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Building knowledge graphs from technical documents using named entity recognition and edge weight updating neural network with triplet loss for entity ...
Jun 12, 2021 · We propose a large, scalable engineering knowledge graph, comprising sets of (entity, relationship, entity) triples that are real-world engineering facts found ...
Missing: Technology | Show results with:Technology
This paper proposes a knowledge graph-based patent similarity measurement method that simultaneously considers bibliographic information, content semantic ...
Nov 30, 2022 · As an initial step the Patent Knowledge Graph integrates domain-specific knowledge from three areas, namely: plasma technology, additive ...
Interpretable patent recommendation with knowledge graph and deep ...
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Feb 14, 2023 · This paper proposes an interpretable patent recommendation method based on knowledge graph and deep learning.
Duration: 18:24
Posted: Nov 19, 2024
Posted: Nov 19, 2024
Missing: Technology | Show results with:Technology
The graph-based approach makes it easy for humans to understand and control the search results and enables efficient processing of large patent documents.
Jan 16, 2023 · We integrated patent metadata from USPTO into a single knowledge graph called PatNet that comprises 106,882,276 triples that constitute five ...
The invention relates further to a related system for linking a first knowledge graph and a second knowledge graph, and a related computer program product.
Jun 10, 2019 · This paper presents natural language processing techniques to extract terms from massive patent texts and word embedding models to vectorize ...