• Science of Emotion and Sensibility
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• v.11 no.4
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• pp.541-552
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• 2008

We cannot express emotions correctly with only speech because it is hard to estimate the kind, size, amount of emotions. Hamlet who is a protagonist in 'Hamlet' of Shakespeare has emotions which cannot be expressed within only speech because he is in various dramatic situations. So we supposed an artificial emotion, instead of expressing emotion with speech, expressing and visualizing current emotions with color and location. And we visualized emotions of characters in 'Hamlet' with the artificial emotion. We designed the artificial emotion to four steps considering peculiarities of emotion. First, the artificial emotion analyzes inputted emotional stimulus as relationship between causes and effects and analyzes its kinds and amounts. Second, we suppose Emotion Graph Unit to express generating, maintaining, decaying of analyzed one emotional stimuli which is outputted by first step, according to characteristic. Third, using Emotion Graph Unit, we suppose Emotion Graph that expresses continual same emotional stimulus. And we make Emotion Graph at each emotions, managing generation and decay of emotion individually. Last, we suppose Emotion Field can express current combined value of Emotion Graph according to co-relation of various emotions, and visualize current emotion by a color and a location in Emotion Field. We adjusted the artificial emotion to the play 'Hamlet' to test and visualize changes of emotion of Hamlet and his mother, Gertrude.

• Journal of the Korean Institute of Intelligent Systems
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• v.24 no.6
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• pp.640-645
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• 2014

Many people use social network services as to communicate, to share an information and to build social relationships between others on the Internet. Twitter is such a representative service, where millions of tweets are posted a day and a huge amount of data collection has been being accumulated. Social mining that extracts the meaningful information from the massive data has been intensively studied. Typically, Twitter easily can deliver and retweet the contents using the following-follower relationships. Topic modeling in tweet data is a good tool for issue tracking in social media. To overcome the restrictions of short contents in tweets, we introduce a notion of reply graph which is constructed as a graph structure of which nodes correspond to users and of which edges correspond to existence of reply and retweet messages between the users. The LDA topic model, which is a typical method of topic modeling, is ineffective for short textual data. This paper introduces a topic modeling method that uses reply graph to reduce the number of short documents and to improve the quality of mining results. The proposed model uses the LDA model as the topic modeling framework for tweet issue tracking. Some experimental results of the proposed method are presented for a collection of Twitter data of 7 days.

• Journal of Korean Society of Archives and Records Management
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• v.21 no.3
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• pp.61-78
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• 2021

Records on Japanese "Comfort Women" have been individually managed by private sectors or institutions, and some are provided as digital archives on the Internet. However, records of digital archives differ in the composition and representation of metadata by individual institutions. Meanwhile, there is a lack of a consistent structure to describe the relationships between and among these records, leading to their fragmentation and disconnectedness. This paper proposes a knowledge model for interlinking the digital archival resources and builds a knowledge graph by integrating the records from distributed digital archives. It derives common elements by analyzing metadata from the diverse digital archives and expresses them in standard vocabularies to semantically describe multiple entities and relationships of the digital archival resources. In particular, the study includes the refinement of collected data to search and thread dispersed records and the enrichment of external data to provide significant contextual information of records. An evaluation of the knowledge graph is performed via a query measuring the (dis)connectivity between the distributed records. As a result, the knowledge graph is capable of interlinking and retrieving fragmented records, providing substantial contextual information on the records with external data enrichment, and searching accurately to match the user's intentions through semantic-based queries.

• Journal of the Korean School Mathematics Society
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• v.16 no.4
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• pp.883-898
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• 2013

The purpose of this study is to examine that high school students recognize mathematical situation when they are requested for changing identical mathematics situations into different situations. The results of the study are followings. First, percentage of correct answers to the questions of turning equal mathematical situation into function is higher than the one of turning equal mathematical situation into equation and inequality. As a result of individual interview for comprehensibility of the students on these relations, it is found that if degree goes up and there is different expressions of questionaries although mathematical situation is identical, it affects comprehensibility of the subjects. Second, we found that they cannot understand identical mathematics situations because they have trouble in drawing graph or applying to get the answer while many students understand a point of intersection on the graph as a correct answer. Third, As a result of individual interview for comprehensibility of the students on relation between equation, inequality and function, we found that students manage to get correct answer even without perfect comprehensibility on this relation.

• Journal of Convergence for Information Technology
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• v.10 no.1
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• pp.139-148
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• 2020

As the internet and computer technology are developed, there is a need for service of traditional culture that can effectively search and create culture, history, and tradition-related materials in online contents. In this paper, we developed an RDF-based ontology retrieval service platform and verified usability and validity. This platform is divided into triple search, keyword search, network graph search, story search and management, curation management module. Based on this, the search results can be visualized based on the relationship between data, network graph search and story search can be used to easily understand the relationship between the keywords. An platform evaluation was conducted for verification, and it was evaluated that an intelligent search that can easily identify the relationship between information and shorten the analysis and search time than the existing search function.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10b
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• pp.211-213
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• 2003

지금까지 아동 객체들 사이의 위상 관계에 대한 연구는 주로 2차원 객체를 대상으로 수행되어 왔고 몇몇 3차원 객체를 대상으로 한 연구에서도 기존의 위상 관계 정의에서 단순히 차원만 확장하였기 때문에 3차원 이동 객체들 사이에서 가능한 특수한 위상 관계의 실제 응용에 적용하기 어렵다. 따라서 이 논문에서는 실세계의 3차원 이동 객체들 사이의 위상 관계에 대한 표현력을 높임으로써 실제 응용에 적용할 수 있도록 3차원 공간 위상 관계 연산자와 4차원 위상 변화 연산자를 정의 하고 알고리즘을 설계하였다. 3차원 공간 위상 관계를 효율적으로 나타내기 위하여 3차원 객체들의 x, y 좌표와 z 좌표를 분리해서 고려하는 기법을 제안하였고, 4차원 이동 객체들 사이의 가능한 위상 관계 변화를 가식적으로 보여주기 위하여 이동 부피 객체들 사이의 인접 위상 변화 그래프를 제안하였다.

• Annual Conference of KIPS
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• 2004.05a
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• pp.177-180
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• 2004

비디오 데이터베이스에서 움직임 정보를 가지고 있는 이동객체에 대한 모델링은 크게 두 가지 측면 즉, 공간적 혹은 시간적 관계성에 의해 다루어진다. 공간적 관계에서 위상 관계는 근접 그래프에 의한 모델링이 대부분이며, 이를 이용한 내용 기반 비디오 검색에서 자연어 형태의 질의어는 정형화된 위상 관계 표현으로 변환하는 과정을 거친다. 그러나 이 과정에서 위상 관계 표현이 인간이 사용하는 언어의 의미를 정확히 반영하는지는 알 수 없다. 이에 본 논문에서는 위상 관계 표현과 인간이 사용하는 움직임 동사간 의미의 차이를 줄이기 위해 위상 관계 표현과 실제 움직임 동사간의 매칭에 대해 연구했다.

• Proceedings of the Korean Information Science Society Conference
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• 1999.10b
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• pp.485-487
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• 1999

본 논문에서는 온라인 필기체 수식 인식을 위한 순차적인 구조 분석 방법을 제안한다. 제안된 방법은 캐블릿상에서 필기된 수식에 대한 심볼 인식 결과와 각 심볼의 Bounding Box이 좌표를 입력받아서 필기 순서를 기반으로 순차적으로 수식의 구조를 해석한다. 그래프 내의 이웃하는 두 노드 사이의 관계를 결정하기 위해서 심볼의 사용에 관한 표기 정보와 6단계 관계 결정 규칙을 사용하여 노드들 사이에 생성될 수 있는 에지의 수를 최소화하고 BackTracking을 피했다. 제안 방법의 성능을 평가하기 위해 100개의 테스트 샘플에 대해 구조 분석 실험을 수행하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10b
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• pp.793-795
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• 2003

이 논문은 대용량 단백질 상호작용의 관계를 효과적으로 시각화하기 위해 단백질이 가지고 있는 기능에 기반한 추상화 방법을 제안한다. 제안하는 방법은 FDP(force-directed placement) 알고리즘에 기반을 두고 있지만 다중 레벨 처리를 위해 기능에 기반한 추상화 방법과 확장을 사용한다는 점에서 차이점을 나타낸다. 제안하는 그래프 레이아웃 방법은 추상화, 위치화, 확장의 3부분으로 구성되어 있으며 특히 추상화 부분은 다중 레벨 처리를 포함한다.

• Communications for Statistical Applications and Methods
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• v.4 no.1
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• pp.243-254
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• 1997

특정분포에 대한 P-P plot과 Q-Q plot의 특징을 분석하고 두 가지 그래프 사이의 관계를 비교해 보았다. NTV의 본질적인 특징을 알아보고 각 특정분포에 대한 NTV plot의 특징을 분석했다. 전형적인 bimodal 분포가 나타날 때 P-P 혹은 Q-Q plot은 뚜렷한 break-point를 갖는다는 것을 알아보고, 단지 skewed된 분포나 skewed된 것처럼 보이는 bimodal 분포 사이에서 발생하는 판단의 어려움에 대하여 여러 plot고찰해 보았다.