標題: Constructing a dental implant ontology for domain specific clustering and life span analysis
作者: Trappey, Charles V.
Wang, Tong-Mei
Hoang, Sean
Trappey, Amy J. C.
管理科學系
Department of Management Science
關鍵字: Clustering;Key phrase extraction;Dental implant ontology;Life span analysis
公開日期: 1-八月-2013
摘要: Dental implant and prosthetics is a growing industry that follows the increasing aged populations that incur a higher percentage of tooth loss [1]. The dental implant sector is one of the most technical oriented fields in dentistry with many new techniques, devices, and materials being invented and put to clinical trials. Most innovations and technologies tend to be protected by intellectual property rights (IPRs) through patents. Thus, this research identifies the life spans of dental implant (DI) key technologies using patent analysis. Key patents and their frequently appearing phrases are analyzed for the construction of the DI ontology. Afterward, the life spans of DI technical clusters are defined based on the ontology schema. This research demonstrates the feasibility of using text mining and data mining techniques to extract key phrases from a set of DI patents with different patent classifications (e.g., UPC, IPC) as the basis for building a domain-specific ontology. The case study of ontological sub-clustering for dental implants demonstrates life span mapping of the technology and the ability to use clusters to represent stages of development and maturity in specific technology life cycles. (C) 2013 Elsevier Ltd. All rights reserved.
URI: http://dx.doi.org/10.1016/j.aei.2013.04.003
http://hdl.handle.net/11536/22119
ISSN: 1474-0346
DOI: 10.1016/j.aei.2013.04.003
期刊: ADVANCED ENGINEERING INFORMATICS
Volume: 27
Issue: 3
起始頁: 346
結束頁: 357
顯示於類別:期刊論文


文件中的檔案:

  1. 000322607900004.pdf