Abstract Design-by-analogy (DbA) is a design methodology wherein new solutions,
opportunities, or designs are generated in a target domain based on inspiration drawn from …

In the past two decades, there has been increasing use of semantic networks in engineering
design for supporting various activities, such as knowledge extraction, prior art search, idea …

There are increasing applications of natural language processing techniques for information
retrieval, indexing, topic modelling and text classification in engineering contexts. A standard …

We propose a large, scalable engineering knowledge graph, comprising sets of real-world
engineering “facts” as< entity, relationship, entity> triples that are found in the patent …

We review the scholarly contributions that utilise natural language processing (NLP)
techniques to support the design process. Using a heuristic approach, we gathered 223 …

The rapid growth of data and the requirement of designers to track massive data to obtain
design stimuli have posed challenges to conceptual design, thereby promoting the …

Data-driven design is a process to reuse data sources and provide valuable information to
provoke creative ideas in the stages of design. However, existing semantic networks for …

Directing at the problem of inaccurate expression of tacit knowledge and low heuristic of
retrieval results in the design inspiration drawing process of designers based on traditional …

Data-driven conceptual design is rapidly emerging as a powerful approach to generate
novel and meaningful ideas by leveraging external knowledge especially in the early design …

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 …