• Proceedings of the Korean Information Science Society Conference
• /
• 1998.10c
• /
• pp.123-125
• /
• 1998

광역 네트워크 정보원으로부터 정보량이 증가함에 따라 효율적인 정보검색 도구의 필요성이 강조되고 있다. 기존의 정보검색 도구는 내용기반 검색방법으로 대상영역에 관계되는 체계적인 지식이 결여되어 사용자의 요구에 정확한 정보의 제공이 어려웠다. 본 논문에서는 광역 네트워크 환경에서 시시각각으로 생성.소멸되는 정보 중 사용자가 원하는 정보를 정확한 시간에 정확하게 제공하기 위해 지능적인 처리가 가능한 Ontology를 이용하였다. 광역 네트워크에 산재하는 대량의 정보원에서 Ontology를 이용하여 사용자가 필요한 정보를 자동적으로 수집.분류하는 지능형 에이전트인 정보검색 시스템을 제안한다.

• Journal of Korea Society of Industrial Information Systems
• /
• v.15 no.5
• /
• pp.187-196
• /
• 2010

We present a link that allows Excel to call the functions in the lp_solve system. lp_solve is free software licensed under the GPL that solves linear and mixed integer linear programs of moderate size. Our link manages the interface between Excel and lp_solve. Excel has a built-in add-in named Solver that is capable of solving mixed integer programs, but only with fewer than 200 variables. This link allows Excel users to handle substantially larger problems at no extra cost. Futhermore, we introduce that a network drawing method in Excel using arc adjacency lists of a network.

• Journal of Korea Technology Innovation Society
• /
• v.20 no.2
• /
• pp.487-517
• /
• 2017

In the context of an increased demand in universities' expansion of networks between other innovation actors, this research attempts to make a comparison on university-centered SCIE knowledge networks between regions. Using regional comparison, we have looked into these networks in regards to their characteristics, the importance of regional boundaries, and the effect of the regional industrial policy. As a result of this comparative analysis, we discovered that the point universities and research universities hold high centrality in regional knowledge networks, and that the characteristics of regions are reflected into this network. For instance, the Gyeonggi province had a preeminent level of industry-academy relationship, while for Daejeon it was public research institutions and academy, and Gangwon province it was between academy between academy. As a network analysis based on journals above SCIE levels, regional boundaries were not very clear in the network structures. However, within these boundaries, the impact of regional industrial policies were proven to be stronger in the Gang-won province where the academy-academy network was most prominent. The implication of this research outcome is that for regional innovation, government should more actively implement policies that can link academic institutes' knowledge to industry by expanding knowledge networks. In addition, we emphasize on the necessity of a regionally-appropriate policy, rather than a generalized industrial policy. And fundamentally, in regards to innovation, establishing a sound industrial infrastructure for regional development and efforts to link relevant actors are required.

• The KIPS Transactions:PartD
• /
• v.18D no.6
• /
• pp.501-508
• /
• 2011

A knowledge map, which has been recently applied in various fields, is discovering characteristics hidden in a large amount of information and showing a tangible output to understand the meaning of the discovery. In this paper, we suggested a knowledge map for research trend analysis based on keyword-relation networks which are constructed by using a database of the domestic journal articles in the computer engineering field from 2000 through 2010. From that knowledge map, we could infer influential changes of a research topic related a specific keyword through examining the change of sizes of the connected components to which the keyword belongs in the keyword-relation networks. In addition, we observed that the size of the largest connected component in the keyword-relation networks is relatively small and groups of high-similarity keyword pairs are clustered in them by comparison with the random networks. This implies that the research field corresponding to the largest connected component is not so huge and many small-scale topics included in it are highly clustered and loosely-connected to each other. our proposed knowledge map can be considered as a approach for the research trend analysis while it is impossible to obtain those results by conventional approaches such as analyzing the frequency of an individual keyword.

• Journal of Internet Computing and Services
• /
• v.14 no.6
• /
• pp.107-115
• /
• 2013

Various networks can be observed in the world. Knowledge networks which are closely related with technology and research are especially important because these networks help us understand how knowledge is produced. Therefore, many studies regarding knowledge networks have been conducted. The assortativity coefficient represents the tendency of connections between nodes having a similar property as figures. The relevant characteristics of the assortativity coefficient help us understand how corresponding technologies have evolved in the keyword-based patent network which is considered to be a knowledge network. The relationships of keywords in a knowledge network where a node is depicted as a keyword show the structure of the technology development process. In this paper, we suggest two hypotheses basedon the previous research indicating that there exist core nodes in the keyword network and we conduct assortativity analysis to verify the hypotheses. First, the patents network based on the keyword represents disassortativity over time. Through our assortativity analysis, it is confirmed that the knowledge network shows disassortativity as the network evolves. Second, as the keyword-based patents network becomes disassortavie, clustering coefficients become lower. As the result of this hypothesis, weconfirm the clustering coefficient also becomes lower as the assortative coefficient of the network gets lower. Another interesting result concerning the second hypothesis is that, when the knowledge network is disassorativie, the tendency of decreasing of the clustering coefficient is much higher than when the network is assortative.

• Proceedings of the Korea Contents Association Conference
• /
• 2015.05a
• /
• pp.395-396
• /
• 2015

최근 정보기술과 모바일 환경의 발전에 따라 서비스의 패러다임이 웹에서 앱 중심으로 다시 변화하고 있다. 또한 연구자의 R&D 생산성 제고를 위한 노력들이 중요하게 인식되고 있다. 본 연구에서는 연구자의 R&D활동을 지원하는 네트워크 기반 개인지식도구에 관한 서비스 모델을 제안한다. 네트워크 기반 개인지식도구는 국내외 과학기술정보 뿐만 아니라 연구자 개개인이 보유한 정보들도 융합하여 R&D활동 과정에서 쉽고 편리하게 활용할 수 있도록 도와줄 것이다. 또한 개인별 도구를 활용함으로써 보다 개인화된 정보서비스가 실현될 수 있을 것으로 기대한다.

• The Journal of Korean Association of Computer Education
• /
• v.18 no.6
• /
• pp.71-79
• /
• 2015

In a new era of Cloud and Big data, how to search the useful data from dynamic huge data pool in a right time and right way is most important at the stage where the information is getting more important. Above all, in the era of s Big Data it is required to design the advanced efficient intelligent Knowledge system which can process the dynamic variable big data. Accordingly in this paper we propose Dynamic personal Knowledge Network as one of the advanced Intelligent system approach. Adopting the human brain function and its neuro dynamics, an Intelligent system which has a structural flexibility was designed. For Structure-Function association, a personal Knowledge Network is made to be structured and to have reorganizing function as connecting the common nodes. We also design this system to have a reasoning process in the extracted optimal paths from the Knowledge Network.

• Information and Communications Magazine
• /
• v.31 no.1
• /
• pp.19-22
• /
• 2013

네트워크는 사람, 사물, ICT 장비, 정보 등이 현실세계와 가상세계에서 서로 연결되는 소통의 통로이다. 네트워크 연구개발이 다루는 기술의 범위는 다양한 서비스를 빠르고 안전하고 저렴하게 언제 어디서나 끊김 없이 제공하는 인프라의 구조, 주소체계, 제어관리 등의 기반 기술과 네트워크를 구성하는 장비, 부품 및 소재 등 인프라 구현기술, 그리고 망관리, 보안, 서비스 전달 플랫폼 등 네트워크 기반 지식 서비스 전달 기술을 포함한다. 본고에서는 네트워크 분야에서 2014년도 정부가 바라보는 중점 이슈와 이에 대한 연구개발 추진 방향에 대해 알아본다.

• Proceedings of the Korean Society for Information Management Conference
• /
• 2000.08a
• /
• pp.169-174
• /
• 2000

본 연구에서는 연구개발정보센터(KORDIC)의 해외과학기술정보 서비스(Oversea -Advanced Scientific Information Service, OASIS)인 한민족과학기술자네트워크(KOSEN, The Global Network for Korean Scientists and Engineers)와 해외과학기술정보네트워크 (OSTIN, Oversea Scientific and Technological Information Network)를 서비스 중심으로 소개하고 이용자 만족도 조사·분석을 통해 두 네트워크가 단순 정보 교환의 매개체로 활용되는 것이 아니라, 고급 지식을 전달하는 매개체로 활용되도록 하기 위한 효율적인 KOSEN/OSTIN 활용방안을 제시하고자 하였다.

• Journal of the Korea Society of Computer and Information
• /
• v.14 no.10
• /
• pp.43-53
• /
• 2009

Knowledge retrieval service that uses collective intelligence which has special quality of open structure and can share the accumulative data is gaining popularity. However, acquiring the right needs for users from massive public knowledge is getting harder. Recently, search results from Google which is known for it's exquisite algorism, shows results for collective intelligence such as Wikipedia, Yahoo Q/A at the highest rank. Objective of this paper is to show that most answers come from human and to find the most influential people in on-line knowledge retrieval service. Hereupon, this paper suggest the influence value calculation algorism by analyzing user relation as centrality which social network is based on user activeness and reliance in Naver 지식iN. The influence value calculated by the suggested algorism will be an important index in distinguishing reliable and the right user for the question by ranking users with troubleshooting solutions in the knowledge retrieval service. This will contribute in search satisfaction by acquiring the right information and knowledge for the users which is the most important objective for knowledge retrieval service.