Building a Directory for the Underdeveloped Web: An Experiment on the Arabic Medical Web Directory
Despite significant growth of the Web in recent years, some portions of the Web remain largely underdeveloped, as shown in a lack of high quality content and functionality. An example is the Arabic Web, in which a lack of well-structured Web directories has limited users’ ability to browse for Arabic resources. In this research, we proposed an approach to building Web directories for the underdeveloped Web and developed a proof-of-concept prototype called Arabic Medical (AMed) Web Directory that supports browsing of over 5,000 Arabic medical Web sites and pages organized in a hierarchical structure. We conducted an experiment involving Arab subjects and found that AMed directory significantly outperformed a benchmark Arabic Web directory in terms of browsing effectiveness and user ratings. This research thus contributes to developing a useful Web directory for organizing information of the Arabic medical domain and to better understanding of supporting browsing on the underdeveloped Web.
KeywordsBrowsing information seeking Arabic medical domain meta-searching Web directory underdeveloped Web user study experiment
Unable to display preview. Download preview PDF.
- 1.Miniwatts International.: Internet Usage Statistics - The Big Picture (2007), http://www.internetworldstats.com/stats.htm
- 3.Chung, W., Zhang, Y., Huang, Z., Wang, G., Ong, T.-H., Chen, H.: Internet searching and browsing in a multilingual world: An experiment on the Chinese Business Intelligence Portal (CBizPort). Journal of the American Society for Information Science and Technology 55, 818–831 (2004)CrossRefGoogle Scholar
- 4.Spink, A., Ozmutlu, S., Ozmutlu, H.C., Jansen, B.J.: U.S. versus European Web Searching Trends. SIGIR Forum 36 (2002)Google Scholar
- 5.Chung, W., Chen, H., Nunamaker, J.F.: A visual framework for knowledge discovery on the Web. Journal of Management Information Systems 21, 57–84 (2005)Google Scholar
- 6.Sato, S., Sato, M.: Automatic generation of Web directories for specific categories. In: Proceedings of the AAAI Workshop on Intelligent Information Systems, Orlando, FL (1999)Google Scholar
- 8.Yang, H.-C., Lee, C.-H.: A text mining approach on automatic generation of Web directories and hierarchies. In: Proceedings of the IEEE/WIC International Conference on Web Intelligence, Halifax, Canada (2003)Google Scholar
- 10.Stamou, S., Krikos, V., Kokosis, P., Ntoulas, A., Christodoulakis, D.: Web directory construction using lexical chains. In: Proceedings of the 10th International Conference on Applications of Natural Language to Information Systems (2005)Google Scholar
- 11.Abbi, R.: Internet in the Arab World, UNESCO Observatory on the Information Society, p. 3 (2002)Google Scholar
- 12.Norton, L.: The Expanding Universe: Internet Adoption in the Arab Region. World Markets Research Centre, Report (2001)Google Scholar
- 14.Voorhees, E., Harman, D.: Overview of the Sixth Text Retrieval Conference (TREC-6), In: NIST Special Publication 500-240: The Sixth Text Retrieval Conference (TREC-6), Gaithersburg, MD, USA (1997)Google Scholar
- 15.Ericsson, K.A., Simon, H.A.: Protocol analysis: verbal reports as data. MIT Press, Cambridge (1993)Google Scholar
- 16.Penslar, R.L.: Institutional Review Board Guidebook,Office for Human Research Protection, U.S. Department of Health and Human Services (2006), http://www.hhs.gov/ohrp/irb/irb_guidebook.htm