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Enhancing Patent Retrieval using Text and Knowledge Graph Embeddings: A Technical Note
We obtain citation and inventor embeddings through TransE that is trained using the corresponding knowledge graphs.
Embedding Knowledge Graph of Patent Metadata to Measure Knowledge Proximity
Knowledge proximity refers to the strength of association between any two entities in a structural form that embodies certain aspects of a knowledge base.
Natural Language Processing in-and-for Design Research
We review the scholarly contributions that utilise Natural Language Processing (NLP) techniques to support the design process.
Engineering Knowledge Graph from Patent Database
We propose a large, scalable engineering knowledge graph, comprising sets of (entity, relationship, entity) triples that are real-world engineering facts found in the patent database.
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