{
  "patent_number": "US 11868733",
  "country": "US",
  "title": "How Computers Build Knowledge Maps from Text Documents",
  "original_title": "Creating a knowledge graph based on text-based knowledge corpora",
  "summary": "Adobe's patent describes a system that automatically builds a structured map of information, called a knowledge graph, by identifying key concepts (noun-phrases) and their connections within written text, then using this map to modify online platforms.",
  "what_it_does": "This patent describes a method for creating a knowledge graph from a collection of text documents, referred to as a 'text-based knowledge corpus'. First, the system extracts individual sentences from the text. For each sentence, it identifies 'noun-phrases' and determines the relationships between them using both the sentence's grammatical structure ('dependency paths') and a 'relation classifier' (Claim 1). This classifier can predict connections between any pair of noun-phrases, not just pre-defined 'named entities' (Abstract). Based on these noun-phrases and their relations, a small 'sub-graph' is created for each sentence. Finally, all these sub-graphs are merged together to form a complete knowledge graph for the entire text collection (Claim 1). For example, if a sentence says 'Adobe developed Photoshop', the system would identify 'Adobe' and 'Photoshop' as noun-phrases, determine the 'developed' relation between them, and add this to the graph. The resulting knowledge graph can then be used to identify specific entities or relations for modifying an online platform (Claim 1).",
  "what_it_does_not_cover": [
    "Does not cover methods that use other types of phrases (like verb phrases or adjective phrases) to build the graph, as it specifically claims using 'noun-phrases in the sentence without using other types of phrases in the sentence' (Claim 1).",
    "Does not cover determining relations solely based on statistical co-occurrence without considering 'dependency paths of the sentence' or relations 'predicted by a relation classifier' (Claim 1).",
    "Does not cover knowledge graphs where entities are restricted to a predefined set of named entities, as the relation classifier is 'configured to predict a relation between a pair of entities without restricting the entities to a set of named entities' (Abstract).",
    "Does not cover systems that don't merge sentence-level sub-graphs to form the final knowledge graph (Claim 1).",
    "Does not cover systems that don't transmit identified entities or relations to an 'online platform' for 'modifying the online platform' (Claim 1)."
  ],
  "filed": "2022-11-17",
  "granted": "2024-01-09",
  "expires": "2042-11-17",
  "status": "active",
  "holder": "Adobe",
  "holder_url": "https://patentbrief.org/company/adobe",
  "inventors": [
    {
      "name": "Somak Aditya",
      "url": "https://patentbrief.org/inventor/somak-aditya"
    },
    {
      "name": "Atanu Sinha",
      "url": "https://patentbrief.org/inventor/atanu-sinha"
    }
  ],
  "times_cited": 1,
  "tags": [
    "software",
    "ai_ml",
    "telecommunications",
    "consumer_electronics",
    "ecommerce"
  ],
  "abstract": "In some embodiments, a knowledge graph generation system extracts noun-phrases from sentences of a knowledge corpora and determines the relations between the noun-phrases based on a relation classifier that is configured to predict a relation between a pair of entities without restricting the entities to a set of named entities. The knowledge graph generation system further generates a sub-graph for each of the sentences based on the noun-phrases and the determined relations. Nodes or entities of the sub-graph represent the non-phrases in the sentence and edges represent the relations between the noun-phrases connected by the respective edges. The knowledge graph generation system merges the sub-graphs to generate the knowledge graph for the knowledge corpora.",
  "url": "https://patentbrief.org/patent/us/11868733/creating-a-knowledge-graph-based-on-text-based-knowledge-corpora",
  "markdown_url": "https://patentbrief.org/patent/us/11868733/creating-a-knowledge-graph-based-on-text-based-knowledge-corpora/md",
  "google_patents_url": "https://patents.google.com/patent/US11868733",
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      "countryCode": "US",
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}