• 제목/요약/키워드: knowledge management-based structure

검색결과 276건 처리시간 0.02초

추상화 정보 데이터베이스 기반 협력적 질의 응답 (Cooperative Query Answering Based on Abstraction Database)

  • 허순영;이정환
    • 한국경영과학회지
    • /
    • 제24권1호
    • /
    • pp.99-117
    • /
    • 1999
  • Since query language is used as a handy tool to obtain information from a database, a more intelligent query answering system is needed to provide user-friendly and fault-tolerant human-machine Interface. Frequently, database users prefer less rigid querying structure, one which allows for vagueness in composing queries, and want the system to understand the intent behind a query. When there is no matching data available, users would rather receive approximate answers than a null information response. This paper presents a knowledge abstraction database that facilitates the development of such a fault-tolerant and intelligent database system. The proposed knowledge abstraction database adepts a multilevel knowledge representation scheme called the knowledge abstraction hierarchy(KAH), extracts semantic data relationships from the underlying database, and provides query transformation mechanisms using query generalization and specialization steps. In cooperation with the underlying database, the knowledge abstraction database accepts vague queries and allows users to pose approximate queries as well as conceptually abstract queries. Specifically. four types of vague queries are discussed, including approximate selection, approximate join, conceptual selection, and conceptual Join. A prototype system has been implemented at KAIST and is being tested with a personnel database system to demonstrate the usefulness and practicality of the knowledge abstraction database in ordinary database application systems.

  • PDF

사용자 질의 의미 해석을 위한 온톨로지 지식 기반 검색 (Ontology Knowledge based Information Retrieval for User Query Interpretation)

  • 김난주;표혜진;정훈;최의인
    • 디지털융복합연구
    • /
    • 제12권6호
    • /
    • pp.245-252
    • /
    • 2014
  • 시맨틱 검색은 논리적으로 표현된 지식 베이스를 사용하여 현재의 키워드 기반 검색보다 더 정확한 결과를 제공할 수 있다. 그러나 일반 사용자는 지식 기반의 복잡하고 정형화된 질의어와 스키마를 잘 알지 못한다. 그래서 검색 시스템은 사용자 키워드의 의미를 해석할 수 있어야 한다. 본 논문에서는 멀티미디어 콘텐츠의 시맨틱 검색을 위한 사용자 질의 의미 해석 시스템을 설명한다. 제안한 시스템은 도메인 온톨로지 기반으로 구축된 지식 베이스의 정형화된 구조에 의미 해석 과정이 통합된 온톨로지 지식 베이스 기반 검색 시스템이다.

사례의 수정최소화 기법에 의한 소프트웨어 프로젝트 네트워크 생성시스템 (Case-based Software Project Network Generation by the Least Modification Principle)

  • 이노복;이재규
    • Asia pacific journal of information systems
    • /
    • 제13권1호
    • /
    • pp.103-118
    • /
    • 2003
  • Software project planning is usually represented by a project activity network that is composed of stages of tasks to be done and precedence restrictions among them. The project network is very complex and its construction requires a vast amount of field knowledge and experience. So this study proposes a case-based reasoning approach that can generate the project network automatically based on the past cases and modification knowledge. For the case indexing, we have adopted 17 factors, each with a few alternative values. A special structure of this problem is that the modification effort can be identified by each factor independently. Thus it is manageable to identify 85 primitive modification actions(add and delete activities) and estimate its modification efforts in advance. A specific case requires a combination of primitive modifications. Based on the modification effort knowledge, we have adopted the Least Modification approach as a metric of similarity between a new project and past cases. Using the Least Modification approach and modification knowledge base, we can automatically generate the project network. To validate the performance of Least Modification approach, we have compared its performance with an ordinary minimal distance approach for 21 test cases. The experiment showed that the Least Modification approach could reduce the modification effort significantly.

Knowledge-driven Dynamic Capability and Organizational Alignment: A Revelatory Historical Case

  • Kim, Gyeung-Min
    • Asia pacific journal of information systems
    • /
    • 제20권1호
    • /
    • pp.33-56
    • /
    • 2010
  • The current business environment has been characterized as less munificent, highly uncertain and constantly evolving. In this environment, the company with dynamic capability is reported to be more successful than others in building competitive advantage. Dynamic capability focuses on the link between a dynamically changing environment, strategic agility, architectural reconfiguration, and value creation. Being characterized to be flexible and adaptive to market circumstance changes, an organization with dynamic capability is described to have high resource fluidity, which represents business process, resource allocation, human resource management and incentives that make business transformation faster and easier. Successful redeployment of the resources for dynamic adaptation requires organizational forms and reward systems to be well aligned with firm's technological infrastructures and business process. The alignment is considered to be an executive level commitment. Building dynamic capability is knowledge driven; relying on new knowledge to reconfigure firm's resources. Past studies established the link between the effective execution of a knowledge-focused strategy and relevant setting of architectural elements such as human resources, structure, process and information systems. They do not, however, describe in detail the underlying processes by which architectural elements are adjusted in coordinated manners to build knowledge-driven dynamic capability. In fact, understandings of these processes are one of the top issues in IT management. This study analyzed how a Korean corporation with a knowledge-focused strategy aligned its architectural elements to develop the dynamic capability and thus create value in the dynamically changing markets. When the Korean economy was in crisis, the company implemented a knowledge-focused strategy, restructured the organization's architecture by which human and knowledge resources are identified, structured, integrated and coordinated to identify and seize market opportunity. Specifically, the following architectural elements were reconfigured: human resource, decision rights, reward and evaluation systems, process, and IT infrastructure. As indicated by sales growth, the reconfiguration helped the company create value under an extremely turbulent environment. According to Ancona et al. (2001), depending on the types of lenses the organization uses, different types of architecture will emerge. For example, if an organization uses political lenses focusing on power, influence, and conflict. the architecture that leverage power and negotiate across multiple interest groups would emerge. Similarly, if an organization uses economic lenses focusing on the rational behavior of organizational actors making choices based on the costs and benefits of action, organizational architecture should be designed to motivate and provide incentives for the actors (Smith, 2001). Compared to this view, information processing perspectives consider architecture to be designed to maximize the capacity of information processing by the actors. Using knowledge lenses, the company studied in this research established architectural elements in a manner that allows the firm to effectively structure knowledge resources to form dynamic capability. This study is revelatory single case with a historic perspective. As a result of this study, a set of propositions and a framework are derived, which can be used for architectural alignment.

Correlation among Measures of Technological Knowledge

  • Park, Yong-Tae;Park, Gwang-Man;Kim, Moon-Soo
    • 기술혁신연구
    • /
    • 제9권2호
    • /
    • pp.17-33
    • /
    • 2001
  • In the knowledge-based economy, technological knowledge (TK) is reckoned key subject of knowledge management. Despite growing recognition, it has long been considered an intractable task to develop precise measures of TK and, as a remedy, a number of R&D-related proxy indicators have been employed. Although voluminous previous research has examined the structure and process of technological innovation by using proxy indicators, the inquiry into the relationship among respective indicators has remained unexplored. In this research, we take three most frequent proxy indicators of TK, R&D human resources, R&D stock, and patents, and investigate the correlation among respective measures. In addition, the dynamic pattern of time lag between technological input and output is also analyzed.

  • PDF

A Study on Efficient Data De-Identification Method for Blockchain DID

  • Min, Youn-A
    • International Journal of Internet, Broadcasting and Communication
    • /
    • 제13권2호
    • /
    • pp.60-66
    • /
    • 2021
  • Blockchain is a technology that enables trust-based consensus and verification based on a decentralized network. Distributed ID (DID) is based on a decentralized structure, and users have the right to manage their own ID. Recently, interest in self-sovereign identity authentication is increasing. In this paper, as a method for transparent and safe sovereignty management of data, among data pseudonymization techniques for blockchain use, various methods for data encryption processing are examined. The public key technique (homomorphic encryption) has high flexibility and security because different algorithms are applied to the entire sentence for encryption and decryption. As a result, the computational efficiency decreases. The hash function method (MD5) can maintain flexibility and is higher than the security-related two-way encryption method, but there is a threat of collision. Zero-knowledge proof is based on public key encryption based on a mutual proof method, and complex formulas are applied to processes such as personal identification, key distribution, and digital signature. It requires consensus and verification process, so the operation efficiency is lowered to the level of O (logeN) ~ O(N2). In this paper, data encryption processing for blockchain DID, based on zero-knowledge proof, was proposed and a one-way encryption method considering data use range and frequency of use was proposed. Based on the content presented in the thesis, it is possible to process corrected zero-knowledge proof and to process data efficiently.

대학의 연구 영역 분석을 통한 과학 기술 분야의 지식 구조 매핑에 관한 연구 (Mapping Knowledge Structure of Science and Technology Based on University Research Domain Analysis)

  • 정영미;한지연
    • 정보관리학회지
    • /
    • 제26권2호
    • /
    • pp.195-210
    • /
    • 2009
  • 이 연구에서는 한국의 과학 기술 중심 대학의 연구 영역 분석을 통해 과학 기술 분야의 지식 구조를 파악하고자 하였다. 해당 대학 교수들이 일정 기간 출판한 논문을 수집하여 분석에 이용하였고, 전체 대학과 학과의 두 수준에서 지식 구조를 파악하였다. 분석 기법으로는 논문에서 인용한 학술지의 주제 범주에 대한 동시인용 분석을 통해 주제들의 연관성을 다차원 지도상에 표현하였고, 사회연결망 분석에서 사용하는 중앙성 척도를 사용하여 관련 주제들의 위치를 파악하였다. 분석 결과 다학문적 성격을 띠는 주제와 생물학 관련 주제들이 전체 과학 기술 분야 및 화학과 물리학 영역의 지식 구조에서 중요한 역할을 하는 것으로 파악되었다.

사용자 질의 의미 해석을 위한 선호도 기반 검색 기술 (Preference-based search technology for the user query semantic interpretation)

  • 정훈;이무훈;도하나;최의인
    • 디지털융복합연구
    • /
    • 제11권2호
    • /
    • pp.271-277
    • /
    • 2013
  • 질의 의미 해석에 대한 대표적인 시맨틱 검색은 논리적으로 표현된 지식 베이스를 사용하여 현재의 키워드 기반 검색보다 더 정확한 결과를 제공할 수 있다. 기존의 키워드 기반 검색 시스템은 사용자 키워드의 의미가 상호 연결이 되어 있지 않아서 사용자의 질의 의미 해석을 위한 선호도 검색을 할 수가 없다. 본 논문에서는 사용자의 검색 의도에 부합하는 정확한 검색 결과를 제공할 수 있는 사용자 검색 선호도 기반으로 평가하여 랭킹하는 기법을 제안한다. 제안한 기법은 온톨로지 기반으로 구축된 지식 베이스의 정형화된 구조에 의미 해석 과정이 통합된 온톨로지 지식 베이스 기반 검색 시스템이다.

키워드 네트워크 분석을 활용한 지식은폐 연구동향 분석 (Exploration of Knowledge Hiding Research Trends Using Keyword Network Analysis)

  • 주재홍;송지훈
    • 지식경영연구
    • /
    • 제22권1호
    • /
    • pp.217-242
    • /
    • 2021
  • 본 연구의 목적은 키워드 네트워크 분석을 통해 조직 구성원의 지식은폐에 대한 국내외 연구 동향을 살펴보는 것이다. 조직 구성원이 자신의 지식을 공유하지 않는 것을 넘어 의도적으로 숨기는 등의 구성원의 지식은폐에 대한 연구가 확산됨에 따라 이에 대한 연구가 어떻게 이루어지고 있는지에 대한 논의가 필요하다. 본 연구는 키워드 네트워크 분석을 위해 국내외 지식은폐 관련 게재된 연구 120편을 수집하였으며 이를 통하여 346종 578개의 키워드를 수집하였다. 그리고 본 연구에서 설정한 데이터 표준화 기준에 따라 키워드를 코딩하여 최종적으로 86개 노드와 667개의 링크로 된 네트워크 분석을 실시하였다. 그리고 설정한 연구 목적을 달성하기 위해 국내외 지식은폐 관련 문헌 분석을 통해 개념적 모형을 개발하고 키워드 네트워크 분석을 통해 도출한 네트워크 구조를 비교하여 연구 동향을 심층적으로 분석하였다. 본 연구 결과는 다음과 같다. 첫째, 네트워크 중심성 분석 결과 지식공유, 창의성 그리고 성과 키워드가 연결정도 중심성, 매개 중심성 그리고 근접 중심성 모두 높게 나타났다. 둘째, 지식은폐의 이론적 기제와 관련이 있는 "심리적 주인의식"과 "개인의 정서"에 대한 에고 네트워크를 분석함과 개념적 모형과 비교를 통하여 심층적으로 변수 간 관계를 탐색하였다. 본 연구는 이상과 같이 연구 결과를 바탕으로 학문적 및 실무적 시사점을 제시하였으며, 본 연구의 한계점과 후속 연구에 대한 방향성을 제시하였다.

긍정적 감정에 따른 선언적 지식에 관한 비전형적 연상 과정에 대한 인지모델링 (Cognitive Modeling of Unusual Association with Declarative Knowledge by Positive Affect)

  • 박성진;명노해
    • 대한산업공학회지
    • /
    • 제41권1호
    • /
    • pp.43-49
    • /
    • 2015
  • The aim of this study was to model unusual association with declarative knowledge by positive affect using ACT-R cognitive architecture. Existing research related with cognitive modeling tends to pay a lot of attention to strong and negative cognitive moderator. Mild positive affect, however, has far-reaching effects on problem solving and decision making. Typically, subjects with positive affect were more likely to respond to unusual associates in a word association task than subjects with neutral affect. In this study, a cognitive model using ACT-R cognitive architecture was developed to show the effect of positive affect on the cognitive organization related with memory. First, we organized the memory structure of stimulus word 'palm' based on published results in a word association task. Then, we decreased an ACT-R parameter that reflects the amount of weighting given to the dissimilarity between the stimulus word and the associate word to represent reorganized memory structure of the model by positive affect. As a result, no significant associate probability difference between model prediction and existing empirical data was found. The ACT-R cognitive architecture could be used to model the effect of positive affect on the unusual association by decreasing (manipulating) the weight of the dissimilarity. This study is useful in conducting model-based evaluation of the effects of positive affect in complex tasks involving memory, such as creative problem solving.