Abstract
Map as a Knowledge Base (MapKB), A Free and Open Source Geospatial Semantic Technology System Prototype
Highlights
Challenges to Geospatial knowledge graphs (GKG) development are to capture and represent geographic semantics inherent in the source data through data transformation, design an ontology to enable computation for automated reasoning based on First Order Logic, visualize the data using a cartographic user interface that supports semantic search and other graph data model capabilities, and to integrate data from outside sources primarily through SPARQL Protocol and RDF Query Language (SPARQL) queries
These core components consist of data transformation software, an applied ontology in the form of Web Ontology Language (OWL), a triplestore, a SPARQL endpoint, a reasoner, and a user interface
The GKG draws on diverse data formats, themes, and software, but the main interoperability function is performed through the ontology
Summary
Abstract: Knowledge Graphs are a form of database representation and handling that show the potential to better meet the challenges of data interoperability, semi-automated information reasoning, and information retrieval. Geospatial knowledge graphs (GKG) are specialized forms of semantic technology that provide coherent spatial context to a domain of information.
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