Learning Algorithms for Keyphrase Extraction
Information Retrieval
Text analysis and knowledge mining system
IBM Systems Journal
Text Mining: Predictive Methods for Analyzing Unstructured Information
Text Mining: Predictive Methods for Analyzing Unstructured Information
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Text mining techniques for patent analysis
Information Processing and Management: an International Journal
A patent analysis of cluster analysis
Applied Stochastic Models in Business and Industry - Special issue on the 6th International Symposium on Business and Industrial Statistics (ISBIS-6)
Using patent data for technology forecasting: China RFID patent analysis
Advanced Engineering Informatics
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Developing an ontology for the U.S. patent system
Proceedings of the 12th Annual International Digital Government Research Conference: Digital Government Innovation in Challenging Times
CorePhrase: keyphrase extraction for document clustering
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
| Hi-index | 0.00 |
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.