• The Journal of Information Technology and Database
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• v.6 no.1
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• pp.27-46
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• 1999

This study was intended to find the use patterns of internet search engines of librarians and to measure the relationship between internet use frequency and the use behavior of internet search engines. The results showed that librarians use Web search engines for academic information retrieval and are satisfied with the search results. The major problems when librarians use search engines were that search engines retrieve many non-relevant documents. As a result of hypotheses test, the relationship between internet frequency and the preference of search engines was not significantly different. On the other hand, the hypotheses that internet frequency affects satisfaction of search results, recognition of importance of search engines, and the need of retraining of librarians for internet information retrieval were shown to be significant.

• The Research Journal of the Costume Culture
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• v.9 no.3
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• pp.412-432
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• 2001

Internet search engines are used by the majority of find information on the Web. However, Web users can be often dissatisfied with the mistakes in the retrieval of ‘Fashion’ information from the Internet. The purpose of this study is to analyze the ‘Fashion’ category structure in the Internet search engines. There are 2 steps for achieving it: the first, to investigate the structures of ‘Fashion’ categories and then, to analyze the gap between ‘Fashion’ categories defined by them and extensive ‘Fashion’categories, which are approached on 2 sides of the fashion-life and fashion-business. We select 5 major search engines for the case study: Yahoo, Lycos, Naver, Hanmir, Empas, which ranked as top 5 of total search engines and potal sites in February, 2001, and retrieve ‘Fashion’ categories from the first level to the last level by using both “topics retrieval”. Eventually, we can find the problems of ‘Fashion’ category structure in search engines. Also, it is concluded with a brief perspective of ‘Fashion’ categories in the Internet search engines and the implications for the future.

• Journal of the Korean Society for information Management
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• v.17 no.2
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• pp.85-100
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• 2000

Meta search engines have been used as the first engine because they let users several search engines at once for their queries and give them the search results. The purpose of this study is to examine the features and functions of 17 meta search engines in order that it helps users select and execute effective searches on meta search engines. Each selected engine is analyzed based on the criteria evaluating both meta search engines and general search engines. The results show that each meta search engine has its own characteristics while there are common features among them. It is expected that the results of this study will help users utilize meta search engines and provide meta search engine designer basic ideas.

• Journal for History of Mathematics
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• v.12 no.1
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• pp.82-87
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• 1999

The Internet has developed the computer and communications world. The Internet has tons of millions of sites. To find the specific information, we use a search engine. All search engines are operated by keyword against a database, but many different factors affect the result of search by engines. In this paper, we investigate the development of the Internet and try to find the differences among the most popular search engines.

• Journal of Digital Contents Society
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• v.19 no.4
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• pp.719-729
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• 2018

Abstract In 2017, it has been reported that Google had more than 90% of the market share in search-engines of desktops and mobiles. Most people may consider that Google surely searches the entire web area. However, according to many researches for web data, Google only searches less than 10%, surprisingly. The most region is called the Deep Web, and it is indexable by special search engines, which are different from Google because they focus on a specific segment of interest. Those engines build their own deep-web databases and run particular algorithms to provide accurate and professional search results. There is no search engine that indexes the entire Web, currently. The best way is to use several search engines together for broad and efficient searches as best as possible. This paper defines that kind of search engine as Hybrid Search Engine and provides characteristics and differences compared to conventional search engines, along with a frame of hybrid search engine.

• Journal of the Korean Society for information Management
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• v.18 no.2
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• pp.143-164
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• 2001

The purpose of this study is to suggest the guidelines for organizing and maintaining their subject directory search engines which serve effective search results of web documents. The methods of this study are to review and analyze some directory search engines for finding problems of them and review literatures concerned with classification theory and previous studies. As results, this study suggests the guidelines for preparing the systematic subject directory scheme that is adapted to the internet directory search engines related to general andlor special subject fields through using the above guidelines.

• Journal of Korean Library and Information Science Society
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• v.39 no.2
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• pp.375-405
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• 2008

Recently, children's internet search engines are becoming the main method to access information. For those engines to function properly, search behavior of children as their searchers should be studied and the findings be applied to design and improve the systems. So an experiment was conducted and 22 3rd-grade elementary school students performed 3 searching tasks through 'Junior Naver' and 'Yahoo!꾸러기' which are representative children's search engines in Korea. Children's searching behavior was analyzed thoroughly through which the problems of children's search engines were diagnosed and recommendations were suggested to improve them.

• Journal of Information Management
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• v.31 no.4
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• pp.50-70
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• 2000

Since the contents of internet resources are beginning to include texts, images and sounds, different Web-based image search engines have been developed accordingly. It is a fact that these diversities of multimedia contents have made search process and retrieval of relevant information very difficult. The purpose of the study is to compare and evaluate its special features and performance of the existing image search engines in order to provide user help to select appropriate search engines. The study selected AV Photo Finder, Lycos MultiMedia, Amazing Picture Machine, Image Surfer, WebSeek, Ditto for comparison and evaluation because of their reputations of popularity among users of image search engines. The methodology of the study was to analyze previous related literature and establish criteria for the evaluation of image search engines. The study investigated characteristics, indexing methods, search capabilities, screen display and user interfaces of different search engines for the purpose of comparison of its performance. Finally, the study measured relative recall and precision ratios to evaluate their electiveness of retrieval under the experimental set up. Results of the comparative analysis in regard to its search performance are as follows. AV Photo Finder marked the highest rank among other image search engines. Ditto and WebSeek also showed comparatively high precision ratio. Lycos MultiMedia and Image Surfer follows after them. Amazing Picture Machine stowed the lowest in ranking.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2002.11a
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• pp.266-272
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• 2002

Recently various of information suppliers provide information via WWW so the necessary of search engine grows larger. However the efficiency of most search engines is low comparatively because of using simple pattern match technique between user's query and web document. And a manifest contents of query for special expert field so much worse A specialized search engine returns the specialized information depend on each user's search goal. It is trend to develop specialized search engines in many countries. For example, in America, there are a site that searches only the recently updated headline news and the federal law and the government and and so on. However, most such engines don't satisfy the user's needs. This paper proposes the specialized search engine for ocean information that uses user's query related with ocean and search engine uses the association rules in web data mining. So specialized search engine for ocean provides more information related to ocean because of raising recall about user's query

• Journal of the Korean Society for Library and Information Science
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• v.31 no.2
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• pp.177-197
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• 1997

The study measured whether two search engines retrieve different Web documents for 6 queries. Two different search engines, Alta Vista in terms of keyword search engines and Yahoo in terms of subject directory engines were measured using as criteria, total number of documents retrieved, total number of relevant documents retrieved, recall and precision ratios. In addition, Alta Vista was suitable for specific and technical terms, while Yahoo was effective for general and plain terms. However, more elaborate research needs to be tested in terms of query characteristics.