<div class="csl-bib-body">
<div class="csl-entry">Saad, F., Aras, H., & Helfrich, S. (2019). Visual Programming for Patent Mining. In <i>Proceedings of the 1st Workshop on on Patent Text Mining and Semantic Technologies / Editors: Linda Andersson, Hidir Aras, Florina Piroi, Allan Hanbury</i>. https://doi.org/10.34726/pst2019.7</div>
</div>
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dc.identifier.uri
https://doi.org/10.34726/pst2019.7
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/828
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dc.description
In this paper we describe how to employ and extend the KNIME Analytics Platform with a Hadoop backend in order to realize scalable text mining workows for annotating and linking large-scale patent data.
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dc.language
English
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dc.language.iso
en
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dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
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dc.subject
Patent Mining
en
dc.subject
KNIME Analytics Platform
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dc.subject
Workflows
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dc.subject
Visual Programming
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dc.subject
Hadoop
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dc.subject
Scalability
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dc.title
Visual Programming for Patent Mining
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.rights.license
Creative Commons Namensnennung 4.0 International
de
dc.rights.license
Creative Commons Attribution 4.0 International
en
dc.relation.publication
Proceedings of the 1st Workshop on on Patent Text Mining and Semantic Technologies / Editors: Linda Andersson, Hidir Aras, Florina Piroi, Allan Hanbury
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dc.identifier.doi
10.34726/pst2019.7
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dc.rights.holder
Authors 2019
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dc.type.category
Full-Paper Contribution
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dc.publisher.place
Karlsruhe, Germany
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tuw.relation.publisherplace
Karlsruhe, Germany
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tuw.version
vor
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tuw.publication.orgunit
E194 - Institut für Information Systems Engineering