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  "author": "Farzaneh Mahdisoltani",
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  "author": "Farzaneh Mahdisoltani",
            
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  "author_email": "fmahdisoltani@gmail.com",
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  "author_email": "fmahdisoltani@gmail.com",
            
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  "creator_user_id": "f7cd6563-f944-40d2-b88a-ec1b2ccfc7d1",
            
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  "doi": "10.57702/g3f0fipm",
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  "doi": "10.57702/g3f0fipm",
            
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  "doi_date_published": "2024-04-18",
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  "doi_date_published": "2024-04-18",
            
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  "doi_publisher": "TIB",
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  "doi_publisher": "TIB",
            
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  "doi_status": true,
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  "domain": "https://service.tib.eu/ldmservice",
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  "domain": "https://service.tib.eu/ldmservice",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Joanna Biega",
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      "extra_author": "Joanna Biega",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Fabian Martin Suchanek",
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      "extra_author": "Fabian Martin Suchanek",
            
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      "orcid": "0000-0001-7189-2796"
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      "orcid": "0000-0001-7189-2796"
            
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    }
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    }
            
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  "license_id": "notspecified",
            
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  "license_title": "License not specified",
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  "license_title": "License not specified",
            
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  "maintainer": "",
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  "maintainer": "",
            
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  "metadata_modified": "2024-04-18T15:35:28.308872",
            
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  "name": "yago3-a-knowledge-base-from-multilingual-wikipedias",
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  "name": "yago3-a-knowledge-base-from-multilingual-wikipedias",
            
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  "notes": "We present YAGO3, an extension of the YAGO knowledge base 
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  "notes": "We present YAGO3, an extension of the YAGO knowledge base 
            
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that combines the information from the Wikipedias in multiple 
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that combines the information from the Wikipedias in multiple 
            
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languages. Our technique fuses the multilingual information with the 
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languages. Our technique fuses the multilingual information with the 
            
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English WordNet to build one coherent knowledge base. We make use of 
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English WordNet to build one coherent knowledge base. We make use of 
            
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the categories, the infoboxes, and Wikidata, and learn the meaning of 
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the categories, the infoboxes, and Wikidata, and learn the meaning of 
            
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infobox attributes across languages. We run our method on 10 different 
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infobox attributes across languages. We run our method on 10 different 
            
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languages, and achieve a precision of 95%-100% in the attribute 
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languages, and achieve a precision of 95%-100% in the attribute 
            
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mapping. Our technique enlarges YAGO by 1m new entities and 7m new 
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mapping. Our technique enlarges YAGO by 1m new entities and 7m new 
            
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facts.",
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facts.",
            
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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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      "display_name": "Benchmark",
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      "display_name": "Benchmark",
            
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  "title": "YAGO3: A Knowledge Base from Multilingual Wikipedias",
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  "title": "YAGO3: A Knowledge Base from Multilingual Wikipedias",
            
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  "type": "dataset",
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  "version": ""
            
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