• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.1
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• pp.115-121
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• 2010

As internet becomes widespread, a lot of information is opened to public and users of Internet can access effectively information using web searching service. To construct web searching service, the web searching method for collecting of information is needed to obtain web page view. As a number of web page view increases, it is necessary to collect information of high quality information to be searched, therefore, a variety of web engine for searching mechanism is developed. Method of link extraction with javascript in dynamic web page and design of web searching robot are presented m this paper. To evaluate performance analyzes, we fixed one searching model with the proposed method. The searching time takes 2 minute 67 sec for 299 web pages and 12.33 sec for 10 searching model.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.12
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• pp.2595-2602
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• 2009

In this paper, we proposed and implemented web robot using active script engine with internet explore to process javascript function link, which is not processing in conventional web searching robot. This web searching robot is developed to measure collecting amount of web searching robot with processing of javascript function link. We analysed the architecture of web searching robot with google and naybot to develope web searching robot, implemented element of configuration applicable to searching robot and designed with distributed processing type. In addition to, we estimated the proposed web robot employing javascript processing model and analysed the comparison of collecting amount of web site board using javascript. We obtained the result of 1,000 web page collecting compared to conventional method in case of 1,000 web site board.

• Journal of the Korean Society for information Management
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• v.21 no.3
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• pp.203-225
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• 2004

This study is to investigate the characteristics of the Invisible Web and many search services designed to serve as gateways to the Invisible Web and to evaluate searching the Invisible Web in the Services. The four services for searching the Invisible Web were selected to search the Invisible Web with 11 queries, that are Google as portals, ProFusion and Search.com as Invisible Web meta search engines, and IncyWincy as Invisible Web search engines. It was found that the effectiveness of Google's Invisible Web searching was better compared with the three Invisible Web search tools but the difference between the four systems was not significant((${\alpha}$=.055) The Invisible Web meta searching was better than the Web meta searching in the three search tools at the statistically significant level. The effectiveness measurement based on the ranks and relevance degree(quality) of relevant documents retrieved seemed appropriate to the ranked search results.

• Journal of the Korean Society for Library and Information Science
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• v.41 no.1
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• pp.231-242
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• 2007

Transaction logs capture the interactions between online information retrieval systems and the users. Given the nature of the Web and Web users, transaction logs appear to be a reasonable and relevant method to collect and investigate information searching behaviors from a large number of Web users. Based on a series of research studies that analyzed Naver transaction logs, this study examines how transaction log analysis can be applied and contributed to the field of web searching and suggests future implications for the web searching field. It is expected that this study could contribute to the development and implementation of more effective Web search systems and services.

• Journal of the Korean Society for information Management
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• v.20 no.3
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• pp.81-110
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• 2003

The primary questions addressed by this research are the followings: Has the interface of a Web-based OPAC been improved more user-friendly; How about its searching abilities; What difficulties have Web-based OPAC searchers experienced in using a Web OPAC; How do they perceive the system after use of it. Finding the answers of those questions the problems of a Web OPAC as a searching tool have been grasped and recommendations have been suggested in order to improve the system. An experiment was conducted and 30 university students performed 8 searching tasks. The searching behavior of Web OPAC searchers has been analyzed thoroughly. The data of their perceptions about the system was collected through a questionnaire after completing the tasks.

• Journal of the Korean Society for information Management
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• v.24 no.2
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• pp.29-44
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• 2007

The purpose of this study was to explore whether the concept of amount of invested mental effort (AIME) developed in the field of educational psychology can help explain why people put so little effort into online searching. In this experimental study, two information retrieval systems - a web search engine and a university library system - were used to make a comparison. The data were collected from 15 undergraduate students through background questionnaires, think-aloud protocols, search logs, post-search questionnaires, and post-task interviews. The findings indicate that perception of the web's "easy-ness" and high levels of self confidence in searching capability led the subjects to put less effort into web searching than they do into library system searching. In addition, the perceived difficulty of search task influenced the extent of mental effort invested. The AIME proved a useful framework for understanding search behavior and user experience for both web search engines and library systems.

• The KIPS Transactions:PartD
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• v.11D no.5
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• pp.1049-1062
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• 2004

With the popularization of a World Wide Web (WWW), the quantity of web information has been increased. Therefore, an efficient searching system is needed to offer the exact result of diverse Information to user. Due to this reason, it is important to extract and analysis of user requirements in the distributed information environment. The conventional searching method used the only keyword for the web searching. However, the searching method proposed in this paper adds the context information of keyword for the effective searching. In addition, this searching method extracts keywords by the new keyword extraction method proposed in this paper and it executes the web searching based on a keyword mining profile generated by the extracted keywords. Unlike the conventional searching method which searched for information by a representative word, this searching method proposed in this paper is much more efficient and exact. This is because this searching method proposed in this paper is searched by the example based query included content information as well as a representative word. Moreover, this searching method makes a domain keyword list in order to perform search quietly. The domain keyword is a representative word of a special domain. The performance of the proposed algorithm is analyzed by a series of experiments to identify its various characteristic.

• Journal of Internet Computing and Services
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• v.8 no.5
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• pp.1-10
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• 2007

Recently, the web 2.0 services which appear by exponential extension of the Internet can be expressed with the changes in the quality of structural evolution and in the quantity of increasing users. The structural base is in user participational architecture, the web 2.0 services such as Blog, UCC, SNS(Social Networking Service), Mash-up, Long tail, etc. play a important role in organization of web, and grouping and searching of user participational data in web 2.0 is broadly used by folksonomy. Folksonomy is a new form that categorizes by tags, not classic taxonomy skill. it is made by user participation. Searching based on tag is now done by a simple text or a tag cloud method. But searching to consider and express the relations among each tags is imperfect yet. Thus, this paper provides the relational searching based on tags using the relational graph of tags. It should improve the trust of the searching and provide the convenience of the searching.

• Proceedings of the KSRS Conference
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• 2007.10a
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• pp.430-433
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• 2007

Spatial information has recently been recognized as one of the major subjects of interest in information technology. With increasing variety and quantity of spatial data on the web, searching and maintaining these data are becoming a much focussed area of research. Interoperability is the key technology in solving the complexities of spatial data in web services. The problem of maintenance and searching of spatial data in an interoperable web service environment can be solved by establishing standardized metadata of spatial information. Then using the standardized metadata, catalog web services can be deployed for autonomous searching and binding of spatial data. This study investigates the international standard for spatial data metadata(ISO/TC211 19115) and deployed catalog web service based on this metadata. Various heterogeneous spatial data of Seoul Metropolitan region were then used for experimental implementation of catalog web service.

• Journal of the Korean Society for Library and Information Science
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• v.52 no.3
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• pp.289-334
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• 2018

Even though information in many languages other than English is quickly increasing, English is still playing the role of the lingua franca and being accounted for the largest proportion on the web. Therefore, it is necessary to investigate the key features and differences between "information searching behavior using mother tongue as a search language" and "information searching behavior using English as a search language" of users who are non-mother tongue speakers of English to acquire more diverse and abundant information. This study conducted the experiment on the web searching which is applied in concurrent think-aloud method to examine the information searching behavior and the cognitive process in Korean search and English search through the twenty-four undergraduate students at a private university in South Korea. Based on the qualitative data, this study applied the frequency analysis to web search pattern under search language. As a result, it is active, aggressive and independent information searching behavior in Korean search, while information searching behavior in English search is passive, submissive and dependent. In Korean search, the main features are the query formulation by extract and combine the terms from various sources such as users, tasks and system, the search range adjustment in diverse level, the smooth filtering of the item selection in search engine results pages, the exploration and comparison of many items and the browsing of the overall contents of web pages. Whereas, in English search, the main features are the query formulation by the terms principally extracted from task, the search range adjustment in limitative level, the item selection by rely on the relevance between the items such as categories or links, the repetitive exploring on same item, the browsing of partial contents of web pages and the frequent use of language support tools like dictionaries or translators.