• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.376-379
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• 2011

본 연구에서는 사용자 검색로그를 분석하여 사용자의 검색 목적에 따라 분류하고 그 안에 내제되어 있는 사용자의 검색 의도를 찾고자 하였다. 분석은 질의어 110개에 대한 검색로그를 기반으로 검색 목적에 따라 Navigational, Informational, Transactional로 분류하였다. 또한, 질의어를 카테고리별로 분류하였으며 각 결과를 가지고 사용자 검색 의도가 내제되었는지에 대하여 분석하였다. 분석 결과 각 질의어에 따른 검색 목적에 따라서 분포는 다르지만 검색 목적에 따른 검색 의도가 3가지 모두 내제되어 있음을 알 수 있었다. 또한, Informational의 경우에는 질의어에 대한 서로 다른 정보가 나타났으며, 질의어 안에서 사용자의 검색 의도가 나타남을 확인할 수 있었다.

• Journal of Korea Society of Industrial Information Systems
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• v.17 no.2
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• pp.65-72
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• 2012

In the 21st century of information systems, the amount of information resources are ever increasing and the role of information searching system is becoming criticalto easily acquire required information from the web. Generally, it requires the user to have enough pre-knowledge and superior capabilities to identify keywords of information to effectively search the web. However, most of the users undertake searching of the information without holding enough pre-knowledge and spend a lot of time associating key words which are related to their required information. Furthermore, many search engines support the keywords searching system but this only provides collection of similar words, and do not provide the user with exact relational search information with the keywords. Therefore this research report proposes a method of offering expanded user relationship search keywords by analyzing user query patterns to provide the user a system, which conveniently support their searching of the information.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37 no.7C
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• pp.619-626
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• 2012

With the service suggesting additional extended or related query, search engines aim to provide their users more convenience. The extended or related query suggestion service based on popularity, or by how many people have searched on web using the query, has limitations to elevate users' satisfaction, because each user's preference and interests differ. This paper will demonstrate the design and realization of the system that suggests extended query appropriate for users' demands, and also an improvement in the computing process between entering the first search word and the subsequent extension to the related themes. According to the evaluation the proposed system suggested 41% more extended or related query than when searching on Google, and 48% more than on Yahoo. Also by improving the shortcomings of the extended or related query system based on general popularity rather than each user's preference, the new system enhanced users' convenience further.

• Journal of Internet Computing and Services
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• v.12 no.5
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• pp.171-179
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• 2011

In this paper it is hypothesized that word stimuli that are presented by Google’s search word, would improve the quality of the design solution, so this research examines the effect of related search word stimuli in concept generation and analyzes the results through the processes of creative cognition. In the process of concept generation, words are given as stimuli which are generated through Google's related search and these search words are given by 5 levels. Google search is based on the collaboration philosophy. People's participation and contribution recreate knowledge and information, so these renewed and related search words update in real time by people are used as stimuli. Two problems are provided with related search words. After the design concept generation the results are analyzed by 3 bases: the usage of related search words and those of frequency, creativity, and Finke's 12 Geneplore model. These are the results of the research. Many levels of related search words are used in design concept generation but especially higher levels which are more related to search words are more used than lower levels. The usage of multi words and conjunction with higher levels and lower levels words are observed in creative results. On the creative cognitive processes, it is more creative when using association and mental transformation with the related search words than using the related search words simply. Creative outputs also use conceptual interpretation, functional inference, and contextual shifting of creative cognitive processes of Finke's 12 Geneplore model.

• Journal of Digital Convergence
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• v.16 no.12
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• pp.335-342
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• 2018

The search service, which is a core service of the portal site, presents search queries that are rapidly increasing among the inputted search queries based on the highest instantaneous search frequency, so it is difficult to immediately notify a search query having a high degree of interest for a certain period. Therefore, it is necessary to overcome the above problems and to provide more intelligent information retrieval service by bringing improved analysis results on the change of the search queries. In this paper, we present the criteria for measuring the interest, continuity, and attention of real-time search queries. In addition, according to the criteria, we measure and summarize changes in real-time search queries in hours, days, weeks, and months over a period of time to assess the issues that are of high interest, long-lasting issues of interest, and issues that need attention in the future.

• Journal of the Korean Society for information Management
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• v.35 no.1
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• pp.183-203
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• 2018

As the users' information use environment changes to the Web, the archives are providing more services on the Web than before. This study analyzes the users' recent inflow route and the highly ranked 100 search terms of each month for 10 and half years in the Web site of National Archives of Korea, and suggests suitable information services. As a result of the analysis, it was found out that the inflow route could be divided into access from portal site, by country, from related institutions, and via mobile platform. As a result of analyzing the search terms of users for the last 10 and half years, the most frequently searched term turned out to be 'Land Survey Register', which was also the search term that was searched for with steady interests for 10 and half years. Also, other government documents or official gazettes were of great interests to users. As results of identifying the most frequently searched and steadily searched terms, we were able to categorize the search terms largely in terms of land, Japanese colonial period, the Korean war and relationship of North Korea and South Korea, and records management and use. Based on the results of the analysis, we suggested strengthening connection of the National Archives Web site with portal sites and mobile, and upgrading and improving search services of the National Archives. This study confirmed that the analysis of Web log and user search terms would yield meaningful results that could enhance the user services in archives.

• Journal of the Korea Computer Industry Society
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• v.4 no.10
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• pp.703-712
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• 2003

Today, documents existing on internet by the development of communication network increase in number. And it is required the information retrieval system that can efficiently acquire the necessary information. Most information retrieval systems retrieve documents using a simple keyword or a boolean query of keywords. But, the method is not fit for novice users to use and has many difficulties than user's dialogue query from the viewpoint of convenience and precise understanding for query. So, this paper has an aim to suggest the method that will cope with above problems and to design and implement a meta query processing system for information retrieval using Korean dialogue sentences. The system implemented in this paper can generates a new boolean query for a given Korean dialogue sentence and resolve lexical ambiguities through morphological analysis, syntactic analysis and extension of query using thesaurus.

• Annual Conference on Human and Language Technology
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• 1998.10c
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• pp.81-87
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• 1998

본 연구에서는 정보검색시스템의 모델로 문서 클러스터를 이용한 재순위화 모델을 제시한다. 이 방법은 검색단계와 분석단계로 이루어지는데, 검색단계에서는 역화일기법을 이용해서 질의어를 포함하는 문서들을 검색하여 질의어-문서 유사도에 따라 순위를 결정한다. 분석단계에서는 이미 구축된 문서 클러스터를 이용해서 검색되어진 문서들의 분석을 통해 질의어-클러스터 유사도를 계산한다. 질의어-문서 유사도와 질의어-클러스터 유사도를 결합하고, 이 유사도에 기반해서 문서들을 재순위화한다. 이때 이용하는 클러스터는 정적 클러스터이고, 질의어에 따라 서로 다른 클러스터를 생성하는 동적인 뷰를 제공한다. 재순위화 모델은 역화일 기법과 클러스터 분석기법이 가지는 장점을 결합하여 질의어 뿐만 아니라 문서에 포함된 모든 단어들을 분석함으로써 문서의 문맥을 고려할 수 있다. 제안하는 모델은 역화일 기법을 이용한 검색 결과에 비해서 우수한 성능 향상을 나타내고 있다.

• Proceedings of the Korean Information Science Society Conference
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• 2000.04b
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• pp.384-386
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• 2000

Posting file은 문서 내의 색인어와 색인어의 위치 정보-문장번호, 어절 번호 등으로 구성한 문서별 색인어 역파일(inverted file)이다. 본 논문에서는 posting file을 구성하고 이를 정보검색시스템에 적용하여 색인어의 어절 거리 계산에 의해 구절 검색이 가능한 정보검색시스템을 소개한다. 또한 사용자 질의문과 가장 유사한 문장을 검색결과 대표문장으로 제시하여 사용자가 검색결과를 쉽게 확인할 수 있는 방법을 제시한다.

• Journal of the Korean Society for information Management
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• v.26 no.4
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• pp.81-92
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• 2009

This paper proposes a technique for improving performance using word senses and user feedback in web information retrieval, compared with the retrieval based on ambiguous user query and index. Disambiguation using query word senses can eliminating the irrelevant pages from the search result. According to semantic categories of nouns which are used as index for retrieval, we build the word sense knowledge-base and categorize the web pages. It can improve the precision of retrieval system with user feedback deciding the query sense and information seeking behavior to pages.