• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
    https://jics.or.kr/
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The Comparison of Indicators for Selecting Familiar Labels of Information Items in Web Pages


In-Ho Cho, Hyoung-Rae Kim, Journal of Internet Computing and Services, Vol. 12, No. 1, pp. 111-118, Feb. 2011
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Abstract

While sharing information through Internet by Web page or XML, familiar labels of information items will reduce the confusion among users. The advises of the language experts for choosing familiar terms may cost money and time, but an automated Indicator can help a user select right terms without any cost. This paper collects Indicators that can be easily found over Internet and compares the efficiency of them for selecting familiar terms. The collected indicators are the number of words in a term, the frequency used in a related Web sites, and the number of search results in portal sites. The results conclude that the found terms by the frequency matches 76% for women's and 71% for men's, which tells that the frequency can be a reference for selecting familiar terms.


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Cite this article
[APA Style]
Cho, I. & Kim, H. (2011). The Comparison of Indicators for Selecting Familiar Labels of Information Items in Web Pages. Journal of Internet Computing and Services, 12(1), 111-118.

[IEEE Style]
I. Cho and H. Kim, "The Comparison of Indicators for Selecting Familiar Labels of Information Items in Web Pages," Journal of Internet Computing and Services, vol. 12, no. 1, pp. 111-118, 2011.

[ACM Style]
In-Ho Cho and Hyoung-Rae Kim. 2011. The Comparison of Indicators for Selecting Familiar Labels of Information Items in Web Pages. Journal of Internet Computing and Services, 12, 1, (2011), 111-118.