Patent Retrieval: A Multi-Modal Visual Analytics Approach
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2016Author
Seebacher, Daniel 
Keim, Daniel A.
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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.
BibTeX
@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}
}
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}
}