• Journal of the Korea Society of Computer and Information
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• v.17 no.2
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• pp.139-147
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• 2012

In this paper, we discuss the structure of biological knowledge discovery system based on text mining and automatic inference. Given a set of biology documents, the system produces a new hypothesis in an integrated manner. The text mining module of the system first extracts the 'event' information of predefined types from the documents. The inference module then produces a new hypothesis based on the extracted results. Such an integrated system can use information more up-to-date and diverse than other automatic knowledge discovery systems use. However, for the success of such an integrated system, the precision of the text mining module becomes crucial, as any hypothesis based on a single piece of false positive information would highly likely be erroneous. In this paper, we propose a probabilistic filtering method that filters out false positives from the extraction results. Our proposed method shows higher performance over an occurrence-based baseline method.

• Digital Contents
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• no.9 s.52
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• pp.5-17
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• 1997

데이터 마이닝에 관한 연구는 원래 인공지능의 기계 학습에서 시작되었으나 여기에서의 연구는 주로 그 대상이 실험실용 데이터 즉, 엄정하게 선정된 적은 데이터들에 대해서만 이루어져 왔다. 본 고에서는 2000년대 데이터베이스 응용기술로 발전하고 있는 데이터 마이닝에 관하여 그 개념, 지식 발견 기법 및 활용 등을 살펴보고 여러 마이닝 지식중에서 분류에 관한 기술 동향을 살펴본다.

• Journal of The Korean Association For Science Education
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• v.23 no.3
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• pp.215-228
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• 2003

The present study is to analyze the arguments about the generation of declarative scientific-knowledge in the philosophy of science and invent a structured model of the process of scientific-knowledge generation with the types of the generated scientific-knowledge. The invented model shows that scientific-knowledge generation is a distinctive process with the processes of inductive, abductive, and deductive thinking. Furthermore, inductive process is included with observation, which is consisted of simple observation and operative observation, and rule-discovery which is involved with the processes of commonness discovery, classification, pattern discovery, and hierarchical relationship. Also, abductive process has two components. One component generates question and second component generates hypothesis in which the process consists of representing question situation, identifying experienced situation, identifying causal explicans, and generating hypothetical explicans. Finally, deductive process is involved with logical inventing test method and evaluation criteria, concrete inventing test method and evaluation criteria, evaluating hypothesis, and making conclusion.

• Journal of the Korean Society for information Management
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• v.31 no.1
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• pp.231-250
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• 2014

Due to the recent development of Information and Communication Technologies (ICT), the amount of research publications has increased exponentially. In response to this rapid growth, the demand of automated text processing methods has risen to deal with massive amount of text data. Biomedical text mining discovering hidden biological meanings and treatments from biomedical literatures becomes a pivotal methodology and it helps medical disciplines reduce the time and cost. Many researchers have conducted literature-based discovery studies to generate new hypotheses. However, existing approaches either require intensive manual process of during the procedures or a semi-automatic procedure to find and select biomedical entities. In addition, they had limitations of showing one dimension that is, the cause-and-effect relationship between two concepts. Thus;this study proposed a novel approach to discover various relationships among source and target concepts and their intermediate concepts by expanding intermediate concepts to multi-levels. This study provided distinct perspectives for literature-based discovery by not only discovering the meaningful relationship among concepts in biomedical literature through graph-based path interference but also being able to generate feasible new hypotheses.

• 한국HCI학회:학술대회논문집
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• 2007.02b
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• pp.575-581
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• 2007

웹사이트를 어떻게 디자인했을 때 지식을 보다 효율적으로 전달할 수 있는가에 많은 관심이 쏠리고 있다. 최근의 몇몇 커뮤니케이션 연구들은 인터넷의 독특한 정보 전달 구조인 하이퍼텍스트 구조가 정보 전달에 있어서 핵심적인 영향을 끼치고 있으며, 따라서 하이퍼텍스트를 어떤 방식으로 구조화하는지에 따라 지식의 전달 내용도 바뀔 수 있다고 주장하고 있다. 이 연구는 이러한 학자들의 의견과 궤를 같이 하여, 이용자의 사전 지식의 차이에 따라 비선형적 웹사이트 구조가 구조적인 지식과 선언적인 지식을 전달하는 데, 어떠한 차이점을 가지는지를 시험적으로 검증한 예비 조사적 연구이다. 관련된 기존 문헌 연구를 통해, 사전 지식이 높은 이용자는 선형 구조보다는 비선형 웹 구조를 통해서 구조적인 지식을 습득하는 데, 유리할 것이고 사전 지식이 낮은 이용자는 선형 구조보다는 비선형 웹구조를 통해서 학습할 때, 선언적인 지식을 습득할 확률이 높을 것이라고 예상되었다. 이를 소규모 집단 실험으로 검증한 결과, 통계적으로 유의한 수준은 아니었지만 비선형적 웹구조는 구조적인 지식을 증가시키는 경향성이 발견되었다. 또한 사전 지식이 높은 이용자 역시 비선형 구조에서 높은 구조적 지식을 습득하는 경향성이 있었다. 그러나 선언적인 지식의 경우에는 웹 구조의 영향이 크게 상관이 없는 것으로 나타났다.

• Journal of the Korean Society for information Management
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• v.36 no.2
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• pp.175-199
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• 2019

Uncertainty means incomplete stages of knowledge of propositions due to the lack of consensus of information and existing knowledge. As the amount of academic literature increases exponentially over time, new knowledge is discovered as research develops. Although the flow of time may be an important factor to identify patterns of uncertainty in scientific knowledge, existing studies have only identified the nature of uncertainty based on the frequency in a particular discipline, and they did not take into consideration of the flow of time. Therefore, in this study, we identify and analyze the uncertainty words that indicate uncertainty in the scientific literature and investigate the stream of knowledge. We examine the pattern of biomedical knowledge such as representative entity pairs, predicate types, and entities over time. We also perform the significance testing using linear regression analysis. Seven pairs out of 17 entity pairs show the significant decrease pattern statistically and all 10 representative predicates decrease significantly over time. We analyze the relative importance of representative entities by year and identify entities that display a significant rising and falling pattern.

• Journal of The Korean Association For Science Education
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• v.38 no.6
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• pp.865-874
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• 2018

The purpose of this study is to explore the process of inquiry problem finding in high school students' small group free-inquiry. For this purpose, 91 second grade high school students took part in small group free-inquiry. We conducted interviews with students (48 students in 15 groups) who were relatively successful in the inquiry performed for one semester (about 4 months). Based on the results of the interviews, we analyzed the characteristics of the inquiry problem finding through the steps and strategies in the inquiry problem finding process. The main results are as follows: First, in the inquiry problem finding process, steps such as selecting keyword, presenting an inconvenience, presenting a question, and finding an inquiry problem were found, and in particular, the process of selecting the keyword that correspond to the subject of inquiry, such as the material and situation of inquiry, is very important step in inquiry problem finding. Second, the strategies that students used in the process of finding inquiry problem included searching information, review of prior research, sharing of knowledge and experience, linking and extension of knowledge and experience, environmental awareness, expert consultation, discussion of suitability, elaboration, etc. Third, finding an inquiry problem was relatively easy in the inquiry for finding out problems (i.e. inconvenience) in everyday life and investigating ways to solve them. Fourth, the review of prior researches through the internet was useful in the process of selecting keyword and elaboration. Fifth, the factors that students consider when selecting one of several candidate inquiry problems are feasibility, real-life applicability, and economic condition. Sixth, the current affairs had a positive impact on the inquiry problem finding. Based on the above results, we discussed some ways to increase students' inquiry problem finding ability.

• The Korean Publising Journal, Monthly
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• s.356
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• pp.98-99
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• 2005

• The Science & Technology
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• no.5 s.444
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• pp.100-101
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• 2006

• Journal of Korean Library and Information Science Society
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• v.38 no.1
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• pp.135-156
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• 2007

This paper aims to analyze distribution structure of commercial Internet knowledge exchange markets. To that end, it has four specific study goals. First, define the type and volume of information available at the Internet knowledge exchange market as well as that of market users. Second, analyze distribution structure of the Internet knowledge exchange market. Third, identify current issues regarding infringement of intellectual property rights and conduct a survey to understand current standing of Internet knowledge exchange markets' IPR violation. Forth, assess application of Digital Rights Management(DRM) to Internet knowledge exchange markets and DRM's role in controlling unauthorized copying and illegal uses.