• Proceedings of the Korea Information Processing Society Conference
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• 2000.04a
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• pp.260-265
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• 2000

사용자 질의를 통한 검색엔진의 도움 없이 웹 데이터베이스의 개념을 도입하여, 웹을 직접 검색할 수 있는 웹 질의 엔진(Web Query Engine)을 제안한다. 특히 사용자가 자신이 원하는 질의를 할 수 있도록 기존의 질의 언어와 유사한 웹 질의 언어를 설계하고, 설계되어진 질의 언어를 사용하여 인덱스 서버에 정보의 요청 없이 네트워크 구조와 위상 기반의 질의를 할 수 있도록 하는 웹 질의 엔진을 설계 및 구현을 하였다.

• Journal of Digital Contents Society
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• v.11 no.1
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• pp.105-115
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• 2010

Search engines provide web documents that are related to user's query. However, using only the query terms that user provided, it is hard for search engines to know user's exact intention and provide the very matching web documents. To remedy this problem, search systems are needed to exploit personalized search technologies. In this paper, we propose not only a novel personalized query recommendation scheme based on folksonomy but also a new personalized search service architecture which reduces the risk of privacy violation while enabling search service providers to provide other various personalized services such as personalized advertisement.

• Proceedings of the Korean Society for Information Management Conference
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• 2002.08a
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• pp.131-138
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• 2002

본 고에서는 공학분야 중에서도 그 응용범위가 가장 광범위하다고 할 수 있는 기계공학분야의 이용자에게 수준 높은 웹 정보자원을 효율적으로 제공하기 위하여 검색엔진을 통하여 자동 수집된 웹 정보자원을 기계공학분야 주제전문가의 평가를 통해 핵심정보를 선정하고 이를 더블린코어 메타데이터를 응용한 베타데이터 요소에 따라 조직하여 웹 상의 검색 인터페이스에 의해 이용될 수 있도록 주제 게이트웨이 시스템을 설계하였다. 정보자원의 검색방법으로는 키워드 검색과 주제분류체계에 따른 브라우징 검색 등 두 가지 방법을 이용하였다.

• Proceedings of the Korean Information Science Society Conference
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• 1999.10b
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• pp.107-109
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• 1999

본 논문에서는 사용자를 대행할 수 있는 분산 다중 에이전트 기술을 이용한 웹 문서 검색 시스템을 설계 및 구현한다. 분산 환경에서의 에이전트 기술은 문서의 근접도를 평가할 때 기존의 웹 검색 엔진보다 복잡한 알고리즘 적용이 가능하며, 이로써 좀 더 정확한 문서들을 사용자에게 제공할 수 있다. 또한 분산환경으로 네트워크의 부하를 분산시킴으로써, 빠르게 자료검색 결과를 얻을 수 있는 장점이 있다. 분산된 시스템에서 에이전트들의 효율적인 통신을 위하여 프로토콜 레이어를 구현하였으며, 에이전트들의 상호 협동과 의사 소통 및 중재를 위한 하부구조(infrastructure)를 구축하여 웹 문서검색을 효과적으로 하고, 사용자 이동성을 가능하게 하였다.

• Journal of Internet Computing and Services
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• v.7 no.2
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• pp.71-80
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• 2006

In web search engines, there are two main methods: directory searching and keyword searching. Keyword searching shows high recall rate but tends to come up with too many search results to find which users want to see the pages. Directory searching has also a difficulty to find the pages that users want in case of selecting improper category without knowing the exact category, that is, it shows high precision rates but low recall rates. We designed and implemented a new web search engine to resolve the problems of directory search method. It regards a category as a fuzzy set which contains keywords and calculate the degree of inclusion between categories. The merit of this method is to enhance the recall rate of directory searching by expanding subcategories on the basis of similarity.

• Digital Contents
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• no.3 s.46
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• pp.80-83
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• 1997

디지털사의 알타비스타는 현재 인터넷상에서 가장 빠른 검색 서비스를 제공하는 검색엔진이라 할 수 있다. 25만여 서버와 3천만개 이상의 웹페이지 인덱스를 보유하고 있는 동시에 1만4천개 이상의 뉴스그룹에서 300만개 이상의 기사를 검색할 수 있다. 매일 알타비스타를 사용하는 건수도 1,200만건에 이르고 있는 알타비스타(URL : www.altavista.digital.com)에 대해 살펴봤다.

• Journal of KIISE:Software and Applications
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• v.37 no.2
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• pp.137-147
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• 2010

A blog is a website, usually maintained by an individual, with regular entries of commentary, descriptions of events, or other material such as graphics or video. Entries are commonly displayed in reverse chronological order. Blog search engines, like web search engines, seek information for searchers on blogs. Blog search engines sometimes output unsatisfactory results, mainly due to spam blogs or splogs. Splogs are blogs hosting spam posts, plagiarized or auto-generated contents for the sole purpose of hosting advertizements or raising the search rankings of target sites. This thesis focuses on splog detection. This thesis proposes a new splog detection method, which is based on blog post structure similarity and posting count per day. Experiments based on methods proposed a day show excellent result on splog detection tasks with over 90% accuracy.

• Journal of Digital Convergence
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• v.17 no.1
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• pp.209-217
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• 2019

In this paper, the purpose of this paper is to lay the foundation for the search system by using and building an online search engine suitable for the search domain and enabling search, conversion, integration and sharing of information. It is to use the ontology to infer hierarchical relationships, deduce objects based on that layer, and extract attributes to search areas that are relevant to the data that the user wants. In order to search for information in this way, the information search system was implemented by entering key words related to 'qualifications'. The implemented system arranged the meaning and relationship of each attribute online so that the general public can search information quickly, easily, and accurately. In addition, the implementation results were compared with two different search engines. Comparable search engines are Naver and Daum, the two major search engines. The search engine of this study, which was built using an ontology suitable for the search domain to perform searches using the semantic web, was evaluated to have excellent results. However, it is thought that a more formalized online location is necessary to increase the accuracy and reliability of search engines and to include more comprehensive categories of search terms.

• Journal of the Korea Society of Computer and Information
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• v.15 no.12
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• pp.101-108
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• 2010

In this paper, how fast and accurate the companies provides exponentially increasing information to the users is the most important in the corporate competitiveness. The enhancement of the retrieval relevance became the important element in enhancing company competitiveness and it is required to provide the services that are beyond simple retrieval service for good quality search service. This paper proposes the effective scheme that enhances retrieval relevance by utilizing registered tag information. By proposed scheme, we can overcome the limitations of retrieval relevance that usual search engines provide. And we compare the proposed scheme with existing web retrieval service on retrieval relevance evaluation and related search keyword.

• The Journal of the Korea Contents Association
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• v.13 no.1
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• pp.19-29
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• 2013

In the current Internet environment where there is high space complexity of information, search engines aim to provide accurate information that users want. But content-based method adopted by most of search engines cannot be used as an effective tool in the current Internet environment. As content-based method gives different weights to each web page using morphological characteristics of vocabulary, the method has its drawbacks of not being effective in distinguishing each web page. To resolve this problem and provide useful information to the users, this paper proposes an evaluation method based on categories. Category-based evaluation method is to extend query to semantic relations and measure the similarity to web pages. In applying weighting to web pages, category-based evaluation method utilizes user response to web page retrieval and categories of query and thus better distinguish web pages. The method proposed in this paper has the advantage of being able to effectively provide the information users want through search engines and the utility of category-based evaluation technique has been confirmed through various experiments.