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Lee, Changyong
Technology and Innovation Management Lab
Research Interests
  • applied data mining and machine learning, technology and innovation management, service engineering

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How to assess patent infringement risks: a semantic patent claim analysis using dependency relationships

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Title
How to assess patent infringement risks: a semantic patent claim analysis using dependency relationships
Author
Lee, ChangyongSong, BPark, Y
Keywords
hierarchical keyword vector;  patent infringement;  semantic patent claim analysis;  technology intelligence;  tree matching algorithm
Issue Date
2013-01
Publisher
ROUTLEDGE JOURNALS
Citation
TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT, v.25, no.1, pp.23 - 38
Abstract
We propose a semantic patent claim analysis that can examine patents for possible infringements and identify which needs to be manually perused. So far, numerous approaches have been devised to systemise this burden, but have not been useful in practice because of a lack of consideration of semi-structure of patent claim data and claim element-based procedure of adjudicating patent infringement. At the heart of our method is a hierarchical keyword vector for representing the dependency relationships among claim elements (as well as unstructured textual information) and a tree matching algorithm for comparing claim elements of patents. A case study of the patents about DNA chip technology shows our method has considerable advantages in terms of accuracy and significance. We believe the suggested method could be employed in various research areas and serve as a starting point for developing more general models.
URI
https://scholarworks.unist.ac.kr/handle/201301/8366
DOI
10.1080/09537325.2012.748893
ISSN
0953-7325
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SME_Journal Papers
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