Title: Ontology-based technology function matrix for patent analysis of additive manufacturing in the dental industry

Authors: Amy J.C. Trappey; Charles V. Trappey; Tong Mei Wang; Mark Y.L. Tang

Addresses: Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Taiwan ' Department of Management Science, National Chiao Tung University, Taiwan Tong Mei Wang School of Dentistry, National Taiwan University, Taiwan ' School of Dentistry,National Taiwan University, Taiwan ' Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Taiwan

Abstract: Additive manufacturing (AM) technologies have been developed and applied to many domains where product mass-customisation is critical to maintaining competitive advantage. For instance, AM has been adopted for use in the medical and dental manufacture of implants, prosthetics and orthodontics, where these devices must be made to match each patient's unique facial, dental or other body profiles. The research presented focuses on the technological and functional aspects of patent informatics to discover the innovation trends for materials, products, and processes. The research proposes a generic methodology incorporating patent text and data mining to create an ontology based technology function (TF) matrix for any technology domain. The TF matrix is applied to describe the distribution of global dental AM patents. The research compares the latest dental-related AM research initiatives in Taiwan with globally emerging patents. The patent based analytical approach enables R&D teams to benchmark their comparative advantages. [Received 1 May 2016; Revised 22 October 2016; Accepted 8 November 2016]

Keywords: additive manufacturing; AM; patent analysis; patent mining; text mining; technology function matrix; knowledge ontology.

DOI: 10.1504/IJMR.2017.083652

International Journal of Manufacturing Research, 2017 Vol.12 No.1, pp.64 - 82

Received: 30 Apr 2016
Accepted: 08 Nov 2016
Published online: 13 Apr 2017 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article