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RDF Knowledge Graph Visualization From a Knowledge Extraction System
October 01, 2015 Β· Declared Dead Β· π SumPre-HSWI@ESWC
"No code URL or promise found in abstract"
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Authors
Fadhela Kerdjoudj, Olivier CurΓ©
arXiv ID
1510.00244
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.CL
Citations
9
Venue
SumPre-HSWI@ESWC
Last Checked
4 months ago
Abstract
In this paper, we present a system to visualize RDF knowledge graphs. These graphs are obtained from a knowledge extraction system designed by GEOLSemantics. This extraction is performed using natural language processing and trigger detection. The user can visualize subgraphs by selecting some ontology features like concepts or individuals. The system is also multilingual, with the use of the annotated ontology in English, French, Arabic and Chinese.
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