• Journal of the Korean Institute of Oriental Medical Informatics
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• v.15 no.1
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• pp.1-10
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• 2009

In these days everyone search the information easily with the Internet as the rapid distribution and active usage of the Internet. The search engines were developed specially to accuracy of information retrieval. User search the information more quickly and variously with them. The search portal system will be embossed with representation and basic services. The Internet user needs the result of text, image and video, knowledge search. The keyword based search is used generally for getting result of the information retrieval and another method is category based search. This paper investigates the classification of knowledge search structure for oriental medicine in market leader of search portal system by ranking web site. As a result, each classification system is unified and there is a possibility of getting up a many confusion to the user who approaches with classification systematic search method. This treatise proposed the improved oriental medicine classification system of internet information retrieval in knowledge search area. if the service provider amends about the classification system, there will be able to guarantee the compatibility of data. Also the proper access path of the knowledge which seeks is secured to user.

• Journal of Internet Computing and Services
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• v.12 no.2
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• pp.63-73
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• 2011

In general, conventional search engines provide the same search results for the same queries of users, and however such techniques do not consider users' characteristics. To overcome this problem, we need a new way of personalized search which returns customized search results according to users' preference. In this paper, we propose a concept network profile-based personalized web search system in which the concept network is developed for accumulating users' characteristics. The concept network-based user profile is used to expand initial search queries to achieve personalized search. The concept network is a network structure of concepts where each concept is generated whenever each query is submitted, and it can be defined as a set of keywords extracted from the selected documents. Furthermore, we have improved the concept networks by augmenting intent keywords of each concept with a set of classification tags, called folksonomy, assigned to each document. For an additional personalized search technique, we propose a new re-ranking method that analayzes the degree of overlapped search results.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2002.11a
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• pp.287-296
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• 2002

웹 사용 마이닝은 데이터마이닝을 바탕으로 사용자의 로그 파일 정보를 이용하여 웹이 이용되는 패턴을 발견한다. 이를 이용하여 웹을 개선하여 사용자들이 보다 빨리 원하는 내용을 검색할 수 있도록 할 수 있으며 시스템 관리자에게는 효율적인 웹 구조를 인한 정보를 제공할 수 있다. 웹 사용 마이닝에서 사용하는 데이터는 성형화되어 있지 않으며 웹 사용 패턴을 분석하는데 방해가 되는 잡음 데이터까지 포함하고 있다. 이것은 기존에 개발된 여러 데이터마이닝 기법을 적용하는데 어려움으로 작용한다. 이러한 어려움을 해결하기 위해 본 논문에서는 새로운 방법을 도입한 SPMiner을 .제안한다. SPMiner는 웹의 구조를 이용하여 로그 파일의 전처리 과정을 줄이며 사용자의 탐색 패턴 분석을 효율적으로 수행 할 수 있는 시스템이다. SPMiner는 WebTree 에이전트를 이용하여 웹 사이트 구조를 분석하여 WebTree를 생성하고 사용자 로그 파일을 분석하여 각 웹 페이지의 사용빈도에 대한 정보를 추출한다. WebTree와 로그 파일에서 추출된 웹 페이지에 대한 정보는 SPMiner에 의해 패턴을 분석할 퍼 이용될 수 있는 형태인 WebTree$^{+}$로 병합된다 WebTree$^{+}$는 패턴 발견을 쉽게 해주며 사용자에게 추천할 정보나 웹 페이지를 능동적으로 추천할 수 있게 만들어 준다.

• Journal of KIISE:Software and Applications
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• v.37 no.8
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• pp.620-628
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• 2010

With the use of the Internet pervasive in everyday life, people are now able to retrieve a lot of information through the web. However, exponential growth in the quantity of information on the web has brought limits to online search engines in their search performance by showing piles and piles of unwanted information. With so much unwanted information, web users nowadays need more time and efforts than in the past to search for needed information. This paper suggests a method of using query expansion in order to quickly bring wanted information to web users. Popularity based Term Weight Mensuration better performance than the TF-IDF and Simple Popularity Term Weight Mensuration to experiments without changes of search subject. When a subject changed during search, Popularity based Term Weight Mensuration's performance change is smaller than others.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.2
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• pp.690-696
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• 2016

Search engines that rely on morphological matching of user query and web document content do not support individual interests. This research proposes a personalized web search scheme that returns the results that reflect the users' query intent and personal preferences. The performance of the personalized search depends on using an effective user profiling strategy to accurately capture the users' personal interests. In this study, the user profiles are the databases of topic words and customized weights based on the recent user queries and the frequency of topic words in click history. To determine the precise meaning of ambiguous queries and topic words, this strategy uses WordNet to calculate the semantic relatedness to words in the user profile. The experiments were conducted by installing a query expansion and re-ranking modules on the general web search systems. The results showed that this method has 92% precision and 82% recall in the top 10 search results, proving the enhanced performance.

• Journal of the Korean Society for Library and Information Science
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• v.51 no.2
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• pp.255-279
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• 2017

In a qualitative approach, this study investigated users' perceptions associated with their satisfactions in the process of using the scholarly resource search functions of the academic version of the NAVER search engine. For this study, the data was collected from a group of undergraduate students, who conducted academic information searches in the field of own major disciplinary areas, using the Web portal. Based on the data, students' satisfactions and dissatisfactions along with the reasons of their perceptions were analyzed. The results presented users' perceptions in various evaluation criteria based on the three major domains: system interfaces, retrieval mechanisms and search results. Based on the results, the study proposed the following suggestions: 1) the enhancements of the system interfaces and HELP guidances based the limited user knowledge on basic system terminologies 2) the improvements of the retrieval mechanisms associated with understanding the contexts of the search terms presented by users 3) the necessity of the user education due to the insufficient user knowledge of the retrieval mechanisms and the search functions.

• Journal of Korean Society of Archives and Records Management
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• v.11 no.1
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• pp.93-112
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• 2011

This study investigated whether search terms analysis of archival Web sites could be utilized effectively for archival information services. The focus was on designing a methodology which brings the search terms analysis and development of archival information services closer, especially for the contents services. The data were collected from the Presidential Archives because it can be characterized as a public archives as well as subject archives. It also tends to draw interests from a broad range of general public. The analysis was conducted with respect to three dimensions: (1) general search terms; (2) names of individual president; (3) subject categories of search terms. The results of search terms analysis have a number of practical implications for developing archival information services including contents services, decision on the menu of the Web sites, exhibition, and education.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.24 no.7B
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• pp.1331-1341
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• 1999

This paper propose WebDBs(Web Database system) which retrieves information registered in web using query language similar to SQL. This proposed system automatically extracts information which is needed to retrieve from HTML documents dispersed in web. Also, it has an ability to process SQL based query intended for the extracted information. Web database system takes the most of query processing time for capturing documents going through network line. And so, the information previously retrieved is reused in similar applications after stored in cache in perceiving that most of the web retrieval depends on web locality. In this case, we propose cache mechanism adapted to user applications by storing cached information associated with retrieved query. And, Web search engine is implemented based on these concepts.

• Journal of Digital Convergence
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• v.11 no.12
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• pp.353-359
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• 2013

The search method that web services offers has its limitations. The search service considers only functional factors based on the client's preferences. In order to improve the web service search - which alone only considers functional factors - our research introduces an execution phase which performs both functional and non-functional factors by utilizing WSDL and matching information. Our research studies the architecture of both the service selecting method and the selecting process to help determine the best service solution for the client. We do so, taking into consideration the client's preferences. Our research also studies selecting methods for the best overall service. This service not only considers the matching of functional factors provided by the web service's selecting process, but it is also accommodating by matching the information as defined by the client. This paper research can offer the best quality service preferred by any end-user. Again, this is done by utilizing web services that considers the user's non-functional factors identified by the web service's selecting process and also by extracting matching information.

• Clinics in Shoulder and Elbow
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• v.26 no.3
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• pp.238-244
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• 2023

Background: Many patients use online resources to educate themselves on surgical procedures and make well-informed healthcare decisions. The aim of our study was to evaluate the quality and readability of online resources exploring shoulder arthroplasty. Methods: An internet search pertaining to shoulder arthroplasty (partial, anatomic, and reverse) was conducted using the three most popular online search engines. The top 25 results generated from each term in each search engine were included. Webpages were excluded if they were duplicates, advertised by search engines, subpages of other pages, required payments or subscription, or were irrelevant to our scope. Webpages were classified into different source categories. Quality of information was assessed by HONcode certification, Journal of the American Medical Association (JAMA) criteria, and DISCERN benchmark criteria. Webpage readability was assessed using the Flesch reading ease score (FRES). Results: Our final dataset included 125 web pages. Academic sources were the most common with 45 web pages (36.0%) followed by physician/private practice with 39 web pages (31.2%). The mean JAMA and DISCERN scores for all web pages were 1.96±1.31 and 51.4±10.7, respectively. The total mean FRES score was 44.0±11.0. Only nine web pages (7.2%) were HONcode certified. Websites specified for healthcare professionals had the highest JAMA and DISCERN scores with means of 2.92±0.90 and 57.96±8.91, respectively (P<0.001). HONcode-certified webpages had higher quality and readability scores than other web pages. Conclusions: Web-based patient resources for shoulder arthroplasty information did not show high-quality scores and easy readability. When presenting medical information, sources should maintain a balance between readability and quality and should seek HONcode certification as it helps establish the reliability and accessibility of the presented information. Level of evidence: IV.