Journal article Open Access

Open Knowledge Maps: Creating a Visual Interface to the World's Scientific Knowledge Based on Natural Language Processing

Kraker, Peter; Kittel, Christopher; Enkhbayar, Asura


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{
  "inLanguage": {
    "alternateName": "eng", 
    "@type": "Language", 
    "name": "English"
  }, 
  "description": "<p>The goal of Open Knowledge Maps is to create a visual interface to the world&rsquo;s scientific knowledge. The base for this visual interface consists of so-called knowledge maps, which enable the exploration of existing knowledge and the discovery of new knowledge. Our open source knowledge mapping software applies a mixture of summarization techniques and similarity measures on article metadata, which are iteratively chained together. After processing, the representation is saved in a database for use in a web visualization. In the future, we want to create a space for collective knowledge mapping that brings together individuals and communities involved in exploration and discovery. We want to enable people to guide each other in their discovery by collaboratively annotating and modifying the automatically created maps.<br>\n<br>\nDas Ziel von Open Knowledge Map ist es, ein visuelles Interface zum wissenschaftlichen Wissen der Welt bereitzustellen. Die Basis f&uuml;r die dieses Interface sind sogenannte &ldquo;knowledge maps&rdquo;, zu deutsch Wissenslandkarten. Wissenslandkarten erm&ouml;glichen die Exploration bestehenden Wissens und die Entdeckung neuen Wissens. Unsere Open Source Software wendet f&uuml;r die Erstellung der Wissenslandkarten eine Reihe von Text Mining Verfahren iterativ auf die Metadaten wissenschaftlicher Artikel an. Die daraus resultierende Repr&auml;sentation wird in einer Datenbank f&uuml;r die Anzeige in einer Web-Visualisierung abgespeichert. In Zukunft wollen wir einen Raum f&uuml;r das kollektive Erstellen von Wissenslandkarten schaffen, der die Personen und Communities, welche sich mit der Exploration und Entdeckung wissenschaftlichen Wissens besch&auml;ftigen, zusammenbringt. Wir wollen es den NutzerInnen erm&ouml;glichen, einander in der Literatursuche durch kollaboratives Annotieren und Modifizieren von automatisch erstellten<br>\nWissenslandkarten zu unterst&uuml;tzen.</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "Know-Center Graz", 
      "@id": "https://orcid.org/0000-0002-5238-4195", 
      "@type": "Person", 
      "name": "Kraker, Peter"
    }, 
    {
      "affiliation": "University of Graz", 
      "@id": "https://orcid.org/0000-0002-1894-5040", 
      "@type": "Person", 
      "name": "Kittel, Christopher"
    }, 
    {
      "affiliation": "University of Vienna", 
      "@id": "https://orcid.org/0000-0002-3934-026X", 
      "@type": "Person", 
      "name": "Enkhbayar, Asura"
    }
  ], 
  "headline": "Open Knowledge Maps: Creating a Visual Interface to the World's Scientific Knowledge Based on Natural Language Processing", 
  "image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg", 
  "datePublished": "2016-11-11", 
  "url": "https://zenodo.org/record/4705327", 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.4705327", 
  "@id": "https://doi.org/10.5281/zenodo.4705327", 
  "@type": "ScholarlyArticle", 
  "name": "Open Knowledge Maps: Creating a Visual Interface to the World's Scientific Knowledge Based on Natural Language Processing"
}
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