遇见数据集

DBpedia Temporal Graph

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NIAID Data Ecosystem2026-05-02 收录
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The DBpedia Temporal Knowledge Graph (DBpedia-TKG) is an extension of the DBpedia framework that incorporates temporal dynamics, capturing the evolution of knowledge from Wikipedia over time. It provides a rich temporal dataset with around 1.7 billion triples and 270 million distinct start and end timestamps for their lifespan, derived from Wikipedia's meta-history dumps. The dataset includes detailed configurations, such as temporal filters and DBpedia ontology versions, enabling flexible extractions tailored to specific use cases. With its temporal annotations, DBpedia-TKG supports advanced applications in temporal reasoning, predictive modeling, and performance benchmarking. It is a valuable resource for researchers and developers interested in dynamic knowledge representation and temporal graph analytics. The dataset is openly available under the CC BY-SA 4.0 license. main file dbpedia-tkg_r=all_v=2024-06-01.csv.bz2 | head | rel | tail | tStart | tEnd | rStart | rEnd | |-------------|---------------------|----------------------|---------------------|---------------------|-----------|------------| | dbo:Leipzig | dbo:populationTotal | 510043^ | 2019-08-13 12:02:50 | 2019-10-28 19:35:51 | 910634389 | 923471647 | | dbo:Leipzig | dbo:populationTotal | 605407^ | 2019-10-28 19:35:51 | 2021-04-11 18:51:06 | 923471647 | 1017254250 | | | | | | | | |

创建时间:
2024-12-20
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