• 한국컴퓨터정보학회논문지
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• 제22권12호
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• pp.117-123
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• 2017

The personalized search algorithm is a search system that analyzes the user's IP, cookies, log data, and search history to recommend the desired information. As a result, users are isolated in the information frame recommended by the algorithm. This is called 'Filter bubble' phenomenon. Most of the personalized data can be deleted or changed by the user, but data stored in the service provider's server is difficult to access. This study suggests a way to neutralize personalization by keeping on sending random query words. This is to confuse the data accumulated in the server while performing search activities with words that are not related to the user. We have analyzed the rank change of the URL while conducting the search activity with 500 random query words once using the personalized account as the experimental group. To prove the effect, we set up a new account and set it as a control. We then searched the same set of queries with these two accounts, stored the URL data, and scored the rank variation. The URLs ranked on the upper page are weighted more than the lower-ranked URLs. At the beginning of the experiment, the difference between the scores of the two accounts was insignificant. As experiments continue, the number of random query words accumulated in the server increases and results show meaningful difference.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제9권6호
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• pp.195-204
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• 2020

현재 웹에서 존재하는 웹페이지는 16억개 이상이며 이중에서 원하는 검색결과를 얻기란 쉽지 않은 일이다. 대부분의 검색엔진에서는 정밀한 검색결과를 제공하기 위하여 논리식의 형태로 검색할 수 있게 하고 있다. 하지만 일반적인 경우 사람들은 원하는 정보를 논리식 형태로 검색하는데 익숙하지 않다. 때문에 복잡한 논리식 형태로 검색하기 보다는 자연어로 검색한다. 따라서 본 논문에서는 사용자가 입력하는 자연어 질의를 검색엔진의 고급검색을 사용할 수 있는 논리식으로 변환하여 검색결과의 품질을 향상시켜주는 검색방법을 제안한다. 또한 사용자들은 검색형태의 특징 중 하나인 단순성에 의해 길게 검색하기 보다는 여러 번의 짧은 검색을 이용하는 경우가 훨씬 많다. 이에 따라 사용자들에게 편리성을 제공하기 위하여 앞에서 제안한 검색방법을 활용한 히스토리 검색방법을 제안한다. 본 논문의 검색방법들을 사용한 결과 자연어 상태의 검색결과보다 논리식으로 변환한 검색결과의 정확도가 개선되었고 누락되는 키워드 없이 사용자가 검색하고자하는 모든 키워드를 반영할 수 있다. 이러한 검색방법이 검색엔진의 발전에 기여할 것으로 기대한다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제8권4호
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• pp.260-263
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• 2008

In this paper we propose Personal Information Management System for Library Database. It manages personal search pattern for the given user and provide specific book list for library book search system. With the proposed system, the conventional overlap searching time will be decreased with personalized information and search history. This system manages the individual data according to personal searching pattern, sequence and usability. Therefore, the user can locate necessary book information more accurately with their distinct interest and search history.

• Journal of Information Processing Systems
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• 제17권5호
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• pp.989-1003
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• 2021

With the recent increase in the types of services provided by Internet companies, collection of various types of data has become a necessity. Data collectors corresponding to web services profit by collecting users' data indiscriminately and providing it to the associated services. However, the data provider remains unaware of the manner in which the data are collected and used. Furthermore, the data collector of a web service consumes web resources by generating a large amount of web traffic. This traffic can damage servers by causing service outages. In this study, we propose a website search engine that employs a system that controls user information using blockchains and builds its database based on the recorded information. The system is divided into three parts: a collection section that uses proxy, a management section that uses blockchains, and a search engine that uses a built-in database. This structure allows data sovereigns to manage their data more transparently. Search engines that use blockchains do not use internet bots, and instead use the data generated by user behavior. This avoids generation of traffic from internet bots and can, thereby, contribute to creating a better web ecosystem.

• 한국의사학회지
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• 제30권2호
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• pp.45-61
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• 2017

Objectives : This research aims to investigate the consumer's interest in the Korean Medicine (KM) industry by using Google-trends and Naver-Data lab. A quick and uncomplicated way for those who are already involved with KM industry but do not have expertise in utilizing Big-data searches, is introduced. Methods : 'Direct keyword' was set by FGI (Focus Group Interview) and 'Detailed keyword' was set by using relevant word search and autocomplete search functions in the search engine. By inquiring Naver-Data lab, keyword search volumes are compared by age and sex, date range, and originating region of the researcher. It is possible to determine whether the data is reliable or authentic through examining the associated query. Selected direct keywords used through FGI (Focus Group Interview) were 'Acupuncture', 'Herbal Medicine', 'Cupping', 'Musculoskeletal Disease', 'Diet', and 'Stemina'. Based on these keywords, the following results were derived from the keyword analysis. Results : From August 2016, there was a noticeable surge of interest in men's 'Cupping'. The search for 'Diet' increased in the second quarter of 2016 from all ages. The search volume of 'Stemna' for individuals in their 20s is higher than that of those in their 30s or 40s'. Researchers from the region of Chungcheongbuk-do had a higher level of interest in analgesics and less interest in Korean Medicine. There is a greater interest in the KM market from European countries and America, than from Korea, China, and other Asian countries. Discussion : Despite the limitations of the research, it is meaningful to introduce a quick and easy data search method to compare information by age, sex, and region. Conclusion : The future of research into Korea Medicine and this market is confirmed by our data results which indicate interest from Europe, the United States, and other western countries, but less interest from Korea, China and other Asian countries.

• 건축역사연구
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• 제1권1호
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• pp.240-254
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• 1992

The purpose of this paper is to suggest new direction to the historical research society of Korean architecture by epistemological discussion. Korean architectural history at present, without question of history for what, for whom, and how, is regarded as 'history for the past' only 'to describe past' or 'to collect correct data' However, history is beyond that; history ought to suggest a direction of present and near future. Moreover, architecture is not pure but applied knowledge, that is, focused to 'how to build'. Therefore, past historical knowledge by research should influence to present design. In order to do that, history of mere data collection should change direction to the history of meaning by interpretation, and then, of finding design principle. The principle used in architectural community becomes theory in scientific research community, and finally is unified to 'theory of practice'. Creative history should be substituted for retrospective history reusing historical reservoir, at the specific situation of Korea; tradition has been discontinued drastically and Western method imported to the point of being culturally-colonized. Some expmples of altanative history are suggested at the end of this paper as conclusion.

• 대한한의학방제학회지
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• 제25권1호
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• pp.39-49
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• 2017

Objectives : The contents of the literature associated with the medical records were entered into the database. We want to find the structure and search methods for efficient utilization of the database. Methods : The contents were entered into the database using the 'Access 2014 of the MS'. The Query Sentences were created and utilized for a search. Results : We could find information about the prescriptions, medical records and patients by the herbs and symptom combinations using the single table named 'Integrated Knowledge' and queries. Integrated Knowledge is a table that gathered patient information, prescription information and symptom information together. Conclusions : If you store patient, prescription and symptom information on a single table, you could search and use the results by various combinations of the various elements included in the table. These results could help curing patients on the basis of evidence-based treatment at the clinics.

• 디지털융복합연구
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• 제10권9호
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• pp.383-390
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• 2012

본 논문에서는 지식 표상 방식을 이용한 정보 검색 시각화 도구를 제안한다. 제안하는 정보 검색 시각화 도구는 사용자 검색이력 데이터를 이용하여 검색의도를 자동 추출하고, 추출된 검색의도를 지식 표상 방식 구조로 시각화 할 수 있도록 설계하였다. 검색의도 표상 방식을 위한 스키마는 인지 심리학적 지식 표상 방법론을 활용하였으며, 행동실험을 통해 그 효용성을 증명하였다. 실험결과 정보 검색 시각화 도구는 기존 검색방법에 비해 사용자 만족도 측면에서 약 39%의 향상이 있었으며, 정보 검색 과정에서의 재검색 문제를 해결할 수 있는 방안을 제시할 수 있었다.

• 대한한의학원전학회지
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• 제35권4호
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• pp.1-9
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• 2022

Objectives : This study aims to increase efficiency of the prescription similarity analysis method that uses drug composition ratio. Methods : The controlled experiment compared result generation time, generated data quantity, and accuracy of results between previous and new analysis method on the 12,598 formulas and 61 prescription groups. Results : The control group took 346 seconds on average and generated 768,478 results, while the test group took 24 seconds and generated 241,739 results. The test group adopted a selective calculation method that only used overlapping data between two formulas instead of analyzing all number of cases. It simplified the data processing process, reducing the quantity of data that is required to be processed, leading to better system speed, as fast as 14.47 times more than previous analysis method with equal results. Conclusions : Efficiency for similarity analysis could be improved by reducing data span and simplifying the calculation processes.

• 대한원격탐사학회지
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• 제25권1호
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• pp.61-69
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• 2009

본 논문은 제주 택시 텔레매틱스 사업에서 수집된 차량의 운행 이력 데이터를 효과적으로 가시화 하기 위해 Google Earth를 이용하여 데이터를 표현하는 시스템의 설계와 구현기법에 대해 기술한다. 이 시스템은 전체 차량의 운행상황을 확인하거나 특정 차량의 궤적을 추출하거나 특정 영 역을 통과한 차량을 검색하는 등의 기능으로 다양한 택시 텔레매틱스 운행 이력 데이터의 분석이 가능하다.