Research in the field of knowledge representation system is usually focused on methods for providing high-level descriptions of the world that can be effectively used to build intelligent applications. This paper shares the development process of an ontology which involves preparing questionnaires, design decisions, and interviewing key persons. This is an ongoing work resulting in the development of ontology for knowledge management in an enterprise. The final result is a knowledge ontology, coined as Know-Ont, is a collection of concepts and their related properties from maintenance and new product design domain that fit together to process and store knowledge thus making it available for later reuse.
목차
Abstract 1. Introduction 2. Ontologies in Industrial Domain 3. Business Case and Requirement Analysis 3.1. Business Cases 3.2. Analysis of Business Cases 4. Knowledge Ontology: Know-Ont 4.1. Know-Ont Specifications 4.2 A use-case representation of Know-Ont Ontology 4.3 Querying Know-Ont Using SPARQL 5. Conclusion and Future Work References
키워드
Knowledge ManagementOntologySemantic WebAI.
저자
Harshit Kumar [ Computer Science Department, University of Suwon ]
Pil Seong Park [ Computer Science Department, University of Suwon ]
보안공학연구지원센터(IJDTA) [Science & Engineering Research Support Center, Republic of Korea(IJDTA)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Database Theory and Application
간기
격월간
pISSN
2005-4270
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Database Theory and Application vol.3 no.1