no code implementations • 20 Mar 2024 • Qihao Zhu, Leah Chong, Maria Yang, Jianxi Luo
In human-centered design, developing a comprehensive and in-depth understanding of user experiences, i. e., empathic understanding, is paramount for designing products that truly meet human needs.
no code implementations • 13 Mar 2024 • Shuo Jiang, Jianxi Luo
Researchers and innovators have made enormous efforts in developing ideation methods, such as morphological analysis and design-by-analogy, to aid engineering design ideation for problem solving and innovation.
no code implementations • 11 Dec 2023 • L. Siddharth, Jianxi Luo
We examine the constituents of these knowledge graphs to understand the linguistic and structural basis of engineering design knowledge.
1 code implementation • 13 Jul 2023 • L Siddharth, Jianxi Luo
Large-language Models (LLMs) need to adopt Retrieval-Augmented Generation (RAG) to generate factual responses that are better suited to knowledge-based applications in the design process.
no code implementations • 23 Mar 2023 • Serhad Sarica, Jianxi Luo
Innovation, typically spurred by reusing, recombining, and synthesizing existing concepts, is expected to result in an exponential growth of the concept space over time.
no code implementations • 19 Mar 2023 • Qihao Zhu, Jianxi Luo
Specifically, we conduct an interdisciplinary investigation of research areas such as data-driven user studies, empathic understanding development, and artificial empathy.
no code implementations • 26 Dec 2022 • Qihao Zhu, Xinyu Zhang, Jianxi Luo
This paper proposes a generative design approach based on the generative pre-trained language model (PLM) to automatically retrieve and map biological analogy and generate BID in the form of natural language.
no code implementations • 7 Nov 2022 • Qihao Zhu, Jianxi Luo
Generating novel and useful concepts is essential during the early design stage to explore a large variety of design opportunities, which usually requires advanced design thinking ability and a wide range of knowledge from designers.
no code implementations • 3 Nov 2022 • L Siddharth, Guangtong Li, Jianxi Luo
We obtain citation and inventor embeddings through TransE that is trained using the corresponding knowledge graphs.
no code implementations • 3 Nov 2022 • Guangtong Li, L Siddharth, Jianxi Luo
Knowledge proximity refers to the strength of association between any two entities in a structural form that embodies certain aspects of a knowledge base.
no code implementations • 20 Oct 2022 • Serhad Sarica, Ji Han, Jianxi Luo
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.
no code implementations • 18 Oct 2022 • Jianxi Luo, Serhad Sarica, Kristin Wood
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.
no code implementations • 31 Mar 2022 • Qihao Zhu, Xinyu Zhang, Jianxi Luo
Biological systems in nature have evolved for millions of years to adapt and survive the environment.
no code implementations • 28 Mar 2022 • Qihao Zhu, Jianxi Luo
This paper aims to explore a generative approach for knowledge-based design ideation by applying the latest pre-trained language models in artificial intelligence (AI).
no code implementations • 27 Nov 2021 • L Siddharth, Lucienne T. M. Blessing, Jianxi Luo
We review the scholarly contributions that utilise Natural Language Processing (NLP) techniques to support the design process.
no code implementations • 16 Nov 2021 • Qihao Zhu, Jianxi Luo
Novel concepts are essential for design innovation and can be generated with the aid of data stimuli and computers.
no code implementations • 15 Nov 2021 • Shuo Jiang, Serhad Sarica, Binyang Song, Jie Hu, Jianxi Luo
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.
no code implementations • 21 Oct 2021 • Shuo Jiang, Jianxi Luo
Technology is essential to innovation and economic prosperity.
no code implementations • 27 Jun 2021 • Shuo Jiang, Jie Hu, Christopher L. Magee, Jianxi Luo
In large technology companies, the requirements for managing and organizing technical documents created by engineers and managers have increased dramatically in recent years, which has led to a higher demand for more scalable, accurate, and automated document classification.
no code implementations • 12 Jun 2021 • L Siddharth, Lucienne T. M. Blessing, Kristin L. Wood, Jianxi Luo
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.
no code implementations • 3 Jun 2021 • Shuo Jiang, Jie Hu, Kristin L. Wood, Jianxi Luo
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 a source domain; it can benefit designers in mitigating design fixation and improving design ideation outcomes.
no code implementations • 31 Dec 2020 • Serhad Sarica, Jianxi Luo
Engineers often need to discover and learn designs from unfamiliar domains for inspiration or other particular uses.
no code implementations • 4 Jun 2020 • Serhad Sarica, Jianxi Luo
There are increasingly applications of natural language processing techniques for information retrieval, indexing and topic modelling in the engineering contexts.
no code implementations • 10 Mar 2020 • Shuo Jiang, Jianxi Luo, Guillermo Ruiz Pava, Jie Hu, Christopher L. Magee
This approach is also illustrated in a case study of robot arm design retrieval.
1 code implementation • 2 Jun 2019 • Serhad Sarica, Jianxi Luo, Kristin L. Wood
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.
1 code implementation • 13 Jan 2019 • Bowen Yan, Jianxi Luo
Network maps of patent classes have been widely used to analyze the coherence and diversification of technology or knowledge positions of inventors, firms, industries, regions, and so on.
Digital Libraries Social and Information Networks
1 code implementation • 11 May 2016 • Bowen Yan, Jianxi Luo
Many real-world networks exhibit a multicores-periphery structure, with densely connected vertices in multiple cores surrounded by a general periphery of sparsely connected vertices.
Social and Information Networks Physics and Society