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In addition to research papers, the Design Society is developing several valuable resources for those interested in the study of design. These include a repository of PhD theses, a library of case studies and transcripts of design activities, and an archive of our newsletters. Please note that these resources are accessible exclusively to Design Society members.

Assessing text-image patent datasets with text-based metrics for engineering design applications

Marco Consoloni (1,2), Vito Giordano (1,2), Gualtiero Fantoni (1,2)

Type:
Papers
DS 129: Proceedings of the DESIGN2024 18th International Design Conference
Year:
2024
Editor:
Mario Štorga, Stanko Škec, Tomislav Martinec, Dorian Marjanović, Neven Pavković, Marija Majda Škec
Author:
Marco Consoloni (1,2), Vito Giordano (1,2), Gualtiero Fantoni (1,2)
Series:
DESIGN
Institution:
1: University of Pisa, Italy; 2: Business Engineering for Data Science Lab (B4DS), Italy
Section:
Artificial Intelligence and Data-Driven Design
Page(s):
1969-1978
DOI number:
10.1017/pds.2024.199
ISSN:
2732-527X (Online)
Abstract:
Images provide concise representations of design artifacts and emerge as the primary mode of communication among innovators, engineers, and designers. The advanced of Artificial Intelligence tools which integrates image and textual information can significantly support the Engineering Design process. In this paper we create 5 different datasets combining both images and text of patents and we develop a set of text-based metrics to assess the quality of text for multimodal applications. Finally, we discuss the challenges arising in the development of multimodal patent datasets.
Keywords:
engineering design, product development, natural language processing (NLP), image data, patent analysis
18th International Design Conference (DESIGN 2024)
Conferences

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