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  "license_title": "License not specified",
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  "maintainer": "Maria-Esther Vidal",
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  "maintainer": "Maria-Esther Vidal",
            
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  "name": "sdmkgc",
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  "name": "sdmkgc",
            
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  "notes": "Demonstration of the SDM Knowledge Graph Creation 
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  "notes": "Demonstration of the SDM Knowledge Graph Creation 
            
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Pipeline",
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Pipeline",
            
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    "created": "2017-11-23T17:30:37.757128",
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    "created": "2017-11-23T17:30:37.757128",
            
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    "description": "The German National Library of Science and 
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    "description": "The German National Library of Science and 
            
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Technology, abbreviated TIB, is the national library of the Federal 
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Technology, abbreviated TIB, is the national library of the Federal 
            
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Republic of Germany for all fields of engineering, technology, and the 
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Republic of Germany for all fields of engineering, technology, and the 
            
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natural sciences.",
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natural sciences.",
            
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on \"Challenges for Efficiently Creating and Maintaining Knowledge 
            
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Graphs\". This tutorial presents Data Integration Systems as the basis 
            
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for the declarative definition of Knowledge Graphs. It also 
            
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illustrates with various languages to specify Knowledge Graphs and 
            
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techniques implemented by the state of the art.\r\nThe tools developed 
            
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by the members of the Scientific Data Management group are composed 
            
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into a pipeline for knowledge graph creation. This pipeline is 
            
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demonstrated in a video (prepared by Akhilesh Vyas  
            
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https://service.tib.eu/ldmservice/dataset/sdmkgc) and exercised with 
            
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hands-on prepared by the members of team (Samaneh Jozashoori, Ahmad 
            
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Sakor, Enrique Iglesias, Philipp Rohde, and Julian Gerke). Lastly, the 
            
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tutorial closes with a discussion of future problems and follow-up 
            
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work. Leibniz Best Minds partially support the reported work: 
            
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Programme for Women Professors project TrustKG-Transforming Data in 
            
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Trustable Insights with grant P99/2020.",
            
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