Enhancing Geometric Ontology Embeddings for $\mathcalE\mathcalL^++$ with Negative Sampling and Deductive Closure Filtering

{
  "@context": {
    "schema": "https://schema.org/",
    "foaf": "http://xmlns.com/foaf/0.1/",
    "prov": "http://www.w3.org/ns/prov#",
    "dct": "http://purl.org/dc/terms/",
    "borg": "https://borg.kaust.edu.sa/kg/ns/",
    "borg-id": "https://borg.kaust.edu.sa/kg/",
    "owl": "http://www.w3.org/2002/07/owl#"
  },
  "@id": "https://leechuck.de/kg-browser/id/pub/Mashkova2024",
  "@type": "schema:ScholarlyArticle",
  "owl:sameAs": {
    "@id": "https://borg.kaust.edu.sa/kg/pub/Mashkova2024"
  },
  "borg:fromProject": [],
  "borg:acknowledges": [],
  "schema:name": "Enhancing Geometric Ontology Embeddings for $\\mathcalE\\mathcalL^++$ with Negative Sampling and Deductive Closure Filtering",
  "schema:datePublished": 2024,
  "borg:venue": "Neural-Symbolic Learning and Reasoning",
  "schema:identifier": "10.1007/978-3-031-71167-1_18",
  "schema:url": "https://doi.org/10.1007/978-3-031-71167-1_18",
  "borg:bibKey": "Mashkova2024",
  "borg:bibType": "inbook",
  "borg:authorRaw": [
    "Mashkova, Olga",
    "Zhapa-Camacho, Fernando",
    "Hoehndorf, Robert"
  ],
  "schema:author": [
    {
      "@id": "https://leechuck.de/kg-browser/id/person/robert-hoehndorf"
    }
  ],
  "borg:keyword": [
    "EL++",
    "geometric ontology embedding",
    "negative sampling",
    "deductive closure",
    "description logic"
  ],
  "borg:tagRationale": "Geometric embeddings for EL++ are the core neuro-symbolic line. Not Applied Ontology.",
  "borg:topic": [
    {
      "@id": "https://leechuck.de/kg-browser/id/topic/neuro-symbolic-ai"
    }
  ],
  "schema:sameAs": "https://doi.org/10.1007/978-3-031-71167-1_18"
}

Machine-readable copy: data.jsonld. Full dataset: kg.jsonld.