Patent Retrieval: A Multi-Modal Visual Analytics Approach

Seebacher, Daniel; Stein, Manuel; Janetzko, Halldór; Keim, Daniel A.

Patent Retrieval: A Multi-Modal Visual Analytics Approach

Files

013-017.pdf (6.72 MB)

Date

2016

Authors

Seebacher, Daniel
Stein, Manuel
Janetzko, Halldór
Keim, Daniel A.

Publisher

The Eurographics Association

Abstract

Claiming intellectual property for an invention by patents is a common way to protect ideas and technological advancements. However, patents allow only the protection of new ideas. Assessing the novelty of filed patent applications is a very time-consuming, yet crucial manual task. Current patent retrieval systems do not make use of all available data and do not explain the similarity between patents. We support patent officials by an enhanced Visual Analytics multi-modal patent retrieval system. Including various similarity measurements and incorporating user feedback, we are able to achieve significantly better query results than state-of-the-art methods.

        @inproceedings{10.2312:eurova.20161118
,
booktitle = {EuroVis Workshop on Visual Analytics (EuroVA)
},
editor = {Natalia Andrienko and Michael Sedlmair
},
title = {{Patent Retrieval: A Multi-Modal Visual Analytics Approach
}},
author = {Seebacher, Daniel and 
Stein, Manuel and 
Janetzko, Halldór and 
Keim, Daniel A.
},
year = {2016
},
publisher = {The Eurographics Association
},
ISSN = {-
},
ISBN = {978-3-03868-016-1
},
DOI = {10.2312/eurova.20161118
}
}