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 # JenTab
 Matching Tabular Data to Knowledge Graphs
 
-* Target Knowledge Graph (KG) is **Wikidata**
+* Target Knowledge Graphs (KGs) are **Wikidata** & **DBpedia**
 * Participant at [SemTab 2021: Semantic Web Challenge on Tabular Data to Knowledge Graph Matching](https://www.cs.ox.ac.uk/isg/challenges/sem-tab/2021/index.html)
 * Solves the Semantic Table Annotation (STA) tasks
     * Cell Entity Annotation (CEA)
@@ -19,7 +19,7 @@ The image above shows the distributed architecture of JenTab. Here you are a bri
     * pre-processing services (Clean Cells, Type Prediction )
     * Approach 
     * Manager 
-* **Generic Strategy**: pre-computed service, our primary solution handling miss-spellings. 
+* **Generic Lookup**: pre-computed service, our primary solution handling miss-spellings. 
 * **Solver**: Encapsulates our pipeline in terms of several calls across the dependent services.  
 * **Wikidata_Proxy** encapsulates the lookup up and SPARQL query endpoint for DBpedia
 * **DBpedia_Proxy** encapsulates the lookup up and SPARQL query endpoint for Wikidata