• 한국어정보학회:학술대회논문집
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• 2017.10a
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• pp.175-178
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• 2017

본 연구는 거시적 빅데이터 인문학과 미시적 언어 텍스트 검색 시스템을 구축하고, 이를 통해서 언어를 통한 문화의 역동적 변화를 시간적 순서에 따라 살펴보고자 한다. 연구의 최종적인 목표는 문화도 생물체처럼 변화하는 존재라 여기고 그 구성요소들을 연구한다는 뜻인 '문화체학(文化體學; Culturomics)'과 같은 '인문학 + 정보과학 + 사회과학' 등등의 다학문간의 융합적 연구에 있다. 이 시스템을 통해서 인류 역사의 기록인 텍스트 빅데이터를 통한 인문학적 성찰을 시각화하고 있다. 이러한 구글의 업적은 인문학과 정보기술의 융합을 통해서 인문학 자체의 지평을 넓히고, 사회과학을 변형시키고, 산업과 상아탑 사이의 관계를 재조정하는데 있다[1].

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.434-437
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• 2014

현대인들의 생활필수품인 스마트 폰을 이용한 전자상의 거래가 날이 갈수록 활발해지고 있다. 스마트 폰을 이용하여 실시간으로 물품을 구매 혹은 판매하며 자신이 원하는 물품을 검색하는 행위가 급증하고 있다. 그러나 구매하고자 하는 물품이 즉시 검색이 안 되면 해당 물품이 등록되기 전까지 구매자는 지속적으로 검색을 수행해야 하는 문제가 있다. 이 논문에서는 사용자가 원하는 물품에 대한 정보를 이용하여 실시간으로 사용자에게 물품의 등록여부를 알려주는 서비스를 제공함으로써 사용자에게 편의성을 제공한다.

• Journal of Korean Society of Transportation
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• v.33 no.1
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• pp.14-28
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• 2015

Numerous research has been conducted using internet search data since the mid-2000s. For example, Google Inc. developed a service predicting influenza patterns using the internet search data. The main objective of this study is to prove the hypothesis that highway traffic indices are similar to the internet search patterns. In order to achieve this objective, a model to predict the number of vehicles entering the expressway and space-mean speed was developed and the goodness-of-fit of the model was assessed. The results revealed several findings. First, it was shown that the Google search traffic was a good predictor for the TCS entering traffic volume model at sites with frequent commute trips, and it had a negative correlation with the TCS entering traffic volume. Second, the Naver search traffic was utilized for the TCS entering traffic volume model at sites with numerous recreational trips, and it was positively correlated with the TCS entering traffic volume. Third, it was uncovered that the VDS speed had a negative relationship with the search traffic on the time series diagram. Lastly, it was concluded that the transfer function noise time series model showed the better goodness-of-fit compared to the other time series model. It is expected that "Big Data" from the internet search data can be extensively applied in the transportation field if the sources of search traffic, time difference and aggregation units are explored in the follow-up studies.

• 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 the Korean Society for information Management
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• v.31 no.2
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• pp.79-97
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• 2014

This study was to evaluate the quality of academic information services provided by Naver Academic Information Service, Google Scholar, and MS Academic Search. This academic information services were evaluated in terms of the contents, service, and effectiveness. 135 four year college students were recruited for the survey. The results showed that the Google Scholar in contents section had higher score than Naver and MS Academic Search. In regard to service, Google Scholar had higher score in retrieval section while Naver had higher score in design section respectively. Finally, both Google Scholar and Naver in the access section had higher score than MS Academic Search.

• Journal of Digital Convergence
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• v.17 no.9
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• pp.135-145
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• 2019

Prolonged recession has caused the youth unemployment rate in Korea to remain at a high level of approximately 10% for years. Recently, the number of unemployed Koreans in their 30s and 40s has shown an upward trend. To expand the government's employment promotion and unemployment benefits from youth-centered policies to diverse age groups, including people in their 30s and 40s, prediction models for different age groups are required. Thus, we aimed to develop unemployment prediction models for specific age groups (30s and 40s) using available unemployment rates provided by Statistics Korea and Google search queries related to them. We first estimated multiple linear regressions (Model 1) using seasonal autoregressive integrated moving average approach with relevant unemployment rates. Then, we introduced Google search queries to obtain improved models (Model 2). For both groups, consequently, Model 2 additionally using web queries outperformed Model 1 during training and predictive periods. This result indicates that a web search query is still significant to improve the unemployment predictive models for Koreans. For practical application, this study needs to be furthered but will contribute to obtaining age-wise unemployment predictions.

• Digital Contents
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• no.3 s.154
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• pp.48-51
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• 2006

올해 주요 포털업체들의 사업전략 기조는 동영상 검색 등 신규 검색 서비스를 강화하는 가운데 상반기에는 월드컵 마케팅에 올인한다는 것이다. 또한 올 포털시장에서는 웹2.0 기반의 UCC 서비스 등도 주요 이슈가 될 것으로 보이며 구글의 한국시장 연착륙 여부도 초미의 관심사다. 여전히 네이버의 독과점 현상이 지속되고 있는 포털업계의 올 사업전략을 살펴봤다.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2013.10a
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• pp.518-531
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• 2013

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.10 no.2
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• pp.53-59
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• 2010

Android that was made by Google and Open Handset Alliance is the open source software toolkit for mobile phone. In a few years, Android will be used by millions of Android mobile phones and other mobile devices, and become the main platform of application developers. In this paper, we develop an application contents Booky based on Google Android flatform by using Webview merits and Google search engine. The features of the developed content are as follows. First, a mobile-based Web browser which has an advanced screen resolution and can support more faster viewer than normal web browser as it reduces the amount of data transmission. Second, efficient E-book search and reading functionality. In the performance evaluation, we show the results of simulation using AVD(Android Virture Device).

• The Journal of Korean Academy of Prosthodontics
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• v.59 no.2
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• pp.164-172
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• 2021

Purpose: The purpose of this study was to analyze the level of interest that common Internet users have in dental implant using a Google Trends, and to compare the level of interest with big data from National Health Insurance Service. Materials and methods: Google Trends provides a relative search volume for search keywords, which is the average data that visualizes the frequency of searches for those keywords over a specific period of time. Implant was selected as the search keyword to evaluate changes in time flows of general Internet users' interest from 2015 to 2019 with trend line and 6 month moving average. Relative search volume for implant was analyzed with the number of patients who received National Health Insurance coverage for implant. Interest in implant and conventional denture was compared and popular related search keywords were analyzed. Results: Relative search volume for implant has increased gradually and showed a significant positive correlation with the total number of patients (P<.01). Interest in implant was higher than denture for most of the time. Keywords related to implant cost were most frequently observed in all years and related search on implant procedure was increasing. Conclusion: Within the limitations of this study, the public interest in dental implant was gradually increasing and specific areas of interest were changing. Web-based Google Trends data was also compared with traditional data and significant correlation was confirmed.