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Semantic Components are tools that allow for harnessing the potential of combining Semantic Web and graph databases like AllegroGraph with spatial data (GIS - Geographic Information System). These components extend the well-established GIS platform GeoMedia Professional, developed by Hexagon Geospatial, and are delivered alongside it.
By combining the capabilities of GeoMedia, AllegroGraph graph databases, and proprietary functionality developed by the Institute, a rich set of tools is created. These tools enable the processing, management, and visualization of spatial and graph data. They also provide a variety of tools for importing, exporting, linking, and processing Linked Data.
With Semantic Components, users can seamlessly work with spatial data and graph data, taking advantage of the power of Semantic Web technologies and graph databases. The integration of these technologies offers new possibilities for data analysis, visualization, and data management, empowering organizations to make more informed decisions based on their spatial and graph data.
Key features of Semantic Components include:
1. Easily Create Linked Data: Semantic Components enable users to effortlessly create Linked Data directly from spatial data, transforming them into RDF documents.
2. Support for URI Identifiers: The components support the use of unique URI identifiers, which are a standard for unambiguously identifying resources.
3. Import from AllegroGraph: Users can import data from AllegroGraph databases directly into GeoMedia, facilitating seamless integration between the two.
4. RDF File Import: Data from RDF files can be imported into the system, allowing for integration and analysis of external RDF datasets.
5. Advanced SPARQL Query Support: The components provide a user-friendly graphical interface for executing complex SPARQL queries.
6. Integration of SPARQL Queries and Spatial Analysis: Users can combine SPARQL queries with spatial analysis capabilities offered by GIS tools, enhancing the scope of data analysis.
7. Visualization of Spatial Data in Graph Databases: The components allow for the visualization of spatial data stored in graph databases, providing meaningful insights and analysis.
8. Save Analysis Results: Users have the option to save the results of their analyses back into graph databases or RDF files, ensuring data persistence and reusability.
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