Title :
Geological Data Integration and Sharing on the Semantic Level
Author_Institution :
Sch. of Resources & Environ. Eng., Southwest Pet. Univ., Chengdu, China
Abstract :
Having had the Web as our infrastructure for geological information transmission and retrieval, we are confronted with three major problems, which are platform heterogeneity, structure heterogeneity, and particularly semantic heterogeneity. An approach of geological data integration and sharing on the semantic level is proposed here. Ontology views are built through extracting common concepts in heterogeneous data, and based on that, semantic mappings between data sources are created. The solutions to key technologies are also sorted out, including ontology building, semantic mapping and query processing.
Keywords :
geographic information systems; knowledge acquisition; ontologies (artificial intelligence); query processing; semantic Web; geological data integration; geological information retrieval; geological information transmission; heterogeneous data; ontology building; query processing; semantic heterogeneity; semantic level sharing; semantic mapping; structure heterogeneity; OWL; geological data integration and sharing; ontology; semantic layer;
Conference_Titel :
Computational and Information Sciences (ICCIS), 2012 Fourth International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4673-2406-9
DOI :
10.1109/ICCIS.2012.166