https://yago-knowledge.org/

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5d65db66-642c-4874-b7d4-accd9258c31bFinalizado
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https://yago-knowledge.org/
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Enlaces: 11 encontrados

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EnlaceTEXTO
https://suchanek.name/work/publications/sigir-2024.pdfpaper
https://github.com/yago-naga/yago-4.5/issuessmall bugs
https://www.ouvrirlascience.fr/prix-science-ouverte-des-donnees-de-la-recherche/French Open Research Award
https://zenodo.org/record/6022140Zenodo
http://suchanek.name/work/publications/eswc-2020-yago.pdfpaper on YAGO 4
https://2020.eswc-conferences.org/ESWC 2020
https://www.mpi-inf.mpg.de/news/press-releases/2018/forscher-des-saarbruecker-max-planck-instituts-von-der-world-wide-web-conference-fuer-pionierarbeit-geehrt/webpage
https://www.mpi-inf.mpg.de/
https://www.telecom-paris.fr/Télécom Paris
https://creativecommons.org/licenses/by/4.0/Creative Commons Attribution 4.0 International License

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        <script type="application/ld+json">{
  "@context": "https://schema.org/",
  "@type": "Dataset",
  "name": "Yago",
  "description": "YAGO is a large knowledge base with general knowledge about people, cities, countries, movies, and organizations.",
  "url": "https://yago-knowledge.org/home",
  "hasPart": [
    {
      "@type": "Dataset",
      "name": "Yago 4.5",
      "description": "YAGO 4.5 is the latest version of the YAGO knowledge base, which is based on Wikidata — the largest public general-purpose knowledge base. YAGO refines the data as follows:\\n* All entity identifiers and property identifiers are human-readable.\\n* The top-level classes come from schema.org — a standard repertoire of classes and properties maintained by Google and others. The lower level classes are a selection of Wikidata classes (larger than for YAGO 4).\\n* The properties come from schema.org.\\n* YAGO 4 contains semantic constraints in the form of SHACL. These constraints keep the data clean, and allow for logical reasoning on YAGO.\\nYAGO contains more than 50 million entities and 90 million facts.",
      "creator": [
        {
          "@type": "Person",
          "name": "Fabian Suchanek",
          "givenName": "Fabian",
          "familyName": "Suchanek"
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      ],
      "license": "https://creativecommons.org/licenses/by-sa/3.0/",
      "version": 4,
      "url": "https://yago-knowledge.org/downloads/yago-4-5",
      "distribution": []
    },
    {
      "@type": "Dataset",
      "name": "Yago 4",
      "description": "YAGO 4 is a version of the YAGO knowledge base that is based on Wikidata — the largest public general-purpose knowledge base. YAGO refines the data as follows:\\n* All entity identifiers and property identifiers are human-readable.\\n* The top-level classes come from schema.org — a standard repertoire of classes and properties maintained by Google and others, combined with bioschemas.org. The lower level classes are a selection of Wikidata classes.\\n* The properties come from schema.org.\\n* YAGO 4 contains semantic constraints in the form of SHACL. These constraints keep the data clean, and allow for logical reasoning on YAGO.\\nYAGO contains more than 50 million entities and 2 billion facts.",
      "creator": [
        {
          "@type": "Person",
          "name": "Thomas Pellissier Tanon",
          "givenName": "Thomas",
          "familyName": "Pellissier Tanon",
          "sameAs": "http://orcid.org/0000-0002-0620-6486"
        },
        {
          "@type": "Person",
          "name": "Gerhard Weikum",
          "givenName": "Gerhard",
          "familyName": "Weikum"
        },
        {
          "@type": "Person",
          "name": "Fabian Suchanek",
          "givenName": "Fabian",
          "familyName": "Suchanek"
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      ],
      "citation": "https://doi.org/10.1007/978-3-030-49461-2_34",
      "license": "https://creativecommons.org/licenses/by-sa/3.0/",
      "version": 4,
      "url": "https://yago-knowledge.org/downloads/yago-4",
      "distribution": []
    },
    {
      "@type": "Dataset",
      "name": "Yago 3",
      "description": " YAGO 3 combines the information from the Wikipedias in multiple languages with WordNet, GeoNames, and other data sources. YAGO 3 taps into multilingual resources of Wikipedia, getting to know more local entities and facts. This version has been extracted from 10 different Wikipedia versions (English, German, French, Dutch, Italian, Spanish, Polish, Romanian, Persian, and Arabic). YAGO 3 is special in several ways:\n* YAGO 3 combines the clean taxonomy of WordNet with the richness of the Wikipedia category system, assigning the entities to more than 350,000 classes.\n* YAGO 3 is anchored in time and space. YAGO attaches a temporal dimension and a spatial dimension to many of its facts and entities.\n* In addition to taxonomy, YAGO has thematic domains such as “music” or “science” from WordNet Domains.\n* YAGO 3 extracts and combines entities and facts from 10 Wikipedias in different languages.\n* YAGO 3 contains canonical representations of entities appearing in different Wikipedia language editions.\n* YAGO 3 integrates all non-English entities into the rich type taxonomy of YAGO.\n* YAGO 3 provides a mapping between non-English infobox attributes and YAGO relations.\nYAGO 3 knows more than 17 million entities (like persons, organizations, cities, etc.) and contains more than 150 million facts about these entities. As with all major releases, the accuracy of YAGO 3 has been manually evaluated, proving a confirmed accuracy of 95%. Every relation is annotated with its confidence value. ",
      "creator": [
        {
          "@type": "Person",
          "name": "Farzaneh Mahdisoltani",
          "givenName": "Farzaneh",
          "familyName": "Mahdisoltani"
        },
        {
          "@type": "Person",
          "name": "Joanna Biega",
          "givenName": "Joanna",
          "familyName": "Biega"
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          "name": "Fabian Suchanek",
          "givenName": "Fabian",
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      "version": 3,
      "url": "https://yago-knowledge.org/downloads/yago-3",
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    {
      "@type": "Dataset",
      "name": "Yago 2s",
      "description": "YAGO 2s is an improved version of YAGO 2, with the following main characteristics:\n* YAGO2s is stored natively in Turtle, making it completely RDF/OWL compliant while still maintaining the fact identifiers that are unique to YAGO.\n* The YAGO2s architecture enables cooperation of several contributors, facilitates debugging and maintenance. The data is divided into themes, so that users can download only particular pieces of YAGO (“YAGO à la carte”).\n* YAGO2s contains thematic domains such as “music” or “science” from WordNet Domains, which gives a topic structure to YAGO.\nAs all major releases, the accuracy of YAGO2s has been manually evaluated, proving an accuracy of 95% with respect to Wikipedia.",
      "creator": [
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          "name": "Joanna Biega",
          "givenName": "Joanna",
          "familyName": "Biega"
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          "name": "Erdal Kuzey",
          "givenName": "Erdal",
          "familyName": "Kuzey"
        },
        {
          "@type": "Person",
          "name": "Fabian Suchanek",
          "givenName": "Fabian",
          "familyName": "Suchanek"
        }
      ],
      "citation": "https://doi.org/10.1145/2487788.2487935",
      "license": "https://creativecommons.org/licenses/by/3.0/",
      "version": 2.5,
      "url": "https://yago-knowledge.org/downloads/yago-2s",
      "distribution": []
    },
    {
      "@type": "Dataset",
      "name": "Yago 2",
      "description": "YAGO 2 is an improved version of the original YAGO knowledge base:\n* YAGO 2 is anchored in time and space. YAGO 2 attaches a temporal dimension and a spacial dimension to many of its facts and entities.\n* YAGO 2 is particularly suited for disambiguation purposes, as it contains a large number of names for entities. It also knows the gender of people.\n* As all major releases, the accuracy of YAGO 2 has been manually evaluated, proving an accuracy of 95% with respect to Wikipedia. Every relation is annotated with its confidence value.",
      "creator": [
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          "name": "Johannes Hoffart",
          "givenName": "Johannes",
          "familyName": "Hoffart"
        },
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          "@type": "Person",
          "name": "Fabian Suchanek",
          "givenName": "Fabian",
          "familyName": "Suchanek"
        },
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          "name": "Klaus Berberich",
          "givenName": "Klaus",
          "familyName": "Berberich"
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          "name": "Gerhard Weikum",
          "givenName": "Gerhard",
          "familyName": "Weikum"
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      "citation": "https://doi.org/10.1016/j.artint.2012.06.001",
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      "url": "https://yago-knowledge.org/downloads/yago-2",
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      "name": "Yago 1",
      "description": "This is the 2008 version of YAGO. It knows more than 2 million entities (like persons, organizations, cities, etc.). It knows 20 million facts about these entities. This version of YAGO includes the data extracted from the categories and infoboxes of Wikipedia, combined with the taxonomy of WordNet. YAGO 1 was manually evaluated, and found to have an accuracy of 95% with respect to the extraction source.",
      "creator": [
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          "name": "Fabian Suchanek",
          "givenName": "Fabian",
          "familyName": "Suchanek"
        },
        {
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          "name": " Gjergji Kasneci",
          "givenName": "Gjergji",
          "familyName": "Kasneci"
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          "name": "Gerhard Weikum",
          "givenName": "Gerhard",
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      "citation": "https://doi.org/10.1145/1242572.1242667",
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}</script>
<h1>YAGO: A High-Quality Knowledge Base</h1>

<p>
    YAGO is a large knowledge base with general knowledge about people, cities, countries, movies, and organizations.
</p>

<a href="/graph/Elvis_Presley" rel="noopener">
    <img src="/assets/images/demo.svg" alt="Demo" class="demo">
</a>

<h2>News</h2>

<div class="news_item">
    <div class="news_time">April, 2024</div>
    <div class="news_text">
        Our <a href="https://suchanek.name/work/publications/sigir-2024.pdf">paper</a> about <a href="https://yago-knowledge.org/downloads/yago-4-5">YAGO 4.5</a> got accepted at SIGIR 2024!
    </div>
</div>


<div class="news_item">
    <div class="news_time">April, 2024</div>
    <div class="news_text">
        We fixed several <a href="https://github.com/yago-naga/yago-4.5/issues">small bugs</a> in <a href="https://yago-knowledge.org/downloads/yago-4-5">YAGO 4.5</a> that were reported by our users.
    </div>
</div>

<div class="news_item">
    <div class="news_time">May, 2023</div>
    <div class="news_text">
        A <a href="https://yago-knowledge.org/downloads/yago-4-5">new version of YAGO, YAGO 4.5</a> is now available, which has a much richer taxonomy!
    </div>
</div>

<div class="news_item">
    <div class="news_time">April, 2023</div>
    <div class="news_text">
        YAGO receives the <a href="https://www.ouvrirlascience.fr/prix-science-ouverte-des-donnees-de-la-recherche/">French Open Research Award</a>!
    </div>
</div>

<div class="news_item">
    <div class="news_time">February, 2023</div>
    <div class="news_text">
        A 2022 revival version of <a href="https://yago-knowledge.org/downloads/yago-3">YAGO 3</a> is now available, with updated data from the French and English Wikipedia!
    </div>
</div>

<div class="news_item">
    <div class="news_time">April, 2022</div>
    <div class="news_text">
        We're building a new version of YAGO! If you have any suggestions, <a href="https://yago-knowledge.org/contributors">contact us</a>!
    </div>
</div>

<div class="news_item">
    <div class="news_time">February, 2022</div>
    <div class="news_text">
        YAGO is now available at <a href="https://zenodo.org/record/6022140">Zenodo</a>!
    </div>
</div>

<div class="news_item">
    <div class="news_time">March, 2020</div>
    <div class="news_text">
        The newest version of YAGO, <a href="downloads/yago-4">YAGO 4</a>, is now released!
    </div>
</div>

<div class="news_item">
    <div class="news_time">February, 2020</div>
    <div class="news_text">
        Our <a href="http://suchanek.name/work/publications/eswc-2020-yago.pdf">paper on YAGO 4</a> got accepted at <a href="https://2020.eswc-conferences.org/">ESWC 2020</a>
    </div>
</div>


<div class="news_item">
    <div class="news_time">May, 2018</div>
    <div class="news_text">
        The original YAGO paper (WWW 2007) has won the Seoul Test of Time Award of The Web Conference 2018 (WWW
        2018).
        For more details check the <a rel="noreferrer noopener" href="https://www.mpi-inf.mpg.de/news/press-releases/2018/forscher-des-saarbruecker-max-planck-instituts-von-der-world-wide-web-conference-fuer-pionierarbeit-geehrt/">webpage</a>.
    </div>
</div>

<div class="news_item">
    <div class="news_time">August 31, 2017</div>
    <div class="news_text">YAGO goes Open Source! Ten years after the first YAGO publication, the YAGO code is now
        available for anyone to
        work with. Get it on GitHub!
    </div>
</div>

<div class="news_item">
    <div class="news_time">August 22, 2017</div>
    <div class="news_text">The YAGO2 paper published in the Artificial Intelligence Journal (AIJ) receives the AIJ
        Prominent Paper Award.
    </div>
</div>

<div class="news_item">
    <div class="news_time">September 15, 2015</div>
    <div class="news_text">An evaluated version of YAGO3 is available for download.</div>
</div>

<div class="news_item">
    <div class="news_time">March 24, 2015</div>
    <div class="news_text">YAGO3 is released for download.</div>
</div>

<div class="news_item">
    <div class="news_time">October 14, 2014</div>
    <div class="news_text">The multilingual YAGO3 was accepted for CIDR 2015.</div>
</div>

<div class="news_item">
    <div class="news_time">March 22, 2013</div>
    <div class="news_text">The demo about the functionalities of YAGO2s got accepted for WWW 2013. See the webpage for
        detailed info!
    </div>
</div>

<div class="news_item">
    <div class="news_time">Dec 3, 2012</div>
    <div class="news_text">New demo paper about YAGO2s at BTW 2013.</div>
</div>

<div class="news_item">
    <div class="news_time">Oct 16, 2012</div>
    <div class="news_text">The new version of YAGO, YAGO2s, is out! YAGO2s brings a number of exciting novelties.</div>
</div>

<div class="news_item">
    <div class="news_time">Mar 23, 2012</div>
    <div class="news_text">Our journal article on YAGO2 got accepted for the special issue of the AI journal.</div>
</div>

    </div>
</div>

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