Chulsu Lim

Despite the development of various technologies and systems using artificial intelligence (AI) to solve problems related to disasters, difficult challenges are still being encountered. Data are the foundation to solving diverse disaster problems using AI, big data analysis, and so on. Therefore, we must focus on these various data. Disaster data depend on the domain by disaster type and include heterogeneous data and lack interoperability. In particular, in the case of open data related to disasters, there are several issues, where the source and format of data are different because various data are collected by different organizations. Moreover, the vocabularies used for each domain are inconsistent. This study proposes a knowledge graph to resolve the heterogeneity among various disaster data and provide interoperability among domains. Among disaster domains, we describe the knowledge graph for flooding disasters using Korean open datasets and cross-domain knowledge graphs. Furthermore, the proposed knowledge graph is used to assist, solve, and manage disaster problems.

Background/Objectives: In Korea, much effort and budget were spent to improve national R&D information management. However yet, project summaries of national R&D are not accurate enough to be utilized.Methods/Statistical analysis: To examine the accuracy of project summaries, Levenshtein Distance Algorithm (LDA) was applied. LDA is expected to extract improper project summaries of which some parts of sentences are repeatedly used. To evaluate how the algorithm performs with national R&D information in Korea, project summaries of 53,492 national R&D projects that were conducted in 2014 were used.Findings: Unlike other algorithms, LDA was able to detect project summaries consisted of repeatedly used phrases. According to the test with LDA, from 53,492 cases, 3,445 projects had inaccurate contents in project summaries. In details, 2,707 projects had improper research objective, while 712 projects and 26 projects had improper contents in research summary and expected impact, respectively. Although the algorithm allowed extracting repeatedly used phrases, it had problems of time; thus, it was only applied offline. Also, a research had to confirm once more to verify the accuracy of the result.Improvements/Applications: This paper applied LDA to detect inappropriate project summaries. The result implies that by applying LDA, the quality of the information can be improved to facilitate the utilization.

Background/Objectives Rapidly developing and converging S&T promotes collaborative research to outsource R&D resources. Globalized R&D, conducting R&D with other countries, is essential to secure R&D resources from abroad. Methods/Statistical Analysis The purpose of this study is to analyze the state of international R&D projects in South Korea, by focusing on international researchers. National R&D data such as projects and researchers was used, provided by National Science and Technology Information Service (NTIS). The subjects are researchers from collaborative or commissioned projects conducted in the last five years (2012-2016). It was examined by ministries, countries, research performers, and 6T. Findings In 2016, international researchers participated in less than 1, 000 collaborative or commissioned projects, which is a very a small proportion of total number of national R&D projects. Except in 2014, the number of collaborative research increased then the previous year, and 14.7% was increased in 2016. Commissioned projects also increased when comparing to the previous year. Ministry of Trade, Industry and Energy managed the international R&D projects the most, followed by the Ministry of Science and ICT. The U.S. most actively collaborated with Korean R&D projects. Public institutes and government funded research institutes collaborated mostly with Germany, while the ministries, large enterprise, and universities mostly consigned to the U.S. International collaborative R&D projects were conducted in the four technology domains of 6T, IT, ET, NT, and ST with U.S, whereas France collaborated in CT R&D. Commissioned projects with the U.S. were conducted in BT, ET, IT, and NT, while the projects were conducted in BT, ET, IT with China. Improvements/Applications To follow the trend of securing international R&D resources, more interactions with other countries such as attracting international researchers, dispatching researchers abroad, and exchanging information is needed.

Objectives: With open public data trend, Korean NTIS is considering national R&D information system including result materials. This research designs information integration software for linking the information with result materials. Methods/Statistical Analysis: To provide information integration in Korean NTIS including result materials along with 422 metadata items, this study designs and pilot tests a software prototype. The software prototype is designed in Agent Mode, which is based on previously existing standard platform.120,000 cases of data and 2.5GB of result materials were used to test the software prototype. Findings: According to the test result, the entire result materials were transferred in 250 seconds, while the renewal ones were sent in 50 seconds. It implies that the result materials can be transferred time-efficiently through the software. Preceding researchers studied on developing information integration system based on standard platform; however, there was lack of studies on developing the system including result materials. This study suggests a way to provide information service by linking national R&D information with result materials included as well as 422 metadata items. Improvements/Applications: To apply the proposed target model to the existing NTIS environment, further studies need to verify the stability or system quality even when transferring large amount of result materials.