• Information Systems Review
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• v.21 no.4
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• pp.99-123
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• 2019

The software industry is a high value-added industry in the knowledge information age, and its importance is growing as it not only plays a key role in knowledge creation and utilization, but also secures global competitiveness. Among various SW available in today's business environment, Open Source Software(OSS) is rapidly expanding its activity area by not only leading software development, but also integrating with new information technology. Therefore, the purpose of this research is to empirically examine and analyze the effect of factors on the switching behavior to OSS. To accomplish the study's purpose, we suggest the research model based on "Push-Pull-Mooring" framework. This study empirically examines the two categories of antecedents for switching behavior toward OSS. The survey was conducted to employees at various firms that already switched OSS. A total of 268 responses were collected and analyzed by using the structural equational modeling. The results of this study are as follows; first, continuous maintenance cost, vender dependency, functional indifference, and SW resource inefficiency are significantly related to switch to OSS. Second, network-oriented support, testability and strategic flexibility are significantly related to switch to OSS. Finally, the results show that willingness to secures SW competitiveness has a moderating effect on the relationships between push factors and pull factor with exception of improved knowledge, and switch to OSS. The results of this study will contribute to fields related to OSS both theoretically and practically.

• KIPS Transactions on Software and Data Engineering
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• v.9 no.8
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• pp.243-250
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• 2020

Knowledge graph-based question answering not only requires deep understanding of the given natural language questions, but it also needs effective reasoning to find the correct answers on a large knowledge graph. In this paper, we propose a deep neural network model for effective reasoning on a knowledge graph, which can find correct answers to complex questions requiring multi-hop inference. The proposed model makes use of highly expressive bilinear graph neural network (BGNN), which can utilize context information between a pair of neighboring nodes, as well as allows bidirectional feature propagation between each entity node and one of its neighboring nodes on a knowledge graph. Performing experiments with an open-domain knowledge base (Freebase) and two natural-language question answering benchmark datasets(WebQuestionsSP and MetaQA), we demonstrate the effectiveness and performance of the proposed model.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.617-619
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• 2015

최근 IT 제품의 활용의 증가와 함께 소프트웨어는 컴퓨터를 넘어 적용 범위가 더욱 넓어지고 그에 따른 수요 또한 급격히 성장하고 있다. 또한 상용 소프트웨어와 더불어 오픈소스 소프트웨어(Open Source Software)의 수요도 함께 급성장하고 있다. 하지만 오픈소스 소프트웨어는 보안에 대한 전문지식이 없는 개발자에 의해 개발이 이루어진다. 이에 하트블리드(HeartBleed), 쉘쇼크(ShellShock)와 같은 다양한 보안취약점(Security Vulnerabilities)이 발생하고 있으며 공격으로 이어지는 사례도 늘고 있다. 따라서 본 논문에서는 다른 소프트웨어 점검 도구들과 연계하여 발견된 보안취약점이 익스플로잇터블(Exploitable)한 지 검증하는 엔진을 제안한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.05a
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• pp.563-566
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• 2020

지식 그래프 기반의 질문 응답 문제는 자연어 질문에 대한 이해뿐만 아니라, 기반이 되는 지식 그래프상에서 올바른 답변을 찾기 위한 효과적인 추론 능력을 요구한다. 본 논문에서는 다중 홉 추론을 요구하는 복잡한 자연어 질문에 대해 연관 지식 그래프 위에서 답변 추론을 효과적으로 수행할 수 있는 심층 신경망 모델을 제안한다. 제안 모델에서는 지식 그래프상의 추론 과정에서 추른 경로를 명확히 하기 위한 노드의 양방향 특정 전파와 이웃 노드들 간의 맥락 정보까지 각 노드의 특정값에 반영할 수 있는, 표현력이 풍부한 쌍 선형 그래프 신경망 (BGNN)을 이용한다. 본 논문에서는 오픈 도메인의 지식 베이스 Freebase와 자연어 질문 응답 데이터 집합 WebQuestionsSP를 이용한 실험들을 통해, 제안 모델의 효과와 우수성을 확인하였다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.4
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• pp.181-186
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• 2014

Knowledge sharing by collective intelligence, and knowledge production/sharing by outer cooperation is also important for the company. Therefore, it is needed the next generation KMS(Knowledge Management System) designed and built which based on SNS. In my paper, the problems of KMS are analyzed and new KMS's requirements and paradigm changes are examined by analysis of investigation of existing KMS. KMS based on SNS is appropriate for the next generation KMS in consideration of new KMS's requirements, that is, collective intelligence, open innovation, and convergence with IT technology. So a building method of KMS based on SNS is presented by new next generation KMS's architecture, main design and knowledge-talk design.

• Journal of Korean Library and Information Science Society
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• v.37 no.2
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• pp.145-171
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• 2006

Motivated by the open access movement, research institutions are building Institutional repositories for a nation-wide knowledge distribution infrastructure. IKIS (Institute Knowledge Inventory System) was proposed to integrate materials produced by government-sponsored 23 institutions of the economic, social and human fields, to contribute for policy-making in national agenda and to proffer services to a people. As IKIS project goes on. the project turns out to be slower than planned especially In terms of building up content and improving system functions. This study aims to investigate the methods for promoting the system in terms of management and system developments using multiple research methods such as surveys and interviews. Five issues including budgets and marketing are proposed for the management strategies, whereas three ones Including content and system performance improvements are suggested for the system development. The study results can be utilized as guidelines for managing university and school repositories as well as IKIS.

• The Journal of Society for e-Business Studies
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• v.21 no.2
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• pp.23-46
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• 2016

With the increasing socio-economic value of an open collaboration over the Internet, it has become significantly important to successfully manage open source software development program. Most of the previous research have focused on various factors that influence the performance of the project, but studies on how the project owners recognized as "leader" affect the outcome of the project are very limited. This research investigates how individual and governance characteristics of an owner influences the performance of project based on impression formation and social capital theory. For a data set, we collect 611 Repositories and the owner's data from the open source development platform Github, and we form knowledge sharing network of an each repository by using social network analysis. We use hierarchical regression analysis, and our results show that a leader, who exposes a lot of one's personal information or who has actively followed and showed interests to communicate with other developers, affects positive impacts on project performance. A leader who has a high centrality in knowledge sharing network also positively affects on project performance. On the other hand, if a leader was highly willing to accept external knowledge or is recognized as an expert in the community with large numbers of followers, the result show negative impacts on project performance. The research may serve as a useful guideline not only for the future open source software projects but also for the effective management of different types of open collaboration.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.9
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• pp.1666-1672
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• 2016

In recent years, smart technology has been applied to various information system fields. Especially, traditional library service area is changing to Smart-Library from Digital-Library. In this environment are need to library service software platform for supporting variety content, library services, users and smart-devices. Due to this, existing library service has a limitation that inhibits semantic interoperability between different heterogeneous library systems. In this paper, we propose Linked-Open-Data based smart library as an archetype of future-library system that provide a variety content and system interaction and integration of services. It is an innovative system of the cutting-edge information intensive. Therefore, we designed system environments according to various integration requirements for smart library based on Linked-Open-Data. And, we describe the functional requirements of smart-library systems by considering the users' demands and the eco-systems of information technology. In addition, we show the reference framework, which can accommodate the functional requirements and provide smart knowledge service to user through a variety of smart-devices.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.8
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• pp.985-992
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• 2020

Edge computing is a technology that can prepare for a new era of cloud computing. Edge computing is not a remote data center where data is processed and computed, but low-latency/high-speed computing is realized by adding computing power and data processing power to the edge side close to an access point such as a terminal device or a gateway. It is possible. The types of edge computing include mobile edge computing, fog computing, and cloudlet computing. In this article, we describes existing open source platforms for implementing edge computing nodes. By presenting and comparing the structure, features of open source edge platforms, it is possible to acquire knowledge required to select the best edge platform for industrial engineers who want to build an edge node using an actual open source edge computing platform.

• The Journal of the Korea Contents Association
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• v.17 no.12
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• pp.1-10
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• 2017

Open data has received a lot of attention from around the world. The Korean government is also making efforts to open government data. However, despite the quantitative increase in public data, the lack of data is still pointed out. This paper proposes a method to improve data sharing and utilization by semantically linking public data. First, we propose a knowledge model for expressing administrative districts and their semantic relationships in Korea. An administrative district is an administrative unit that divides the territory of a nation, which is a unit of politics, according to the purpose of the state administration. The knowledge model of the administrative district defines the structure of the administrative district system and the relationship between administrative units based on the Local Autonomy Act. Second, a knowledge graph of the administrative districts is introduced. As a reference information to link public open data at a semantic level, some characteristics of a knowledge graph of administrative districts and methods for linking heterogeneous public open data and improving data quality are addressed. Finally, some use cases are addressed for interlinking between the knowledge graph of the administrative districts and public open data. In particular, national administrative organisations are interlinked with the knowledge graph, and it demonstrates how the knowledge graph can be utilised for improving data identification and data quality.