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Found 7 papers, 1 papers with code
The Innovation Paradox: Concept Space Expansion with Diminishing Originality and the Promise of Creative AI
Innovation, typically spurred by reusing, recombining, and synthesizing existing concepts, is expected to result in an exponential growth of the concept space over time.
Design Representation as Semantic Networks
Here, we propose a methodology that utilizes a pre-trained large-scale cross-domain design knowledge base to automatically generate design representation as a semantic network, i. e., a network of the entities and relations, based on design descriptions in texts or natural languages.
Guiding Data-Driven Design Ideation by Knowledge Distance
In turn, knowledge distance guides the network-based exploration and retrieval of inspirational stimuli for inferences across near and far fields to generate new design ideas by analogy and combination.
Patent Data for Engineering Design: A Critical Review and Future Directions
Patent data have long been used for engineering design research because of its large and expanding size, and widely varying massive amount of design information contained in patents.
Design Knowledge Representation with Technology Semantic Network
Engineers often need to discover and learn designs from unfamiliar domains for inspiration or other particular uses.
Stopwords in Technical Language Processing
There are increasingly applications of natural language processing techniques for information retrieval, indexing and topic modelling in the engineering contexts.
TechNet: Technology Semantic Network Based on Patent Data
The growing developments in general semantic networks, knowledge graphs and ontology databases have motivated us to build a large-scale comprehensive semantic network of technology-related data for engineering knowledge discovery, technology search and retrieval, and artificial intelligence for engineering design and innovation.
