WO2024213926 - OPTIMIZATION OF KNOWLEDGE GRAPH EMBEDDINGS WITH FACT SEMANTICS
National phase entry is expected:
Publication Number
WO/2024/213926
Publication Date
17.10.2024
International Application No.
PCT/IB2023/056676
International Filing Date
28.06.2023
Title **
[English]
OPTIMIZATION OF KNOWLEDGE GRAPH EMBEDDINGS WITH FACT SEMANTICS
[French]
OPTIMISATION D'INTÉGRATIONS DE GRAPHE DE CONNAISSANCES AVEC SÉMANTIQUE DE FAITS
Applicants **
NEC LABORATORIES EUROPE GMBH
Kurfuersten-Anlage 36
69115 Heidelberg, DE
Inventors
GONG, Na
c/o NEC Laboratories Europe GmbH
Kurfuersten-Anlage 36
69115 Heidelberg, DE
NICOLAS, Sebastien
c/o NEC Laboratories Europe GmbH
Kurfuersten-Anlage 36
69115 Heidelberg, DE
Priority Data
63/458,481
11.04.2023
US
Application details
| Total Number of Claims/PCT | * |
| Number of Independent Claims | * |
| Number of Priorities | * |
| Number of Multi-Dependent Claims | * |
| Number of Drawings | * |
| Pages for Publication | * |
| Number of Pages with Drawings | * |
| Pages of Specification | * |
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International Searching Authority |
EPO
* |
| Applicant's Legal Status |
Legal Entity
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| * | |
| * | |
| * | |
| * | |
| Entry into National Phase under |
Chapter I
* |
| Translation |
|
Recalculate
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Quotation for National Phase entry
| Country | Stages | Total | |
|---|---|---|---|
| China | Filing | 1111 | |
| EPO | Filing, Examination | 4575 | |
| Japan | Filing | 587 | |
| South Korea | Filing | 574 | |
| USA | Filing, Examination | 2710 |
Total: 9557 USD
The term for entry into the National Phase has expired. This quotation is for informational purposes only
Abstract[English]
A method for optimizing knowledge graph embeddings includes receiving textual data from an agent and generating a semantically clear knowledge graph based on resolving ambiguities within triples associated with the textual data. A prediction output is generated based on determining semantic-aware knowledge graph embeddings from the semantically clear knowledge graph. The prediction output is provided to the agent.[French]
Un procédé d'optimisation d'intégrations de graphe de connaissances comprend la réception de données textuelles en provenance d'un agent et la génération d'un graphe de connaissances sémantiquement transparent sur la base de la résolution d'ambiguïtés dans des triplets associés aux données textuelles. Une sortie de prédiction est générée sur la base de la détermination d'intégrations de graphe de connaissances sensibles à la sémantique à partir du graphe de connaissances sémantiquement transparent. La sortie de prédiction est fournie à l'agent.