• 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.

• Proceedings of the Korea Contents Association Conference
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• 2006.05a
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• pp.223-226
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• 2006

The development of Semantic Web basically requires knowledge induced from the formalization and semantization of information, and thus ontology should be introduced as a knowledgization tool. URI(Universal Resource Identifier) is an indispensible scheme to uniquely indicate individuals on ontology. However, it is difficult to find the use cases of URI in real data including science & technology publications. This paper describes the method to construct human resources based on URI which are the critical components on national R&D reference information ontology. We use co-authors, e-mails, publication date, and affiliation for discriminating authors with the same strings. HRST is referred to acquire human resource URIs. We expect the human resources would be adopted to outcome analysis applications such as researcher network analysis and outcome statistics.

• Journal of the Korean Society for Library and Information Science
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• v.53 no.2
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• pp.179-199
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• 2019

In this paper, we propose optimal methodologies for classifying patent literature by examining various feature extraction methods, machine learning and deep learning models, and provide optimal performance through experiments. We compared the traditional BoW method and a distributed representation method (word embedding vector) as a feature extraction, and compared the morphological analysis and multi gram as the method of constructing the document collection. In addition, classification performance was verified using traditional machine learning model and deep learning model. Experimental results show that the best performance is achieved when we apply the deep learning model with distributed representation and morphological analysis based feature extraction. In Section, Class and Subclass classification experiments, We improved the performance by 5.71%, 18.84% and 21.53%, respectively, compared with traditional classification methods.

• Journal of the Korean Society for Library and Information Science
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• v.56 no.4
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• pp.285-307
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• 2022

This study examines the policies currently announced in the "3rd Comprehensive Library Development Plan" in relation to the discovery of individuals' potential in libraries and analyzes the current status of the tasks promoted and executed by central administrative agencies and municipal and provincial libraries based on these policies. Based on the analysis results, this study presents the methods for libraries to play their role in discovering the potential of individuals in the future. According to the results of this study, due to the poor performance of libraries resulting from reduced in-person events because of library closures and the promotion of non-contact services such as humanities classes and cultural programs in response to COVID-19, it is necessary to establish systems to support emergency management and non-contact programs in response to COVID-19, as well as increase the budget for extending reading culture projects for underprivileged regions and people. In addition, it is necessary to discover quality long-term, non-contact programs, provide infrastructure for non-contact program operation, and develop guidelines. Second, it is observed that communication- and discussion-type social reading programs need to be promptly converted into and operated as online classes. Third, the study results confirm that it is necessary to prepare measures to reinforce external cooperation, such as improving the convenience of and accessibility to information use for users, conducting seminars between domestic and foreign councils, promoting one-stop data sharing systems, executing data digitalization, expanding library infrastructure in preparation for the post-COVID-19 era, and promoting public relations activities.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.29 no.3
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• pp.89-109
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• 2018

This study investigates the influence of project-based learning method on the self-directed learning and problem-solving abilities of students taking the 'Media Center Management' course in Library Information Science (LIS). During this study, two tests measuring students' self-directed learning and problem-solving abilities were conducted, containing 48 items divided into 8 categories and 30 items divided into 5 steps of problem-solving processes, respectively. By utilizing the correspondence sample T-test during this study, statistically significant results were found in all categories of self-directed learning, excluding the 'self-understanding' category. In addition, significant differences were found in the 5 steps problem-solving processes as well. Subsequently, an in-depth interview was conducted, inquiring into the students' perspectives on the difficulty of attending classes, the content of lectures, the appropriateness of assignments, the validity of the evaluation method, the relationship with their team members, and the benefits acquired from completing the assignments. Finally, suggestions for future research were presented.

• Journal of the Korean Society for Library and Information Science
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• v.33 no.4
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• pp.133-156
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• 1999

The purpose of this paper is to show how conceptual data modeling can enhance current information retrieval (IR) systems. The conceptual database design provides for: 1) data mining capability to discover new knowledge based on the relationships between entities, and 2) integrating current separate databases into one IR system (e.g., integrating ISI Citation, a thesaurus, and bibliographic databases into one retrieval system) . Further, as new user requirements are unfolded, modifications of IR systems based on conceptual data modeling will be much easier to make than they were in the current IR systems because conceptual modeling facilitates flexible modifications. The enhanced Entity-Relationship (ER) model was employed in this study to develop conceptual schemas of IR data.

• Journal of the Korean Society for information Management
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• v.23 no.4 s.62
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• pp.277-294
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• 2006

This paper examines a level of categorization performance in a real-life collection of abstract articles in the fields of science and technology, and tests the optimal size of documents per category in a training set using a kNN classifier. The corpus is built by choosing categories that hold more than 2,556 documents first, and then 2,556 documents per category are randomly selected. It is further divided into eight subsets of different size of training documents : each set is randomly selected to build training documents ranging from 20 documents (Tr-20) to 2,000 documents (Tr-2000) per category. The categorization performances of the 8 subsets are compared. The average performance of the eight subsets is 30% in $F_1$ measure which is relatively poor compared to the findings of previous studies. The experimental results suggest that among the eight subsets the Tr-100 appears to be the most optimal size for training a km classifier In addition, the correctness of subject categories assigned to the training sets is probed by manually reclassifying the training sets in order to support the above conclusion by establishing a relation between and the correctness and categorization performance.

• Annual Conference on Human and Language Technology
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• 2006.10e
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• pp.89-97
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• 2006

과학기술 문헌에 대한, 정확한 인용 정의의 제공을 위해서는 인용 관계를 구성하는 인력에 대한 동명이인 문제가 우선적으로 해소되어야 한다. 본 논문에서는 정확한 저자 중심의 인용 관계 및 네트워크를 구축하기 위해 URI(Universal Resource Identifier)를 이용하는 방법을 제안한다. 본 연구의 특징은, 지속적으로 추가되고 갱신되는 인용 정보를 일관성 있게 유지하고 정확한 문헌으로의 접근성을 보장하기 위해, 시맨틱웹 기술의 하나인 URI를 문헌과 저자에 적용하여 저자 중심 인용 관계 및 네트워크를 구축한다는 것이다. 실험에서는, 국내 학술대회 발표 논문들로부터 2,872개의 저자 중심 인용 관계 쌍을 추출하였고, 이를 바탕으로 구축한 저자 인용 네트워크에서는 135개의 인용 네트워크 그룹을 발견할 수 있었다. 본 연구의 결과는 향후 국가과학기술인력 종합정보시스템에서 제공하는 인력 DB 및 과학기술정보 포털서비스인 YesKiSTi와의 연계를 통하여 새로운 개념의 다양한 연구자 네트워크 서비스를 제공할 수 있을 것으로 기대된다.

• Journal of the Korean Society for Library and Information Science
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• v.53 no.2
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• pp.139-157
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• 2019

The purpose of this study is to analyze the link between the School Library Development Plan and the Library Advancement Plan. And to find ways to strengthen the educational community cooperation. As a result of the research, we found 18 connections between the School Library Development Plan and the Library Advancement Plan. In particular, all types of libraries should participate in the Educational Community Cooperation. And emphasized that the school library should act as a gateway. In order to strengthen the cooperation of education community, the library specialization of each kind of library and the establishment of curriculum of school library were suggested.

• Journal of the Korea Society of Computer and Information
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• v.5 no.3
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• pp.132-141
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• 2000

Designing and implementing to support both technical and social interaction by group members, GDSS can effect positively on developing and sustaining knowledge-intensive organization. This study proposes usage types of GDSS as KMS. By understanding level of GDSS, knowledge transfer process, and group members' interaction modes, we suggest some additional characteristics of GDSS and possible technology to be able for ai)plying to GDSS.