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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


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

DC Field Value Language Lee, Changyong - Song, B - Park, Y - 2014-11-07T04:11:32Z - 2014-11-07T04:11:32Z - 2014-11-06 - 2013-01 -
dc.identifier.citation TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT, v.25, no.1, pp.23 - 38 -
dc.identifier.issn 0953-7325 -
dc.identifier.uri -
dc.description.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. -
dc.description.statementofresponsibility open -
dc.language ENG -
dc.subject hierarchical keyword vector -
dc.subject patent infringement -
dc.subject semantic patent claim analysis -
dc.subject technology intelligence -
dc.subject tree matching algorithm -
dc.title How to assess patent infringement risks: a semantic patent claim analysis using dependency relationships -
dc.type ARTICLE -
dc.identifier.scopusid 2-s2.0-84872043914 -
dc.type.rims ART -
dc.identifier.doi 10.1080/09537325.2012.748893 -
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