Research and Application of Multi-Source Data Integration Based on Ontology

Hongyan Yun, Jianliang Xu, Craig A. Knoblock, Ruibo Xu
2016 International Journal of u- and e- Service, Science and Technology  
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 multisource 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
more » ... on (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. Abstract Level Ontology Information RDF data Information Distribute Request Response to Request
doi:10.14257/ijunesst.2016.9.9.09 fatcat:kqiwlni6grfszfu7we7mqus7ta