Research and Application of Multi-Source Data Integration Based on Ontology
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- 발행기관
- 보안공학연구지원센터(IJUNESST) 바로가기
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- 간행물
- International Journal of u- and e- Service, Science and Technology 바로가기
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- 통권
- Vol.9 No.9 (2016.09)바로가기
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- 페이지
- pp.75-88
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- 저자
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- 언어
- 영어(ENG)
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- URL
- https://www.earticle.net/Article/A285044
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
- 영어
- In view of existing structure heterogeneous and semantic heterogeneous, a multi-source data integration approach based on ontology is proposed. In this approach, constructed domain ontologies are used to describe data sources, and semantic integration for multi-source data is realized by using an information integration toolkit named KARMA to map multiple datasets to RDF data. By analyzing Food and Agriculture Organization (FAO)’s indicator datasets and World Health Organization (WHO)’s datasets, main concepts are extracted to construct indicator ontology, food security ontology, health ontology and human security ontology. KARMA models are created for mapping FAO datasets and WHO datasets to RDF data. Based on constructed ontology and published RDF data, an application system named Food Security Indicators Management System (FSIMS) is developed to implement food security data query, statistical analysis and comparison functions. FSIMS has positive effects on food security risk management; it also demonstrates the applicability of the proposed semantic integration method, and the validity of constructed domain ontologies and published RDF data.
목차
Abstract
1. Introduction
2. A Semantic Integration Approach Based on Ontologies for Multi-Source Data
2.1. Multiple-Source Data
2.2. Constructing Ontology for Knowledge Sharing
2.3. An Information Integration Toolkit: KARMA
2.4. A Multi-Source Data Integration Approach Based on Ontology
3. Case Study: Integration of Human Security Related Data Sources
3.1. Reuse CIDOC Object-Oriented Conceptual Reference Model (CRM)
3.2. Human Security Ontology Modeling
3.3. Building KARMA Models to Publish RDF Data
4. Application System: Food Security Indicator Management System (FSIMS)
4.1. Architecture of FSIMS
4.2. Functions of FSIMS
5. Conclusions and Future Work
Acknowledgements
References
키워드
a multi-source data integration approach food security ontology multi-source data KARMA Food Security Indicator Management System (FSIMS)저자
간행물 정보
발행기관
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- 발행기관명
- 보안공학연구지원센터(IJUNESST) [Science & Engineering Research Support Center, Republic of Korea(IJUNESST)]
- 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
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- 간행물명
- International Journal of u- and e- Service, Science and Technology
- 간기
- 격월간
- pISSN
- 2005-4246
- 수록기간
- 2008~2016
- 십진분류
- KDC 505 DDC 605
이 권호 내 다른 논문 / International Journal of u- and e- Service, Science and Technology Vol.9 No.9
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