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2007

Patent document categorization based on semantic structural information

9 years 2 months ago
Patent document categorization based on semantic structural information
The number of patent documents is currently rising rapidly worldwide, creating the need for an automatic categorization system to replace time-consuming and labor-intensive manual categorization. Because accurate patent classification is crucial to search for relevant existing patents in a certain field, patent categorization is a very important and useful field. As patent documents are structural documents with their own characteristics distinguished from general documents, these unique traits should be considered in the patent categorization process. In this paper, we categorize Japanese patent documents automatically, focusing on their characteristics: patents are structured by claims, purposes, effects, embodiments of the invention, and so on. We propose a patent document categorization method that uses the k-NN (k-Nearest Neighbour) approach. In order to retrieve similar documents from a training document set, some specific components to denote the socalled semantic elements...
Jae-Ho Kim, Key-Sun Choi
Added 15 Dec 2010
Updated 15 Dec 2010
Type Journal
Year 2007
Where IPM
Authors Jae-Ho Kim, Key-Sun Choi
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