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  "name": "gtfs-madrid-bench",
            
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  "notes": "A benchmark to evaluate declarative KG construction 
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  "notes": "A benchmark to evaluate declarative KG construction 
            
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engines that can be used to provide access mechanisms to (virtual) 
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engines that can be used to provide access mechanisms to (virtual) 
            
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knowledge graphs. Our proposal introduces several scenarios that aim 
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knowledge graphs. Our proposal introduces several scenarios that aim 
            
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at measuring performance and scalability as well as the query 
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at measuring performance and scalability as well as the query 
            
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capabilities of all these kinds of engines, considering their 
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capabilities of all these kinds of engines, considering their 
            
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heterogeneity. The data sources used in our benchmark are derived from 
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heterogeneity. The data sources used in our benchmark are derived from 
            
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the GTFS data files of the subway network of Madrid. They can be 
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the GTFS data files of the subway network of Madrid. They can be 
            
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scaled up into several formats (CSV, JSON, SQL, and XML). The query 
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scaled up into several formats (CSV, JSON, SQL, and XML). The query 
            
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set addresses a representative number of SPARQL 1.1 features while 
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set addresses a representative number of SPARQL 1.1 features while 
            
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covering the usual queries in which data consumers may be 
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covering the usual queries in which data consumers may be 
            
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interested.",
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