A patent intelligence system for strategic technology planning

Patent intelligence—the transformation of content found in multiple patents into technical, business, and legal insight—is considered a key factor in gaining a competitive advantage in technologically competitive business environments. Although keyword-based patent intelligence tools are widely used...

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Vydáno v:Expert systems with applications Ročník 40; číslo 7; s. 2373 - 2390
Hlavní autoři: Park, Hyunseok, Kim, Kwangsoo, Choi, Sungchul, Yoon, Janghyeok
Médium: Journal Article
Jazyk:angličtina
Vydáno: Amsterdam Elsevier Ltd 01.06.2013
Elsevier
Témata:
Algorithmics. Computability. Computer arithmetics
Applied sciences
Business
Competitive business
Computer science; control theory; systems
Data processing. List processing. Character string processing
Exact sciences and technology
Expert systems
Firm modelling
Function
Information systems. Data bases
Intelligence
Intelligence system
Memory organisation. Data processing
Networks
Operational research and scientific management
Operational research. Management science
Patent map
Patent mining
Patent network
SAO
Software
Strategy
Subject–Action–Object
Technology intelligence
Technology planning
Theoretical computing
SAO
Function
Patent map
Patent network
Patent mining
Subject–Action–Object
Technology planning
Intelligence system
Technology intelligence
Scientific technical information
Intelligence
Semantic analysis
Competitiveness
Strategic planning
Data mining
Business process
Object oriented
System identification
Firm strategy
Textual data
Patents
Keyword
Occurrence frequency
Assisted planning
Process planning
Interconnected power system
Intellectual property
Patent rights
Subject-Action-Object
Expertise
Interconnected system
Structural analysis
ISSN:0957-4174, 1873-6793
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Popis
Shrnutí:Patent intelligence—the transformation of content found in multiple patents into technical, business, and legal insight—is considered a key factor in gaining a competitive advantage in technologically competitive business environments. Although keyword-based patent intelligence tools are widely used due to their simplicity and ease of use, they are limited in that they cannot represent key technological concepts and inventive knowledge by relying only on the frequency of occurrence of defined keywords. As a remedy, this paper proposes a Subject–Action–Object (SAO)-based patent intelligence system. SAO structures that can be extracted from textual patent information are known as the expertise and inventive findings of the relevant patent. On the basis of semantic analysis of patent SAO structures, our proposed intelligence system constructs patent maps and patent networks. Building on the maps and networks, the system provides specific functionalities including identification of technology trends and significant patents, detection of novel technologies, and identification of potential infringement. This paper describes the architecture of our proposed patent intelligence system in detail, and illustrates the system’s functionalities using case studies. We anticipate that our proposed system will be incorporated into the technology planning process to assist experts in the formulation of technology strategies.
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ISSN:0957-4174
1873-6793
DOI:10.1016/j.eswa.2012.10.073