• Journal of the Korean Society for information Management
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• v.16 no.3
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• pp.65-82
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• 1999

Internet users are often frustrated when they try to find“right”piece of information quickly. The reason is that the discovery of available and quality based-resources becomes more difficult to end users while the Internet continues to expand rapidly. Not only incorrect keywords and query expression but word sense ambiguation are the cause of dropping-off in efficiency on Internet search. In this paper, studies were conducted to analyze dropping off in efficiency fir Internet search and discussed reducing user s frustration of the Internet and improving their search strategies.

• Journal of Information Technology Services
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• v.17 no.2
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• pp.129-142
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• 2018

Recently, the number of patent applications have been increasing rapidly every year as the importance of protecting intellectual property rights becomes more important. Patents must be inventive and have novelty. Especially, the novelty implies that the corresponding invention is not the same as the previous invention. To confirm the novelty, prior art search must be conducted before and after the application. The target of prior art search should include not only Korean patents but also foreign patents. Search of foreign patents should be supported by multilingual search techniques. However, a dictionary-based naive approach shows a limitation because some technical concepts are represented in different terms according to each nation. For example, a Korean term and a Japanese term may not be synonym even though they represent the same technical concept. In this paper, we propose a new method to map semantic similarity between technical terms in Korean patents and Japanese patents. To investigate different representations in each nation for the same technical concept, we identified and analyzed pairs of patents those are mutually connected with priority claim relationship. By performing an experiment with real-world data, we showed that our approach can reveal semantically similar technical terms in other language successfully.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.11 no.2
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• pp.41-49
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• 2011

This paper introduces a new search model which can retrieve information instantly and easily about a given search word on Internet and control search spaces diversely. In the existing web searches, because the user has to stop his work, run web browsers, connect to special internet sites, and type the search word by keyboard. it is a long way and not a simple way. Also the search result is too much. The user suffers difficulties of multiple searches for different categories such as dictionary, image, video clips, etc. The software implemented in this paper enables for the user to select search word simply at any documents on the screen and make search started by simply pressing CRTL key and left button of the mouse simultaneously. The software is a mash up style using the Open API which is provided by a web site and can be freely available in any other sites. By calling different Open APIs of several web sites, the mash-up software can integrate search functions of many different sites. We evaluate that the software implemented in this paper will be a good reference of mash-up as one with characteristics of easy and instant search, simple result, diversity of search category, and scalability of search functions.

• 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.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.8
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• pp.918-932
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• 2011

This research examines shopping motives, information search of e-fashion consumers and their behavioral intentions (word of mouth, repurchase and site switching intentions). The survey was conducted from December $17^{th}$ 2010 to January $5^{th}$ 2011 and all respondents had previous experiences with on-line purchase of fashion items. The study finds that an information search has three dimensions, recreational search, informative search, and rational search. The effects of both hedonic and utilitarian shopping motives on information search and behavioral intentions are significant. In addition, recreational and informative search have a positive impact on word of mouth and site switching intentions, while repurchase intention is influenced by an informative search. Rational search has a positive effect on switching intention only. Finally, there are significant differences by gender in shopping motives, information search and behavioral intentions.

• Journal of KIISE:Software and Applications
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• v.37 no.3
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• pp.214-221
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• 2010

The search-results clustering problem is defined as the automatic and on-line grouping of similar documents in search results returned from a search engine. In this paper, we propose a new search-results clustering algorithm specialized for a paper search service. Our system consists of two algorithmic phases: Category Hierarchy Generation System (CHGS) and Paper Clustering System (PCS). In CHGS, we first build up the category hierarchy, called the Field Thesaurus, for each research field using an existing research category hierarchy (KOSEF's research category hierarchy) and the keyword expansion of the field thesaurus by a word clustering method using the K-means algorithm. Then, in PCS, the proposed algorithm determines the category of each paper using top-down and bottom-up methods. The proposed system can be used in the application areas for retrieval services in a specialized field such as a paper search service.

• 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 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 applied mathematics & informatics
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• v.10 no.1_2
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• pp.333-351
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• 2002

This paper introduces a search method based on conceptual graph. A hyperlink information is essential to construct conceptual graph in web. The information is very useful as it provides summary and further linkage to construct conceptual graph that has been provided by human. It also has a property which shows review, relation, hierarchy, generality, and visibility. Using this property, we extracted the keywords of web documents and made up of the conceptual graph among the keywords sampled from web pages. This paper extracts the keywords of web pages using anchor text one out of hyperlink information and makes hyperlink of web pages abstract as the link relation between keywords of each web page. 1 suggest this useful search method providing querying word extension or domain knowledge by conceptual graph of keywords. Domain knowledge was conceptualized knowledged as the conceptual graph. Then it is not listing web documents which is the defect of previous search system. And it gives the index of concept associating with querying word.

• Annual Conference on Human and Language Technology
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• 2007.10a
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• pp.189-193
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• 2007

In this paper, we designed a methodology to expand the WordNet. We added unknown terms like IT technical terms to the existing WordNet by using web search. The WordNet is an online taxonomy representing the relationships among terms, but it usually showed limitation to contain new technical terminologies. That's why we tried to expand the WordNet. Firstly, when we met unregistered terms in WordNet, we built a query of those terms for web search. Given a web search results, we tried to find out terms with a high-level relatedness with the unregistered terms. We used the Korean Morphological Analyzer to score the relatedness between terms and located the unregistered term as a hyponym of terms with high score of relatedness.