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Ontology-based technology function matrix for patent analysis of additive manufacturing in the dental industry
- Source :
- International Journal of Manufacturing Research. 12:64
- Publication Year :
- 2017
- Publisher :
- Inderscience Publishers, 2017.
-
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 RD Revised 22 October 2016; Accepted 8 November 2016]
- Subjects :
- Engineering
business.industry
media_common.quotation_subject
05 social sciences
02 engineering and technology
Ontology (information science)
050905 science studies
Data science
Competitive advantage
Industrial and Manufacturing Engineering
Manufacturing engineering
Computer Science Applications
Domain (software engineering)
Matrix (mathematics)
Control and Systems Engineering
Modeling and Simulation
Informatics
Patent visualisation
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Product (category theory)
0509 other social sciences
Function (engineering)
business
media_common
Subjects
Details
- ISSN :
- 17500605 and 17500591
- Volume :
- 12
- Database :
- OpenAIRE
- Journal :
- International Journal of Manufacturing Research
- Accession number :
- edsair.doi...........81a699eb33b0b6c15316df103daae111
- Full Text :
- https://doi.org/10.1504/ijmr.2017.083652