• Journal of the Korean Society for Library and Information Science
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• v.40 no.3
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• pp.289-304
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• 2006

The purpose of this pilot study is to construct a searching thesaurus with word association test in the library and information science field and to confirm it's functionality as searching aids through query expansion experiments. The test results were analyzed to four types of relationship between stimulus words and response words, and the terms of association thesaurus were compared with descriptors of an existing thesaurus. The test results show that the word association test is a fruitful method to identify many related terms and narrower and equivalent terms in some degree to the stimulus terms. Furthermore. in the query expansion experiment. the Performance of association thesaurus was better than that of an existing thesaurus, This result demonstrates that word association thesaurus can apply to query expansion.

• Spatial Information Research
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• v.22 no.4
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• pp.21-38
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• 2014

Since users who search maps conduct their searching using the name they already know or is commonly called rather than formal name of a specific place, they tend to fail to find their destination. In addition, in typical web map service in terms of spatial searching of map. Location information of unintended place can be provided because when spatial searching is conducted with the vocabulary 'nearby' and 'in the vicinity', location exceeding 2 km from the current location is searched altogether as well. In this research, spatial range that human can perceive is calculated by extracting POI date with the usage of twitter data of SNS, constructing spatial relations with existing POI, which is already constructed. As a result, various place names acquired could be utilized as different names of existing POI data and it is expected that new POI data would contribute to select places for constructing POI data by utilizing to recognize places having lots of POI variation. Besides, we also expect efficient spatial searching be conducted using diverse spatial vocabulary which can be used in spatial searching and spatial range that human can perceive.

• Annual Conference on Human and Language Technology
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• 1996.10a
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• pp.158-162
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• 1996

본 논문에서는 문자출력이 가능한 무선호출기에 음성인식 기술을 접목한, 특성화된 한 음성인식 시스템에 대하여 설명하고자 한다. 시스템 동작 과정은, 일단 호출자가 음성인식 서버와 접속하게 되면 서버는 호출자의 자연스런 입력음성을 인식, 그 결과를 문장 형태로 피호출자의 호출기 단말기에 출력시키는 방식으로 되어 있다. 본 시스템에서는 통계적 음성인식 기법을 도입하여, 각 단어를 연속 HMM으로 모델링하였다. 가우시안 혼합 확률밀도함수를 사용하는 각 모델은 전통적인 HMM 학습법들 중의 하나인 Baum-Welch 알고리듬에 의해 학습되고 인식시에는 이들에 비터비 빔 탐색을 적용하여 최선의 결과를 얻도록 한다. MFCC와 파워를 혼용한 26 차원 특징벡터를 각 프레임으로부터 추출하여, 최종적으로, 83 개의 도메인 어휘들 및 무음과 같은 특수어휘들에 대한 모델링을 완성하게 된다. 여기에 구문론적 기능과 의미론적 기능을 함께 수행하는 FSN을 결합시켜 자연발화음성에 대한 연속음성인식 시스템을 구성한다. 본문에서는 이상의 사항들 외에도 음성 데이터베이스, 레이블링 등과 갈이 시스템 성능과 직결되는 시스템의 외적 요소들에 대해 고찰하고, 시스템에 구현되어 있는 다양한 특성들에 대해 밝히며, 실험 결과 및 앞으로의 개선 방향 등에 대해 논의하기로 한다.

• Korean Journal of Cognitive Science
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• v.32 no.3
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• pp.99-115
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• 2021

Unlike most other alphabetic languages, letter transposition effect was not found in Korean except in the syllable level and in the morpheme level. This study was conducted in order to investigate the possible reason of the absence of letter transposition effect in Korean. Based on previous letter transposition studies, this study was to investigate on whether syllable frequency is a moderating variable and is responsible for the absence of the letter transposition effect. The results showed that significant letter transposition effect was found when a transposed non-word has high frequency syllable(e.g., 민주화 → 진무화), while such effect was not seen in a transposed non-word with low frequency syllable. The results showed that the letter transposition effect can found in Korean as well. The results also implicate the possibility that syllable frequency is the main moderating variable regarding the Korean letter transposition effect.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.15 no.6
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• pp.10-23
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• 2016

With requiring circumspections using big data, this study attempts to develop and apply the search method for audit issues relating to the ITS policy or program. For the foregoing, the auditing process of the board of audit and inspection was converged with the theoretical frame of boundary analysis proposed by William Dunn as an analysis tool for audit issues. Moreover, we apply the text mining technique in order to computerize the analysis tool, which is similar to the boundary analysis in the concept of approaching meta-problems. For the text mining analysis, specific model we applied the antisymmetry-symmetry compound lexeme-based LDA model based on the Latent Dirichlet Allocation(LDA) methodologies proposed by David Blei. The several prime issues were founded through a case analysis as follows: lack of collection of traffic information by the urban traffic information system, which is operated by the National Police Agency, the overlapping problems between the Ministry of Land, Infrastructure and Transport and the Advanced Traffic Management System and fabrication of the mileage on digital tachograph.

• Journal of the Korean Society for information Management
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• v.26 no.2
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• pp.173-194
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• 2009

Recently, semantic search techniques which are based on information space as consisting of nonambiguous, non-redundant, formal pieces of ontological knowledge have been developed so that users do exploit large knowledge bases. The purpose of the study is to design more user-friendly and smarter retrieval interface based on ontological analysis, which can provide more precise information by reducing semantic ambiguity or more rich linked information based on well-defined relationships. Therefore, this study, first of all, focuses on ontological analysis on researcher information as selecting descriptive elements, defining classes and properties of descriptive elements, and identifying relationships between the properties and their restriction between relationships. Next, the study designs the prototypical retrieval interface based on ontology-based representation, which supports to semantic searching and browsing regarding researchers as a full-fledged domain. On the proposed retrieval interface, users can search various facts for researcher information such as research outputs or the personal information, or carrier history and browse the social connection of the researchers such as researcher group that is lecturing or researching on the same subject or involving in the same intellectual communication.

• Proceedings of the Korean Society of Computer Information Conference
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• 2013.01a
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• pp.149-152
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• 2013

이 연구는 스마트교육환경에서의 교육용 앱을 평가하기 위한 신뢰롭고 타당한 도구를 개발하는데 있다. 기존 선행연구에 기초해서 교육용 앱의 평가를 위한 평가모형을 도출했으며, 이 모형은 4개의 평가영역(교수 학습측면, 화면디자인측면, 기술측면, 경제 윤리측면)과 13개 평가요소들로 구성되었다. 이 잠재모형의 통계적 타당성 검증을 위한 자료수집을 하고자, 경기도 소재 중학교 1곳과 고등학교 2곳의 학생 156명을 대상으로 교육용 앱을 평가하는데 있어서 각 평가문항이 갖는 중요도를 평가하였다. 수집된 자료를 탐색적 요인분석한 결과, 교육용 앱을 평가하는 영역으로 교수 학습(흥미성 자기주도성 실용성, 인지발달성), 화면디자인(디자인의 적합성, 어휘의 정확성), 기술(호환성, 안정성), 경제 윤리(경제성, 윤리성) 등 4개 영역이 제안되었다. 또한 문항내적일관성을 확인하고자 신뢰도 분석한 결과, 각 평가영역 별 Cronbach ${\alpha}$는 .88, .85, .82, .80으로 모두 적합한 수준을 보였다. 따라서, 이 연구를 통해 도출된 교육용 앱 평가도구는 통계적으로나 타당성과 신뢰성 측면에서 의미 있는 것으로 판단할 수 있다.

• Journal of Korea Multimedia Society
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• v.14 no.1
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• pp.85-93
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• 2011

Previous existing vocabulary recognition programs calculate general vector values from a database, so they can not process phonemes that form during a search. And because they can not create a model for phoneme data, the accuracy of the Gaussian model can not secure. Therefore, in this paper, we recommend use of the Bhattacharyya distance measurement method based on the features of the phoneme-thus allowing us to improve the recognition rate by picking up accurate phonemes and minimizing recognition of similar and erroneous phonemes. We test the Gaussian model optimization through share continuous probability distribution, and we confirm the heighten recognition rate. The Bhattacharyya distance measurement method suggest in this paper reflect an average 1.9% improvement in performance compare to previous methods, and it has average 2.9% improvement based on reliability in recognition rate.

• Annual Conference on Human and Language Technology
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• 2001.10d
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• pp.123-129
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• 2001

지금까지 한국어 품사 부착을 위해 다양한 모델이 제안되었고 95% 이상의 높은 정확도를 보여주고 있다. 그러나 4-5%의 오류는 실제 응용 분야에서 많은 문제를 야기시킬 수 있다. 이러한 오류를 최소화하기 위해서는 오류를 분석하고 이를 수정할 수 있는 규칙들을 학습하여 재사용하는 방범이 효과적이다. 오류 수정 규칙을 학습하기 위한 기존의 방법들은 수동학습 방법과 자동 학습 방법으로 나눌 수 있다 수동 학습 방법은 많은 비용이 요구되는 단점이 있다. 자동 학습 방법의 경우 모두 변형규칙 기반 접근 방법을 사용하였는데 어휘 정보를 고려할 경우 탐색 공간과 규칙 적용 시간이 매우 크다는 단점이 있다. 따라서 본 논문에서는 초기 모델에 대한 오류 수정 규칙을 효율적으로 학습하기 위한 새로운 방법으로 결정 트리 학습 방법을 확장한 통계적 결정 그래프 학습 방법을 제안한다. 제안된 방법으로 두 가지 실험을 수행하였다. 초기 모델의 정확도가 높고 말뭉치의 크기가 작은 첫 번째 실험의 경우 초기 모델의 정확도 95.48%를 97.37%까지 향상시킬 수 있었다. 초기 모델의 정확도가 낮고 말뭉치 크기가 큰 두 번째 실험의 경우 초기 모델의 정확도 87.22%를 95.59%로 향상시켰다. 또한 실험을 통해 결정 트리 학습 방법에 비해 통계적 결정 그래프 학습 방법이 더욱 효과적임을 알 수 있었다.

• Smart Media Journal
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• v.4 no.1
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• pp.52-57
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• 2015

Currently the gamification as marketing technique has appeared in the field non-related with game, applied to game elements. The alternate reality game pulled down the boundary between the real and the virtual has come out. New trend game has shown beyond the range of the existing game. The possibility has import into online baseball simulation game. The objective of this research is the exploratory approach to build GOMS model through three subjects to the famous pro-baseball manager game. After game playing session, three subjects' utterance with game experience was recorded. We built the goal hierarchy of goal in GOMS to pro-baseball manager game to analyze the vocabulary in three subjects' utterance. We try to find the possibility of gamification in alternate reality game interacting between the real and the virtual, and demolishing them.