• Journal of Information Science Theory and Practice
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• v.2 no.2
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• pp.16-32
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• 2014

As Topic Modeling has been applied in increasingly various domains, the difficulty in naming and characterizing topics also has been recognized more. This study, therefore, explores an approach of combining text mining with network analysis in a multi-step approach. The concept of synchronization was applied to re-assign the top author keywords in more than one topic category, in order to improve the visibility of the topic-author keyword network, and to increase the topical cohesion in each topic. The suggested approach was applied using 16,548 articles with 2,881 unique author keywords in construction and building engineering indexed by KSCI. As a result, it was revealed that the combined approach could improve both the visibility of the topic-author keyword map and topical cohesion in most of the detected topic categories. There should be more cases of applying the approach in various domains for generalization and advancement of the approach. Also, more sophisticated evaluation methods should also be necessary to develop the suggested approach.

• The Journal of the Korea Contents Association
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• v.22 no.7
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• pp.73-80
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• 2022

In this study, prior studies of 280 small business owners in Korea over the past two decades were comprehensively analyzed through keyword network and LDA topic modeling analysis, and overall views and trends in academia were examined. As core keywords, "sales" and "protection," which conflict with each other but are essential for stable and sustainable growth were selected, and 7 topics (Topic 1: start-up, topic 2: digital, topic 3: tax system, topic 4: capability, topic 5: coexistence, topic 6: regulation, and topic 7: funding) were drawn up. Based on the results of the analysis, the need to improve digital maturity for the continued growth and development of small business owners was raised, and the response at the pan-ministerial level and the stability of the performance of functions that can survive even after the new administration to solve the economic damage problems facing small business owners were suggested. In addition, attention to the long-term, speed, detail, and direction of government support in a new way, and a flexible approach to the negative way in which pre-allowance and post-regulation is given were suggested.

• Journal of the Korean Society for information Management
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• v.32 no.1
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• pp.153-169
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• 2015

The combined approach of using ego-centric network analysis and dynamic citation network analysis for refining the result of LDA-based topic modeling was suggested and examined in this study. Tow datasets were constructed by collecting Web of Science bibliographic records of White LED and topic modeling was performed by setting a different number of topics on each dataset. The multi-assigned top keywords of each topic were re-assigned to one specific topic by applying an ego-centric network analysis algorithm. It was found that the topical cohesion of the result of topic modeling with the number of topic corresponding to the lowest value of perplexity to the dataset extracted by SPLC network analysis was the strongest with the best values of internal clustering evaluation indices. Furthermore, it demonstrates the possibility of developing the suggested approach as a method of multi-faceted research trend detection.

• Journal of The Korean Association of Information Education
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• v.19 no.4
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• pp.499-508
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• 2015

As society evolves into the information society, major countries strengthen software education. Especially, the curriculums of school to enlarge software education are made in major countries. Therefore, Korea Association of Information Education (KAIE) have studied a standard model for software education and revised the standard model that was published in 2014. The KAIE suggested a new plan that contents of software education classify by 'Software', 'Computer System' and 'Convergence Activities.' Therefore, I studied on a curriculum for 'Information' topic in elementary school. In this paper, I suggested the achievement goals for education of 'Information' topic. I nextly suggested teaching-learning and evaluation methods to meet the achievement goals. And I expect that the achievement goals, teaching-learning and evaluation methods I suggested about 'Information' topic will contribute to develop the curriculum for software education.

• Journal of the Korean Society for information Management
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• v.29 no.4
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• pp.295-312
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• 2012

This research aims to present the ego-centered topic citation analysis, which is a new application of White's ego-centered citation analysis, for analyzing multilayered knowledge structure of a subject domain. An experimental topic citation analysis was carried out on the folksonomy research documents retrieved from Web of Science. Ego-centered topic citation analyses on folksonomy research domain were conducted in three stages: ego-documents set analysis, topic citation identity analysis, and topic citation image analysis. The results showed that the ego-centered topic citation analysis suggested in this study was successfully performed to illustrate the inner and the outer knowledge structures of folksonomy research domain.

• Journal of Korean Elementary Science Education
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• v.36 no.4
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• pp.405-427
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• 2017

This study aims to describe various teaching cases about 'earth revolution' in terms of PCK; knowledge of curriculum, knowledge of teaching strategies and knowledge of assessment. Based on these various cases we suggested PCK progressions about 'earth revolution'. For these, we recorded 'solar system and star' classes of nine elementary school teachers' in Kangwon, Gyeonggi, Gwangju, and Seoul. We adopted Lee & Lee (2016)'s topic-specific PCK framework to analyze the classes. As results, we suggested topic-specific PCK progression about 'earth revolution'. The results showed the upper anchor of the earth revolution class were exploring the reason of the change of constellation, finding the tendency of constellation change. These teachings were carried by the teachers' adaptive strategies. The upper anchor of the assessment was monitoring students' understanding during the whole class. The PCK progression about 'earth revolution' could help the teachers plan the earth revolution class, and reflect their own teachings.

• Journal of The Korean Association of Information Education
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• v.18 no.2
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• pp.243-254
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• 2014

We need problem solving abilities based on the information abilities in information-oriented society. New curriculum is demanded by new technology and circumstance to need the core competencies. Korea Association of Information Education has studied new curriculum and suggested new plans that contents of information education classified by 'Software', 'Computer System' and 'Convergence Activities.' Therefore, we studied on 'Problem Solving' topic of the 'Software' section of first grade to ninth grade. In this paper we firstly categorized 'Problem Solving' as 'Problem Comprehension and Analysis', 'Data Management', 'Strategy Establishment for Problem Solving', 'Problem Solving Method Seeking and Development' and 'Examination of Problem Solving Method.' We nextly suggested the achievement goals, teaching-learning methods and evaluation methods of 'Problem Solving' topic. We expect that the achievement goals and teaching-learning methods we suggested about 'Problem Solving' topic will contribute to training talented individuals.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.8
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• pp.1637-1646
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• 2009

Recently many researchers have been studying various methods for data integration. Among the integration methods that the researchers have studied, there are a method using metadata repository, and Topic Map which identifies the relationships between the data. This study suggests Meta-Topic Map to create Topic Map about search keyword by applying metadata and Topic Map, and the XMDR as a way to connect Meta-Topic Map with metadata in the legacy system. Considering the semantic relationship of user's keyword in the legacy system, the Meta-Topic Map provides the Topic Map format and generates the Topic Map about user's keyword. The XMDR performs structural integration through solving the problem of heterogeneity among metadata in the legacy system. The suggested svides isproves the interoperability among existing Relational Database constructed in the legacy system and the search efficiency and is efficient in expanding the system.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.10a
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• pp.970-973
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• 2012

In cloud environment, enterprises use a number of systems which are not interconnected and save master information in a distributed way in each of them. Master information which is not managed is incorrect and discord each other so that lowers efficiency of business process and disables optimum decision making. It is necessary to do high-qualified management of master information to operate efficient and errorless business process. This paper suggests TMDM as a solution to solve heterogeneous problems occurred between interconnected master information in cloud environment and to manage business process in an efficient method. TMDM is an information storage that is suggested to solve mutual discord problems between master information using Topic Maps that considers correlation between data. Topic Maps can be connected by association between topics in order to access through a topic to all related knowledge information which is described by the topic. This also can be applied to master information between legacy systems within cloud.

• Journal of Convergence for Information Technology
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• v.12 no.3
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• pp.302-310
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• 2022

This study examined the results obtained using the text mining method for research trends related to learning counseling among adolescents and suggested subsequent research directions. The top 1 and 2 of Korean youth concerns are learning and career paths. Topic modeling analysis was conducted using text mining techniques that can minimize researcher's subjectivity and prejudice for 201 academic papers above KCI registration candidates through RISS with keywords such as Learning Counseling and Academic Counseling. Learning counseling topic results showed counseling experience [topic 1], group counseling research [topic 2], parent counseling [topic 3], and learning technology program development [topic 4]. Research related to learning counseling is developing counseling for emotional stability. Group counseling, parent counseling, and learning technology programs. Learning counseling to solve adolescents' concerns is expected to continue research on integrated support through psychological emotion, parent counseling, and collaboration with learning technology experts.