Patent Retrieval : A Multi-Modal Visual Analytics Approach

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

Patent Retrieval : A Multi-Modal Visual Analytics Approach

Dateien

Seebacher_2-5ub10vls1u6r0.pdfGröße: 174.71 KBDownloads: 224

Datum

2016

Open Access-Veröffentlichung

Open Access Green

Sammlungen

Informatik und Informationswissenschaft

Publikationstyp

Beitrag zu einem Konferenzband

Publikationsstatus

Published

Erschienen in

NATALIA ANDRIENKO, , ed., MICHAEL SEDLMAIR, ed.. EuroVA16. The Eurographics Association, 2016, 1118. ISBN 978-3-03868-016-1. Available under: doi: 10.2312/eurova.20161118

Zusammenfassung

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.

Fachgebiet (DDC)

004 Informatik

Schlagwörter

Patent Retrieval, Visual Analytics

Konferenz

EuroVA: International Workshop on Visual Analytics, 6. Juni 2016 - 10. Juni 2016, Groningen, the Netherlands

Zitieren

ISO 690

SEEBACHER, Daniel, Manuel STEIN, Halldor JANETZKO, Daniel A. KEIM, 2016. Patent Retrieval : A Multi-Modal Visual Analytics Approach. EuroVA: International Workshop on Visual Analytics. Groningen, the Netherlands, 6. Juni 2016 - 10. Juni 2016. In: NATALIA ANDRIENKO, , ed., MICHAEL SEDLMAIR, ed.. EuroVA16. The Eurographics Association, 2016, 1118. ISBN 978-3-03868-016-1. Available under: doi: 10.2312/eurova.20161118

BibTex

@inproceedings{Seebacher2016Paten-36920,
  year={2016},
  doi={10.2312/eurova.20161118},
  title={Patent Retrieval : A Multi-Modal Visual Analytics Approach},
  isbn={978-3-03868-016-1},
  publisher={The Eurographics Association},
  booktitle={EuroVA16},
  editor={Natalia Andrienko and Michael Sedlmair},
  author={Seebacher, Daniel and Stein, Manuel and Janetzko, Halldor and Keim, Daniel A.},
  note={Article Number: 1118}
}

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Universitätsbibliographie

Ja