• Title/Summary/Keyword: Information processing knowledge

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Extracting Database Knowledge from Query Trees

  • Yoon, Jongpil
    • Journal of Electrical Engineering and information Science
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    • v.1 no.2
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    • pp.145-156
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    • 1996
  • Although knowledge discovery is increasingly important in databases, the discovered knowledge sets may not be effectively used for application domains. It is partly because knowledge discovery does not take user's interests into account, and too many knowledge sets are discovered to handle efficiently. We believe that user's interests are conveyed by a query and if a nested query is concerned it may include a user's thought process. This paper describes a novel concept for discovering knowledge sets based on query processing. Knowledge discovery process is performed by: extracting features from databases, spanning features to generate range features, and constituting a knowledge set. The contributions of this paper include the following: (1) not only simple queries but also nested queries are considered to discover knowledge sets regarding user's interests and user's thought process, (2) not only positive examples (answer to a query) but also negative examples are considered to discover knowledge sets regarding database abstraction and database exceptions, and (3) finally, the discovered knowledge sets are quantified.

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

  • Kim, Gyeung-Min
    • Asia pacific journal of information systems
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    • v.20 no.1
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    • pp.33-56
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    • 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.

A study on the Extraction of Similar Information using Knowledge Base Embedding for Battlefield Awareness

  • Kim, Sang-Min;Jin, So-Yeon;Lee, Woo-Sin
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.11
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    • pp.33-40
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    • 2021
  • Due to advanced complex strategies, the complexity of information that a commander must analyze is increasing. An intelligent service that can analyze battlefield is needed for the commander's timely judgment. This service consists of extracting knowledge from battlefield information, building a knowledge base, and analyzing the battlefield information from the knowledge base. This paper extract information similar to an input query by embedding the knowledge base built in the 2nd step. The transformation model is needed to generate the embedded knowledge base and uses the random-walk algorithm. The transformed information is embedding using Word2Vec, and Similar information is extracted through cosine similarity. In this paper, 980 sentences are generated from the open knowledge base and embedded as a 100-dimensional vector and it was confirmed that similar entities were extracted through cosine similarity.

Semi-Automated Image Processing System for Medical Images (의료영상 반자동화 영상처리 시스템)

  • 최우영;서명환;유돈식;윤재훈
    • Proceedings of the IEEK Conference
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    • 2003.11a
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    • pp.225-228
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    • 2003
  • The purpose of this paper is to develop a semi -automated system for medical image processing with which tissues or organs from medical images can be segmented and classified by people who have basic knowledge of image processing. In addition, the proposed medical image processing system is independent on types of human tissues or images. In this paper, a new semi-automated image processing system with essential image processing functions for medical images is introduced

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A Rule Generation Technique Utilizing a Parallel Expansion Method (병렬확장을 활용한 규칙생성 기법)

  • Lee, Kee-Cheol;Kim, Jin-Bong
    • The Transactions of the Korea Information Processing Society
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    • v.5 no.4
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    • pp.942-950
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    • 1998
  • Extraction of knowledge, especially in the form of rules, from raw data is very important in data mining, the aim of which is to help users who feel the lack of knowledge in spite of the abundance of data. Logic minimization tools are ones which derive optimized knowledge given ON set and DC set. First, the parallel expansion scheme of logic minimization is extracted and used to obtain intial knowledge to get final rules, which are successfully applicable to real world data. The prototype system based on this new approach has been experimented with real world data to show that it is as practical as conventional long studied decision tree methods like C4.5 system.

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Design of Ontology Object Model Generation System (온톨로지 객체 모델 생성 시스템 설계)

  • Park, Cheon-Shu;Lee, Mi-Kyoung;Sohn, Joo-Chan;Ham, Ho-Sang
    • Proceedings of the Korea Information Processing Society Conference
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    • 2003.11b
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    • pp.1297-1300
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    • 2003
  • 본 논문은 웹 온톨로지 데이터를 접근, 표현 및 처리 할 수 있는 온톨로지 객체 모델을 생성하기 위한 시스템이다. 시멘틱 웹의 대두로 인해 웹 상에 존재하는 데이터의 특성에 따라서 접근 할수 있는 방법도 다양화 되었다. 이에 웹 상에서 산재되어 있는 지식들을 가져와 각 도메인에 맞게 새로운 온톨로지를 생성하고 서로 다른 언어로 표현된 온톨로지를 계층 어휘들을 이용하여 시멘틱웹 환경에서 지식을 처리하기 위해 웹 온톨로지를 구축하고 처리할 수 있는 온톨로지 객체 모델을 제공하고, 온톨로지 객체 모델 API를 통해 외부 어플리케이션과의 정보를 교환한다. 본 논문에서는 웹 온톨로지를 표현하기 위한 모델을 계층별로 구별하여 프레임 기반의 상위 온톨로지(frame-based ontology layer), 다른 도메인에서도 사용이 가능한 공통된 어휘(vocabulary)를 표현한 핵심 온톨로지(generic ontology layer)와 각각의 온톨로지 언어에 의존적인 어휘를 표현한 기능 온톨로지(functional ontology layer)로 구성하여 표현의 중복을 없애고 재 사용성을 높이기 위한 모델을 제공함으로써, 온톨로지 추론, 병합 및 저작 도구 등의 외부 어플리케이션이 온톨로지 객체 모델에 손쉽게 접근할수 있고, 온톨로지에 대한 쉬운 지식 표현 및 핸들링을 제공할 수 있다.

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Bottom-Up Practice of Knowledge Management (상향식 지식경영의 실천)

  • Kim, Du-Sup;J.Bae, Jae-Hak
    • Proceedings of the Korea Information Processing Society Conference
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    • 2002.11c
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    • pp.2443-2446
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    • 2002
  • 본 논문에서는 지식경영의 상향식 실천방안과 그 사례연구를 제시한다. 기존의 H사 지식경영의 방식을 전사적 차원의 접근방식이라면, 본 논문에서는 실무자중심에서 상향식으로 지식경영을 실천해 가는 방법론을 제공한다. 구체적으로는, H사 정보통신운영부의 통합배선과 업무에 지식경영을 적용하여 현실적인 부서 지식경영 방침을 수려하였다. 이로써 발전된 전사적 지식경영시스템에 대한 향후 과제도출과 이해를 도모하였다.

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A Study on Knowledge of the developmental direction of Defense quality system certification program (국방 품질경영시스템의 발전방안)

  • Jeong, Ku-Kap;Lee, Ha-Yong;Yang, Hae-Sool
    • Proceedings of the Korea Information Processing Society Conference
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    • 2007.05a
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    • pp.256-258
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    • 2007
  • 본 연구는 모든 군수업체가 국방품질경영시스템 인증을 획득하여 군수품의 품질신뢰성을 확보하고 품질보증체제로 정착할 수 있도록 발전방안을 도출시키기 위하여 군수품의 품질보증절차와 품질특성을 분석하고, ISO 인증시스템과 국방품질경영시스템 인증시스템의 운영실태 파악하고 현상분석을 하여 그 대책을 도출하여 발전방안을 제시하였다.

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Constraint Satisfaction and Uncertain Knowledge (제약 조건 만족과 불확실한 지식의 처리)

  • Shin, Yang-Kyu
    • Journal of the Korean Data and Information Science Society
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    • v.6 no.2
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    • pp.17-27
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    • 1995
  • We propose a framework for representing and processing uncertain knowledge on the basis of constraint satisfaction. A system of equations and/or inequalities can be considered as a set of constraints that should be solved, and each constraint in the set is transformed into a corresponding logical formula which can be solved through a constraint solving program. Most of rule-based systems, for instance, use a simple probabilistic theory in order to maintain uncertain knowledge, therefore uncertain knowledge can be represented and processed in the constraint satisfaction program quite efficiently.

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