Name
Title | ||
|---|---|---|
Constructing a dental implant ontology for domain specific clustering and life span analysis |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.aei.2013.04.003 | Advanced Engineering Informatics |
Keywords | Field | DocType |
life span mapping,dental implant,di ontology,di patent,di technical cluster,domain specific clustering,life span analysis,domain-specific ontology,key phrase,life span,key patent,specific technology life cycle,clustering | Data science,Data mining,Ontology,Life spans,Dental implant,Life span,Artificial intelligence,Engineering,Intellectual property,Patent analysis,Cluster analysis,Schema (psychology) | Journal |
Volume | Issue | ISSN |
27 | 3 | 1474-0346 |
Citations | PageRank | References |
8 | 0.66 | 12 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Charles V. Trappey | 1 | 362 | 44.98 |
| Tong-Mei Wang | 2 | 15 | 2.56 |
| Sean Hoang | 3 | 8 | 0.66 |
| Amy J. C. Trappey | 4 | 348 | 48.23 |