• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제9권1호
• /
• pp.407-420
• /
• 2015

Natural Language Question Answering (NLQA) and Prescriptive Analytics (PA) have been identified as innovative, emerging technologies in 2015 by the Gartner group. These technologies require knowledge bases that consist of data that has been extracted from unstructured texts. Every business requires a knowledge base for business analytics as it can enhance companies' competitiveness in their industry. Most intelligent or analytic services depend a lot upon on knowledge bases. However, building a qualified knowledge base is very time consuming and requires a considerable amount of effort, especially if it is to be manually created. Another problem that occurs when creating a knowledge base is that it will be outdated by the time it is completed and will require constant updating even when it is ready in use. For these reason, it is more advisable to create a computerized knowledge base. This research focuses on building a computerized knowledge base for business using a supervised learning and rule-based method. The method proposed in this paper is based on information extraction, but it has been specialized and modified to extract information related only to a business. The business knowledge base created by our system can also be used for advanced functions such as presenting the hierarchy of technologies and products, and the relations between technologies and products. Using our method, these relations can be expanded and customized according to business requirements.

• 한국정보시스템학회지:정보시스템연구
• /
• 제3권
• /
• pp.71-82
• /
• 1994

Knowledge acquisition, maintenance of knowledge base, and validation and verification of knowledge are the addressed bottlenecks of building successful knowledge based systems. Along with the increment of interesting in the knowledge based systems, the organization needs to develop a new one although it has a similar one. This causes several serious problems including knowledge redundancy and maintenance of knowledge base. This paper present three models of the reusable knowledge base which might be the solution to the above problem. Three models are : 1) multiple knowledge bases for a single AI application, 2) multiple knowledge bases for multiple AI applications, 3) a single knowledge base for multiple AI applications. A new approach to build such a reusable knowledge base in a homogeneous environment is presented. Our model combines the essential object-oriented techniques with rules in a consistent manner. Important aspects of applying object-oriented techniques to AI are discussed (inheritance, encapsulation, message passing), and some potential problems in building an AI application (decomposition technique of knowledge, search time, and heterogeneous environment) are pointed out. The models of a reusable knowledge base provide several amenities : 1) reduce the knowledge redundancy, 2) reduce the effort of maintenance of the knowledge base, 3) reuse the resource of the multiple domain knowledge bases, 4) reduce the development time.

• 기술혁신학회지
• /
• 제18권2호
• /
• pp.338-357
• /
• 2015

본 연구에서는 고용노동부의 '임금구조기본통계조사'와 '고용형태별근로실태조사 보고서'를 정량적으로 분석하여 지식기반경제로의 진입 시점에 대한 실증적 연구를 제시하고자 한다. 지식기반경제로의 진입 기준은 Bell과 Toffler의 정의를 통해, 정신노동자 수가 육체노동자 수를 능가하는 시점으로 정하였으며, 정신노동자를 지식정보직으로 분류하였다. Porat의 지식정보직 정의로부터 한국표준직업분류표상의 직업들을 지식정보직, 서비스직, 제조업직, 농어업산림직으로 직업분류를 수행하였다. 분석 결과 지식정보직의 노동자 수 구조변화와 연간임금액 구조변화를 통해 지식정보사회의 진입 시점이 1980년인 미국보다 20년 늦은 2000년임을 실증적으로 확인했다. 또한, 지식기반경 제에서의 직업분류별 경제기여도를 측정하여 지식정보직의 직업분류별 경제기여도가 가장 큰 것을 확인하였다.

• 한국도서관정보학회지
• /
• 제40권2호
• /
• pp.139-159
• /
• 2009

본 연구의 목적은 이용자 지향적인 정보검색을 수행하기 위한 질의확장용 지식베이스를 구축하는 것이다. 이를 위해 개념기반 정보검색방법과 통계적 기반 정보검색방법을 이용한 지식베이스 구축에 관련된 다양한 이론 연구를 수행하였다. 이들 지식베이스 구축방법에 있어서 공통된 가설은 연관용어의 출현은 문헌집합내의 동시출현 빈도임을 재확인하였고, 이 가설을 근거로 색인파일 알고리즘과 부울 논리의 And 연산자를 이용하여 질의확장용 지식베이스를 구축하였다. 본 지식베이스의 실험 주제는 교육학이며, 교육학개론이란 단행본을 이용하여 색인어들의 연관용어를 자동으로 제시해줄수 있는 실험용 지식베이스를 구축하였다. 실험용 지식베이스는 자연어색인방법과 통제어색인방법을 이용하여 두 개의 지식베이스를 구축해 각 지식베이스 시스템의 질의확장 성능에 대한 평가 작업을 수행하였다.

• 지식경영연구
• /
• 제1권1호
• /
• pp.81-90
• /
• 2000

This study proposes the knowledge discovery process for the effective mining of knowledge on the web. The proposed knowledge discovery process uses the Prior knowledge base and the Prior knowledge management system to reflect tacit knowledge in addition to explicit knowledge. The prior knowledge management system constructs the prior knowledge base using a fuzzy cognitive map, and defines information to be extracted from the web. In addition, it transforms the extracted information into the form being handled in mining process. Experiments using case-based reasoning and neural network" are performed to verify the usefulness of the proposed model. The experimental results are encouraging and prove the usefulness of the proposed model.

• 한국정보시스템학회지:정보시스템연구
• /
• 제16권4호
• /
• pp.1-31
• /
• 2007

The current study investigates the relationship of antecedents of flow, organizational commitment, knowledge sharing, information technology usage for knowledge sharing, and job satisfaction of organizational employees. This study analyze the effects of psychological states of employees both on affective states of them and on knowledge sharing by applying the internet-based flow theory to knowledge sharing. The antecedents of flow are found to have positive effects on organizational commitment. In addition, it is found that organizational commitment has a positive effect on knowledge sharing, information technology usage for knowledge sharing, and job satisfaction. While it is found that knowledge sharing has a positive effect on job satisfaction, it is found that information technology usage for knowledge sharing does not have an effect on job satisfaction, but have a positive effect on knowledge sharing. The result of this study would not only provide significant insights to knowledge management researchers and practitioners but also contribute to applying the flow theory to knowledge sharing.

• 한국지능정보시스템학회:학술대회논문집
• /
• 한국지능정보시스템학회 2001년도 The Pacific Aisan Confrence On Intelligent Systems 2001
• /
• pp.511-515
• /
• 2001

Many intelligent agent systems are known to incorporate BDI architecture for cognitive reasoning. Since this architecture contains all the knowledge of world model and reasoning rule, it is very complex and difficult to handle. This paper describes a methodology to design and implement BDI architecture, BDIAXml based on XML for multi-agent systems. This XML-based BDI architecture is smaller than any other BDI architecture because it separates knowledge for reasoning from domain knowledge and enables knowledge sharing using XML technology. Knowledge for BDI mental state and reasoning is composed of specific XML files and these XML files are stored into a specific knowledge server. Most systems using BDIAxml architecture can access knowledge from this server. We apply this BDIAXml system to domain of Hospital Information System and show that this architecture performs more efficiently than other BDI architecture system in terms of knowledge sharing, system size, and ease of use.

• 기술경영경제학회:학술대회논문집
• /
• 기술경영경제학회 1999년도 제16회 동계학술발표회 논문집
• /
• pp.197-215
• /
• 1999

With the advent of knowledge-based economy and information society, information and telecommunications(IT) industry is reckoned as the crucial sector for the creation and diffusion of technological knowledge. In this study, we analyze the process of 'industrialization of IT'and 'informatization of industries' based on the technology linkage structure, or technological knowledge network. The former is defined as the process whereby IT industry absorbs technological knowledge from other industries to grow as an independent industrial sector. The latter is defined as the process whereby other industries adopt IT technology to enhance productivity and upgrade industrial structure, We employ the R&D stock as a proxy for technological knowledge of respective industries and measure the flow of technological knowledge between industries in terms of I/O relationship. By applying the network analysis, we examine the changing pattern of technology linkage structure of the Korean industry throughout the years from 1983 to 1997. Some policy implications are presented based on the findings from the analysis.

• 한국정밀공학회:학술대회논문집
• /
• 한국정밀공학회 2006년도 춘계학술대회 논문집
• /
• pp.613-614
• /
• 2006

Design data, information, and knowledge have complex associations with each other. Systems related with the management of the data, information, and knowledge are various, and the representations are numerous. Therefore it is difficult to construct a knowledge based design system with a full association knowledge for supporting the design tasks. In this research, OWL based ontology model for an excavator design is developed for the representation of the relationships. Also an ontology model is used to develop the knowledge based excavator design system.

• 정보관리학회지
• /
• 제19권1호
• /
• pp.47-69
• /
• 2002

개념기반 정보검색기법은 불리언 검색기법의 문제점을 해소했다고 평가받고 있는 단순 매칭함수 기법이나 P-norm 검색기법보다 높은 성능을 보여주고 있다. 그러나 개념화장에 필수적인 의미망 지식베이스를 구축하는데 시간이 너무 오래 걸리는 단점이 있다. 본 연구에서는 이러한 문제를 해결하기 위해 주제범주별로 지식베이스를 분산 구축함으로써 지식베이스 구축에 소요되는 시간을 단축하면서도 검색성능이 떨어지지 않도록 하는 방안을 모색하고자 하였다.