Name
Abstract | ||
|---|---|---|
Integration of data across multiple independently developed data sources can be challenging due to a variety of heterogeneities that exist across such systems. Data mediation technologies provide approaches for overcoming these heterogeneities. Standards such as Geoscience Markup Language can address some of the heterogeneity issues by providing schema standards which sources can adhere to. This article addresses the issue of semantic heterogeneity across information resources by using domain ontologies and registering schema elements and data values to such ontologies. Registering data to ontologies provides a powerful search and data integration capability across disparate geoscience information resources. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1080/17538940902912437 | INTERNATIONAL JOURNAL OF DIGITAL EARTH |
Keywords | Field | DocType |
data fusion,data exchange models,geoinformatics,geospatial data integration,spatial data infrastructure | Data integration,Ontology (information science),Data mining,Ontology-based data integration,Computer science,Data mapping,GeoSciML,IDEF1X,Semantic heterogeneity,Spatial data infrastructure | Journal |
Volume | ISSN | Citations |
2 | 1753-8947 | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chaitan Baru | 1 | 102 | 20.59 |
| Kai Lin | 2 | 47 | 6.19 |