• Journal of Intelligence and Information Systems
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• v.24 no.1
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• pp.183-203
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• 2018

News articles are the most suitable medium for examining the events occurring at home and abroad. Especially, as the development of information and communication technology has brought various kinds of online news media, the news about the events occurring in society has increased greatly. So automatically summarizing key events from massive amounts of news data will help users to look at many of the events at a glance. In addition, if we build and provide an event network based on the relevance of events, it will be able to greatly help the reader in understanding the current events. In this study, we propose a method for extracting event networks from large news text data. To this end, we first collected Korean political and social articles from March 2016 to March 2017, and integrated the synonyms by leaving only meaningful words through preprocessing using NPMI and Word2Vec. Latent Dirichlet allocation (LDA) topic modeling was used to calculate the subject distribution by date and to find the peak of the subject distribution and to detect the event. A total of 32 topics were extracted from the topic modeling, and the point of occurrence of the event was deduced by looking at the point at which each subject distribution surged. As a result, a total of 85 events were detected, but the final 16 events were filtered and presented using the Gaussian smoothing technique. We also calculated the relevance score between events detected to construct the event network. Using the cosine coefficient between the co-occurred events, we calculated the relevance between the events and connected the events to construct the event network. Finally, we set up the event network by setting each event to each vertex and the relevance score between events to the vertices connecting the vertices. The event network constructed in our methods helped us to sort out major events in the political and social fields in Korea that occurred in the last one year in chronological order and at the same time identify which events are related to certain events. Our approach differs from existing event detection methods in that LDA topic modeling makes it possible to easily analyze large amounts of data and to identify the relevance of events that were difficult to detect in existing event detection. We applied various text mining techniques and Word2vec technique in the text preprocessing to improve the accuracy of the extraction of proper nouns and synthetic nouns, which have been difficult in analyzing existing Korean texts, can be found. In this study, the detection and network configuration techniques of the event have the following advantages in practical application. First, LDA topic modeling, which is unsupervised learning, can easily analyze subject and topic words and distribution from huge amount of data. Also, by using the date information of the collected news articles, it is possible to express the distribution by topic in a time series. Second, we can find out the connection of events in the form of present and summarized form by calculating relevance score and constructing event network by using simultaneous occurrence of topics that are difficult to grasp in existing event detection. It can be seen from the fact that the inter-event relevance-based event network proposed in this study was actually constructed in order of occurrence time. It is also possible to identify what happened as a starting point for a series of events through the event network. The limitation of this study is that the characteristics of LDA topic modeling have different results according to the initial parameters and the number of subjects, and the subject and event name of the analysis result should be given by the subjective judgment of the researcher. Also, since each topic is assumed to be exclusive and independent, it does not take into account the relevance between themes. Subsequent studies need to calculate the relevance between events that are not covered in this study or those that belong to the same subject.

• Korean Journal of Heritage: History & Science
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• v.57 no.1
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• pp.54-79
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• 2024

The purpose of this research is to fill the vacuum created by the tendency of bias towards China among the curators of Korean museums who plan exhibitions focusing on Balhae, and to share with researchers in the countries concerned various supplementary research materials that could deepen their understanding of the history of Balhae. These materials are based on analyses of the details of exhibitions about Balhae held in a particular Russian museum and the characteristics of and changes in the museum's operational policy. Thus, this research focuses mainly on the permanent and special exhibitions held by the Far East History Museum and Reserve, whose collection represents the archaeological achievements of Russia regarding the history of Balhae. The first part of the research focuses on the layout of the exhibitions presented by the museum and the museum's operational policy. It reveals that the museum's permanent exhibitions follow a diachronic arrangement of the local history, while the first and second special exhibitions featured exhibits that were selected from the collections of the Russian Academy of Sciences and arranged according to specific themes. It also examines the museum's policy for operating the exhibitions, focusing on the operational rules, the human resources deployed to run them, and the related educational and PR programs. The second part of the research examines such issues as local politics, economy, education and culture related to the exhibitions on Balhae's history, and connects them to the background and development of the exhibitions. This study reveals that the permanent exhibitions were intended to promote historical awareness of the local area by museum visitors, particularly those who visited the exhibitions while the city was hosting important events such as international summits. It also reveals that the museum's first special exhibition led to the promotion of Korea-Russia cooperation on exchanges in the fields of culture and tourism, whereas the second special exhibition involved no PR efforts or related events, which was probably due to the changes that have occurred in the relationship between Russia and its neighboring countries since then. The final part of the study focuses on the characteristic features of the exhibition narratives, and compares school textbooks on local history and history books for general readers with the contents of the exhibitions. The analysis of the narratives based on the development of time shows that the history of the Mohe (or Malgal) tribes has been combined with that of Balhae, while they are treated separately in school textbooks. As regards political history, the narrative was largely focused on officials in Balhae's central government rather than on Mohe warriors in the border areas. The maps of Balhae presented in the exhibitions highlight the importance of accumulating empirical data. As for the exhibition of material cultures, this study suggests that the museums should obtain more archaeological floral and faunal remains related with agriculture and hunting. It also points out that the narrative on the theme of foreign relations deals with the archaeological relics of Unified Silla together with those of the Turkic tribes. As for the theme of philosophy and culture, the narrative focused on the state ceremonies and rituals of Goguryeo, a theme that has attracted little attention among Korean academic circles and which consequently requires further study. In conclusion, this study is meaningful in that it suggests a number of research topics regarding the development of exhibitions and exhibition narratives about the history of Balhae by a prestigious Russian museum that specializes in this subject.