• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.4
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• pp.145-151
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• 2015

Since we use internet every day, the internet privacy has become important. We need to find out what kinds of personal information is exposed to the internet and to eliminate the exposed information. However, it is not efficient to search the personal information using only fragmentary clues in web search engines because the ranking results are not relevant to the exposure degree of personal information. In this paper, we introduced a personal information retrieval system and proposed a process to remove private data from the web easily. We also compared our proposed method with previous methods by evaluating the search performance.

• The KIPS Transactions:PartB
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• v.11B no.3
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• pp.369-380
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• 2004

In this paper, we propose a web page weighting scheme based on WordNet-based collaborative evaluation and hyperlink to improve the precision of web search engine. Generally search engines use keyword matching to decide web page ranking. In the information retrieval from huge data such as the Web, simple word comparison cannot distinguish important documents because there exist too many documents with similar relevancy. In this paper, we implement a WordNet-based user interface that helps to distinguish different senses of query word, and constructed a search engine in which the implicit evaluations by multiple users are reflected in ranking by accumulating the number of clicks. In accumulating click counts, they are stored separately according to lenses, so that more accurate search is possible. Weighting of each web page by using collaborative evaluation and hyperlink is reflected in ranking. The experimental results with several keywords show that the precision of proposed system is improved compared to conventional search engines.

• 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.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.1
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• pp.38-46
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• 2009

With the rapid increase in the number of Web documents, the problem of information overload is growing more serious in Internet search. In order to ease the problem, researchers are paying attention to personalization, which creates Web environment fittingly for users' preference, but most of search engines produce results focused on users' queries. Thus, the present study examined the method of producing search results personalized based on a user's understanding level. A characteristic that differentiates this study from previous researches is that it considers users' understanding level and searches documents of difficulty fit for the level first. The difficulty level of a document is adjusted based on the understanding level of users who access the document, and a user's understanding level is updated periodically based on the difficulty of documents accessed by the user. A Web search system based on the results of this study is expected to bring very useful results to Web users of various age groups.

• Journal of Internet Computing and Services
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• v.3 no.2
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• pp.97-108
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• 2002

A user with a specific information need will often need to query several search engines before finding relevant documents. To address the problem of navigating the search engines, agents are used. In general, an agent is a program that can perform a particular task automatically, when appropriate or upon request by another program. In this paper, we design and implement the education information search system for children: using Information gathering agent that is called Edulnfo4k. The information gathering agent periodically visits several portal web sites for children: Ggureogi of Yahoo Korea, Junior of Naver and Gaegujaengi of Hanmir, collects the education or learning information for children, stores the collected information into database. Then, causal users can search the education information for children from database through a uniform user interface, conveniently. As the result, we know that Edulnfo4k provides integrated search without query in several search engines.

• Proceedings of the Korean Society for Information Management Conference
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• 1998.08a
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• pp.69-72
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• 1998

웹 검색엔진은 정확률 향상을 위해 기존 검색시스템의 다양한 기법을 도입하고 있으며, 그 중 Excite, Webcrawler, Magellan 등은 적합성 피드백 기능을 적용한 서비스를 제공하고 있다. 본 연구에서는 이 기능이 초기검색의 검색효율을 어느 정도 향상시켜 줄 수 있는지 실험하고, 그 결과를 바탕으로 적합성 피드백 기능 강화를 위한 제안을 하고자 한다.

• The KIPS Transactions:PartA
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• v.13A no.6 s.103
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• pp.545-554
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• 2006

Although the current Web search engines provide tremendous information, it is hard to find right information among the huge information. Users need to spend extra time to filter out unnecessary information. In order to overcome the limit of current Web search engines, Semantic Web was developed to provide efficient search, integration, and reuse of information by structuring semantic information from Web resources. In this paper, an elementary education contents retrieval system using Semantic Web is proposed. The proposed system emphasizes history contents that have high relevancy among data. For construction of the proposed system, ontology is proposed first for elementary study contents and ontology for historical contents is proposed for easy access to those contents using semantic relation among them. Based on the ontology, the proposed system is designed and implemented. The proposed system has the following characteristics. First, the system provides various query formats in detail so that search results can be refined efficiently. Second, the system presents only semantically information connected with key words or including key words using study contents ontology. Finally, the proposed system can increase study effects by presenting various contents that are related with query by users.

• Journal of the Korea Computer Industry Society
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• v.4 no.12
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• pp.1093-1102
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• 2003

The dynamic nature of the World Wide Web challenges Search engines to find relevant and recent pages. Obtaining important pages rapidly can be very useful when a crawler cannot visit the entire Web in a reasonable amount of time. In this paper we study way spiders that should visit the URLs in order to obtain more “important” pages first. We define and apply several metrics, ranking formula for improving crawling results. The comparison between our result and Breadth-first Search (BFS) method shows the efficiency of our experiment system.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.8 no.5
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• pp.1028-1034
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• 2004

As use of internet generalized laying stress on WWW(World Wide Web) service of multimedia based recently, we could acquire many informations that exist to all over the world's computer network. It is risen to important problem that use of internet acquires correct information rapidly on modem society which is generalized. This paper designed internet search engine and understand structure of that drawing URL which is optimized, and secure embodiment technology using OOPL(Object-Oriented Programming Language). Also, compare with existent domestic manufacture search engines and system that propose showed that the bad link rate is improved in this paper.

• Genomics & Informatics
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• v.17 no.2
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• pp.14.1-14.6
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• 2019

The total number of scholarly publications grows day by day, making it necessary to explore and use simple yet effective ways to expose their metadata. Schema.org supports adding structured metadata to web pages via markup, making it easier for data providers but also for search engines to provide the right search results. Bioschemas is based on the standards of schema.org, providing new types, properties and guidelines for metadata, i.e., providing metadata profiles tailored to the Life Sciences domain. Here we present our proposed contribution to Bioschemas (from the project "Biotea"), which supports metadata contributions for scholarly publications via profiles and web components. Biotea comprises a semantic model to represent publications together with annotated elements recognized from the scientific text; our Biotea model has been mapped to schema.org following Bioschemas standards.