以本體論與專利智財為基之植牙技術分群與技術成熟度分析

Abstract

ABSTRACT

Rapid technology development shorter product life cycle, fierce competition in the marketplace, establishes patent analyses are an important strategic tool for R&D management. This thesis develops a technology clustering and life-span analysis framework based on data mining techniques to help companies effectively and rapidly gain domain-specific knowledge and technology insight. In addition, patent documents contain complex terminologies which require experts to perform patent analysis. This research applies patent analysis methodologies to create domain-specific ontologies. The advantage of using an ontology is that it contains specific domain concepts and helps researchers to understand the relationships between concepts. In addition, ontologies are used to effectively extract domain knowledge, cluster patents and create graphs for tend recognition. Life-span analysis of technology clusters helps companies to gain a quick snapshot of their own patent portfolio and identify potential technology clusters for investment.

This thesis proposes the process of knowledge extraction for domain-specific patents using patent analysis methodologies which improve domain-knowledge understanding. The methodologies proposed in this research include key phrase analysis, patent technology clustering, patent document clustering, domain-specific ontology, and life-span analysis. With these methodologies, companies quickly derive domain-specific ontologies to help R&D engineers relate data and increase understanding of a specific domain and the relationship between concepts. Life-span analysis helps companies’ direct strategic R&D plans and evaluates the timing of investments using the methodologies proposed in this research. The validity and reliability of the methodology are tested by studying the application of a set of dental implant patents.

Keywords: Dental implant, ontology, key phrase analysis, clustering, life-span analysis

ABSTRACT

Rapid technology development shorter product life cycle, fierce competition in the marketplace, establishes patent analyses are an important strategic tool for R&D management. This thesis develops a technology clustering and life-span analysis framework based on data mining techniques to help companies effectively and rapidly gain domain-specific knowledge and technology insight. In addition, patent documents contain complex terminologies which require experts to perform patent analysis. This research applies patent analysis methodologies to create domain-specific ontologies. The advantage of using an ontology is that it contains specific domain concepts and helps researchers to understand the relationships between concepts. In addition, ontologies are used to effectively extract domain knowledge, cluster patents and create graphs for tend recognition. Life-span analysis of technology clusters helps companies to gain a quick snapshot of their own patent portfolio and identify potential technology clusters for investment.

This thesis proposes the process of knowledge extraction for domain-specific patents using patent analysis methodologies which improve domain-knowledge understanding. The methodologies proposed in this research include key phrase analysis, patent technology clustering, patent document clustering, domain-specific ontology, and life-span analysis. With these methodologies, companies quickly derive domain-specific ontologies to help R&D engineers relate data and increase understanding of a specific domain and the relationship between concepts. Life-span analysis helps companies’ direct strategic R&D plans and evaluates the timing of investments using the methodologies proposed in this research. The validity and reliability of the methodology are tested by studying the application of a set of dental implant patents.

Keywords: Dental implant, ontology, key phrase analysis, clustering, life-span analysis