• Proceedings of the Korea Information Processing Society Conference
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• 2012.04a
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• pp.1330-1332
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• 2012

휴대전화에 인터넷 통신과 정보검색 등 컴퓨터 지원 기능을 추가한 스마트폰이라 불리는 지능형 단말기가 등장하여 우리의 일상생활에 깊이 관여하고 생활의 패턴을 바꾸는 큰 변화를 불러왔다. 현재 음식추천 어플리케이션들은 대부분 주변의 음식점의 위치나 메뉴 정보 등을 제공하고 있다. 본 논문에서는 음식 추천방식에 룰렛을 이용하여 게임 형식의 음식추천이 가능하게 하였으며 구글 맵 기능을 활용하여 현재위치에서 내가 찾는 음식점 중에 반경을 입력하면 그 반경 안에 있는 음식점들을 검색하도록 Android 운영체제를 기반으로 한 어플리케이션을 개발하였다.

• Korean Journal of Cognitive Science
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• v.19 no.4
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• pp.443-458
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• 2008

Since Web pages contain a lot of information today, the Web becomes an important resource to extract some information. In this paper, we proposes a set expansion system which can automatically extract named entities from the Web. Overall, the proposed method consists of three steps. First of all, Web pages, which may include many named entities of a domain, are collected by using several seed words of the domain. Then some pattern rules are extracted by using seed words and the collected Web pages, and the named entity candidates are selected through applying the extracted pattern rules into Web pages. To distinguish real named entities, we develop the new mutual importance measurement method which estimates the importance of named entity candidates. We conducted experiments for 3 domains for Korean and for 8 domains for English. As a result, the proposed method obtained 78.72% MAP in Korean and 96.48% MAP in English. In particular, the performances of English domains are better than the results of the Google set.

• Journal of KIISE:Databases
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• v.33 no.7
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• pp.708-714
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• 2006

The World Wide Web has become an entrenched global medium for storing and searching information. Most people begin at a Web search engine to find information, but the user's pertinent search results are often greatly diluted by irrelevant data or sometimes appear on target but still mislead the user in an unwanted direction. One of the intentional, sometimes vicious manipulations of Web databases is Web spamming as Google bombing that is based on the PageRank algorithm, one of the most famous Web structuring techniques. In this paper, we regard the Web as a directed labeled graph that Web pages represent nodes and the corresponding hyperlinks edges. In the present work, we define the label of an edge as having a link context and a similarity measure between link context and the target page. With this similarity, we can modify the transition matrix of the PageRank algorithm. A motivating example is investigated in terms of the Singular Value Decomposition with which our algorithm can outperform to filter the Web spamming pages effectively.

• Proceedings of the Korean Information Science Society Conference
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• 2011.06d
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• pp.76-78
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• 2011

안드로이드 모바일 애플리케이션을 개발할 때 안드로이드 지원 서비스인 인텐트는 로컬 장치 내에서 애플리케이션간 메시지를 전송하고 받을 수 있다. 그러나 서로 다른 장치간의 인텐트를 이용한 메시지 전송은 지원되지 않고 있다. 만약 서로 다른 장치간에 인텐트가 지원이 된다면 끊김 없는 서비스가 가능해진다. 끊김없는 서비스란 사용자가 스마트폰으로 워드나 인터넷검색 등을 하고 있다가 자신이 가진 다른 장치인 TabletPC로 스마트폰에 있던 정보 그대로 이어서 사용하고 싶을 때 끊김 없이 이어서 할 수가 있는 것이다. 본 논문에서는 다른 장치간의 원격 메시지 전송을 위하여 RISP 애플리케이션을 제안한다. RISP 애플리케이션은 구글의 C2DM 서비스를 이용하여 다른 장치간의 원격 메시지 전송을 서비스하는 애플리케이션이다. 개발자가 애플리케이션을 개발할때 RemoteIntent 코드를 작성하면 RISP 애플리케이션은 이 RemoteIntent를 구글의 C2DM을 통해 다른 장치로 메시지를 전송하여 그 장치내의 RISP 애플리케이션이 RemoteIntent를 분석하여 해당 애플리케이션에 인텐트를 넘겨준다. 이렇게 해서 인텐트는 서로 다른 장치간에 인텐트를 넘길 수 있는 것이다. 본 논문에서는 안드로이드 모바일 플랫폼을 대상으로 하여 RISP애플리케이션을 제안한다. 제안하는 RISP는 장치에 애플리케이션으로 설치되며 장치의 안드로이드 버전2.2 이상에서만 구동된다.

• Journal of Digital Contents Society
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• v.10 no.3
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• pp.433-439
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• 2009

With the help of fast growing popularization of internet, all areas of e-Health have expanded rapidly; such that people have become interested in digital personal health record and its management. This paper examined the characteristics of personal health record and made the analysis of the structure of Google Health, the internet-based personal health record system. Google Health allows you to store and manage all of your health information, import medical records from hospitals and pharmacies, share your health records, and explore online health services. This examples represents not only a significant change of current medical systems but also enables to estimate the future stream of it. As a result, this paper, in the areas of e-Health which will be expanded in various service areas, may give you a greater sense of importance of personal health record and will eventually provide more complemental structure of future personal health record through comparative studies on the strength and weakness of it.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.12
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• pp.819-829
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• 2017

In this paper, we describe the current state of speech recognition technology and identify the basic speech recognition technology and algorithms first, and then explain the code flow of API necessary for speech recognition technology. We use the application programming interface (API) of Google, Naver, and Daum KaKao, which have the most famous search engine among the speech recognition APIs, to create a voice recognition app in the Android studio tool. Then, we perform a speech recognition experiment on people's standard words and dialects according to gender, age, and region, and then organize the recognition rates into a table. Experiments were conducted on the Gyeongsang-do, Chungcheong-do, and Jeolla-do provinces where the degree of tongues was severe. And Comparative experiments were also conducted on standardized dialects. Based on the resultant sentences, the accuracy of the sentence is checked based on spacing of words, final consonant, postposition, and words and the number of each error is represented by a number. As a result, we aim to introduce the advantages of each API according to the speech recognition rate, and to establish a basic framework for the most efficient use.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.05a
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• pp.549-558
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• 2017

바야흐로 4차 산업혁명의 시대가 도래하면서, 4차 산업혁명과 관련된 기술에 대한 관심 또한 나날이 높아져 가고 있다. 이런 시대적 상황에 맞춰, 본 연구에서는 웹 검색트래픽을 활용하여 4차 산업혁명 관련 기술의 국내 외 트렌드를 비교하고 관련된 기술에 대한 국내 정부R&D 과제 현황에 대해 분석해 보고자 한다. 본 분석은 먼저 관련 기술에 대한 정부 R&D 현황 과제 현황을 네트워크 분석하고 분석된 기술을 4차 산업혁명의 3가지 카테고리로 구분한다. 이후 카테고리별로 선별된 각각의 기술에 대해 구글의 웹 검색트래픽을 활용하여 관련된 기술의 국내 외 트렌드를 비교 분석한다. 본 연구를 통해 4차 산업혁명 관련 기술에 대한 과거와 현재의 관심 동향을 확인할 수 있을 것으로 예상된다. 또한, 해당 기술과 관련된 정부 R&D 과제 현황을 네트워크 분석하고 시각화하여 4차 산업혁명 관련 R&D 현황에 대한 직관적인 정보를 제공하고자 한다. 본 연구는 인류 최대의 혁명으로 정의되는 4차 산업혁명 기술에 대한 국내 외 트렌드 정보와 함께 현재까지 진행되어온 정부의 R&D 현황을 직관적으로 볼 수 있게 제공함으로써, 4차 산업혁명과 함께 다가오는 미래에 대한 올바른 정책 방향 설정에 기여할 것으로 기대된다.

• The KIPS Transactions:PartD
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• v.11D no.3
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• pp.563-570
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• 2004

As the use of the Internet becomes more popular, a huge amount of information is published on the Web, and users can access the information effectively with Web search services. Since Web search services retrieve relevant documents from those collected by Web robots we need to improve the crawling quality of Web robots. In this paper, we suggest evaluation criteria for Web robots such as efficiency, continuity, freshness, coverage, silence, uniqueness and safety, and present various functions to improve the performance of Web robots. We also investigate the functions implemented in the conventional Web robots of NAVER, Google, AltaVista etc. It is expected that this study could contribute the development of more effective Web robots.

• Journal of KIISE
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• v.41 no.12
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• pp.1058-1065
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• 2014

In order to assist user's who are in the process of executing a search, a query expansion method suggests keywords that are related to an input query. Recently, several studies have suggested keywords that are identified by finding domains using a clustering method over the documents that are retrieved. However, the clustering method is not relevant when presenting various domains because the number of clusters should be fixed. This paper proposes a method that suggests keywords by finding various domains related to the input queries by using a community detection algorithm. The proposed method extracts words from the top-30 documents of those that are retrieved and builds communities according to the word graph. Then, keywords representing each community are derived, and the represented keywords are used for the query expansion method. In order to evaluate the proposed method, we compared our results to those of two baseline searches performed by the Google search engine and keyword recommendation using TF-IDF in the search results. The results of the evaluation indicate that the proposed method outperforms the baseline with respect to diversity.

• KIISE Transactions on Computing Practices
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• v.21 no.3
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• pp.269-274
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• 2015

As smart device companies such as Google or Apple develop competitive mobile-based automotive operating systems and navigation systems, the range of choice for users in such markets is expanding. Navigation systems equipped with mobile operating systems have increased convenience for users. However, since an API for the POI databases used in navigation systems doesn't exist, the number of applications using POI data is insufficient. In this paper, we designed and implemented system calls for navigation operating systems with a focus on POI search, in order to resolve such limitations. The system calls support set-based POI search functions, and therefore provides solutions to search performance degradation problems caused by false inputs. As a result of performance evaluation, not only did the search performance improve, but there was also no problem in applying APIs in applications.