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Analysis of Patents for Prior Art Candidate Search

Authors:
Sébastien Déjean
Nicolas Faessel
Lucille Marty
Josiane Mothe
Samantha Sadala
Soda Thiam

Keywords: Information retrieval, Patent retrieval, Prior art retrieval, Visualization, Information mining.

Abstract:
In this paper, we describe a method for analyzing a collection of patents in order to help prior art candidate search in an interactive and graphical way. The method relies on the use of two data mining methods: hierarchical agglomerative clustering and principal component analysis, which are applied successively. The correlation between the application patent and the other patents is a good indicator to help decide the classes of patents to look at.

Pages: 1 to 6

Copyright: Copyright (c) IARIA, 2013

Publication date: November 17, 2013

Published in: conference

ISSN: 2326-9332

ISBN: 978-1-61208-311-7

Location: Lisbon, Portugal

Dates: from November 17, 2013 to November 21, 2013