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
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