. of the 4th RIAO Conference, pages 481-491, New York, 1994.
4. S. Brin and L. Page. The anatomy of a large-scale hypertextual web search engine. In WWW7, pages 107-117, Brisbane, Australia, 1998.
5. CEBMH. A systematic guide for the management of depression in primary care: treatment. University of Oxford, UK, 1998. Available at http://cebmh.warne.ox.ac.uk/cebmh/guidelines/ depression/treatment.html, Accessed 30 May 2005.
6. S. Chakrabarti, M. Berg, and B. Dom. Focused crawling: A new approach to topic-specific web resource discovery. In WWW8, 1999.
7. S. Chakrabarti, B. Dom, P. Raghavan, S. Rajagopalan, D. Gibson, and J. Kleinberg. Automatic resource compilation by analyzing hyperlink structure and associated text. In Procs. of the WWW7, pages 65-74, Brisbane, Australia, 1998. Elsevier Science Publishers B. V.
8. D. Charnock, S. Shepperd, G. Needham, and R. Gann. Discern: an instrument for judging the quality of written consumer health information on treatment choices. J. Epidemiol Community Health, 53:105-111, 1999.
9. J. Cho, H. Garcia-Molina, and L. Page. Efficient crawling through url ordering. In WWW7, 1998.
10. B. D. Davison. Topical locality in the web. In Procs. of the 23rd annual international A CM SIGIR conference on Research and development in information retrieval, pages 272-279, New York, NY, USA, 2000. ACM Press.
11. M. Diligenti, F. M. Coetzee, S. Lawrence, C. L. Giles, and M. Gori. Focused crawling using context graphs. In Procs. of the 26th VLDB Conference, Cairo, Egypt, 2000.
12. K. Griffiths and H. Christensen. Quality of web based information on treatment of depression: cross sectional survey. British Medical Journal, 321:1511-1515, 2000. bmj.bmjjournals.com/cgi/ content/full/321/7275/1511.
13. K. Griffiths and H. Christensen. The quality and accessibility of australian depression sites on the world wide web. The Medical Journal of Australia, 176:S97-8104, 2002.
14. K. Griffiths, H. Christensen, and S. Blomberg. Website quality indicators for consumers. In Tromso Telemedicine and e-Health Conf., Tromso, Norway, 2004.
15. D. Harman. Towards interactive query expansion. In Procs. of the llth annual international ACM SIGIR conference on Research and development in information retrieval, pages 321-331, New York, NY, USA, 1988. ACM Press.
16. M. Hersovici, M. Jacovi, Y. S. Maarek, D. Pellegb, M. Shtalhaima, and S. Ura. The shark-search algorithm, an application: tailored web site mapping. In WWW7, 1998.
17. A. R. Jadad and A. Gagliardi. Rating health information on the internet. JAMA, 279:611-614, 1998.
18. R. Kiley. Quality of medical information on the internet. J. Royal Soc. of Med., 91:369-370, 1998.
19. D. D. Margineantu and T. G. Dietterich. Improved class probability estimates from decision tree models. In D. D. Denison, M. H. Hansen, C. C. Holmes, B. Mallick, and B. Yu, editors, Lecture Notes in Statistics. Nonlinear Estimation and Classification, volume 171, pages 169-184, New York, 2002. Springer-Verlag.
20. A. McCallum, K. Nigam, J. Rennie, and K. Seymore. Building domain-specific search engines with machine learning technique. In Procs. of AAAI Spring Symposium on Intelligents Engine in Cyberspace, 1999.
21. S. L. Price and W. R. Hersh. Filtering web pages for quality indicators: An empirical approach to finding high quality consumer health information on the world wide web. In Procs. of the AMIA 1999 Annual Symposium, pages 911-915, Washington DC, 1999.
22. J. R. Quinlan. C4.5: programs for machine learning. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 1993.
23. A. Risk and J. Dzenowagis. Review of internet health information quality initiatives. JMIR, 3(4):e28, 2001.
24. S. E. Robertson. On term selection for query expansion. J. Doc., 46(4):359-364, 1990.
25. S. E. Robertson and K. S. Jones. Relevance weighting of search terms. Journal of the American Society for Information Science, 27(3):129-146, 1976.
26. S. E. Robertson, S. Walker, S. Jones, M. Hancock-Beaulieu, and M. Gatford. Okapi at trec-3. In Procs. of the Third Text REtrieval Conference, pages 109-126, USA, 1996.
27. W. M. Silberg, G. D. Lundberg, and R. A. Musacchio. Assessing, controlling, and assuring the quality of medical information on the internet. JAMA, 277:1244-1245, 1997.
28. T. T. Tang, N. Craswell, D. Hawking, K. M. Griffiths, and H. Christensen. Quality and relevance of domain-specific search: A case study in mental health. To appear in the Journal of Information Retrieval Special Issues, 2005.
29. T. T. Tang, D. Hawking, N. Craswell, and R. S. Sankaranarayana. Focused crawling in depression portal search: A feasibility study. In Procs. of the Ninth ADCS, pages 2-9, Australia, 2004.
30. I. H. Witten and E. Frank. Data Mining: Practical machine learning tools with Java implementations. Morgan Kaufmann, San Francisco, 1999.