{
  "patent_number": "US 20240144032",
  "country": "US",
  "title": "How to Combine Information from Multiple Knowledge Graphs",
  "original_title": "Knowledge graph data fusion",
  "summary": "This patent describes a method for merging information from two or more existing knowledge graphs into a single, unified knowledge graph, using special rules called \"graph operators.\"",
  "what_it_does": "The patent outlines a method for combining information from different knowledge graphs. First, it obtains a \"target entity field\" (like \"person\" or \"product\") and a \"target relationship description\" (like \"works for\" or \"buys\") from the \"ontology definition data\" of two or more existing knowledge graphs (Claim 1). Then, it determines \"graph operators\" which are specific rules for combining these fields and relationships (Claim 1). It gathers \"data instances\" (actual data, like \"John Doe\" or \"iPhone\") corresponding to these fields and relationships from the original graphs (Claim 1). Finally, it uses the graph operators to process these data instances and create a \"fused knowledge graph\" (Claim 1). For example, if one graph has \"customer\" and another has \"user,\" a graph operator could fuse them into a single \"customer/user\" entity, standardizing how their attributes are expressed (Claim 5).",
  "what_it_does_not_cover": [
    "Does not cover fusing data that is not structured as a knowledge graph with defined entities and relationships.",
    "Does not cover data fusion methods that do not use specific \"graph operators\" to process data instances.",
    "Does not cover combining knowledge graphs without first selecting target entity fields and relationship descriptions from their ontology definitions.",
    "Does not cover simple data aggregation without creating a new, fused knowledge graph structure.",
    "Does not cover fusion where the operators are not determined either by user input or automatic generation (Claim 3)."
  ],
  "filed": "2023-12-20",
  "granted": null,
  "expires": "2043-12-20",
  "status": "active",
  "holder": "Alipay Hangzhou Information Technology Co",
  "holder_url": "https://patentbrief.org/company/alipay-hangzhou-information-technology-co",
  "inventors": [
    {
      "name": "Lei Liang",
      "url": "https://patentbrief.org/inventor/lei-liang"
    }
  ],
  "times_cited": 4,
  "tags": [
    "software",
    "telecommunications",
    "ecommerce",
    "ai_ml",
    "finance"
  ],
  "abstract": "Implementations of the specification provide a knowledge graph data fusion method and system, and the method includes: obtaining a target entity field and a target relationship description, the target entity field and the target relationship description being selected from ontology definition data of two or more knowledge graphs; and then, obtaining data instances of related platforms or technology fields, and processing the obtained data instances based on a graph operator that is in ontology definition data of a fused knowledge graph and that is used to perform fusion processing on entity fields and relationship descriptions of different platforms or technology fields, to generate the fused knowledge graph.",
  "url": "https://patentbrief.org/patent/us/20240144032/knowledge-graph-data-fusion",
  "markdown_url": "https://patentbrief.org/patent/us/20240144032/knowledge-graph-data-fusion/md",
  "google_patents_url": "https://patents.google.com/patent/US20240144032",
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}