Technology intelligence

Abstract: 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.

Abstract: Technology intelligence tools have come to be regarded as vital components in planning for technology development and formulating technology strategies However, most such tools currently focus on providing graphical frameworks and databases to support the process of technology analysis Techpioneer, the proposed tool in this paper, aims to offer decisive information in order to identify technology opportunities To this end, the system uses textual information from technological document databases and applies morphology analysis to derive promising alternatives and conjoint analysis to evaluate their priority In addition, the method used in developing a technology dictionary is presented, employing clustering and network analysis This system also has the ability to communicate with experts in order to estimate the value of existing patents, which is inevitable for the priority-setting of alternatives, construct a morphological matrix and so on This paper presents the system architecture and functions of this tool and moreover, illustrates the prototype implementation and case study of the same