Deriving technology intelligence from patents: Preposition-based semantic analysis |
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| Authors: | Jaehyeong An Kyuwoong Kim Letizia Mortara Sungjoo Lee |
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| Institution: | 1. Technology Intelligence Team, Hyundai NGV, Gwanak-ro 1, Gwanak-gu, Seoul 08826, Republic of Korea;2. Department of Industrial Engineering, Ajou University, Worldcup-ro 206, Yeongtong-gu, Suwon 16499, Republic of Korea;3. Centre for Technology Management, Institute for Manufacturing, University of Cambridge, Department of Engineering, Alan Reece Building, 17 Charles Babbage Road, Cambridge CB3 0FS, UK |
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| Abstract: | Patents are one of the most reliable sources of technology intelligence, and the true value of patent analysis stems from its capability of describing the content of technology based on the relationships between keywords. To date a number of techniques for analyzing the information contained in patent documents that focus on the relationships between keywords have been suggested. However, a drawback of the existing keyword approaches is that they cannot yet determine the types of relationships between the keywords. This study proposes a novel approach based on preposition semantic analysis network which overcomes the limitations of the existing keywords-based network analysis and demonstrates its potential through an application. A preposition is a word that defines the relationship between two neighboring words, and, in the case of patents, prepositions aid in revealing the relationships between keywords related to technologies. To demonstrate the approach, patents regarding an electric vehicle were employed. 13 prepositions were identified which could be used to define 5 relationships between neighboring technological terms: “inclusion (utilization),” “objective (purpose),” “effect,” “process,” and “likeness.” The proposed approach is expected to improve the usability of keyword-based patent analyses and support more elaborate studies on patent documents. |
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| Keywords: | Technology intelligence Technology search Technology trends Patent analysis Semantic Preposition Text mining Key-words Text mining |
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