<div class="csl-bib-body">
<div class="csl-entry">Skripnikova, T., Aras, H., Weißhaar, A., Blank, S., & Zorn, H.-P. (2019). Semantic Views - Interactive Hierarchical Exploration for Patent Landscaping. In <i>Proceedings of The 1st Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech 2019)</i>. 1st Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech 2019), Karlsruhe, Germany. https://doi.org/10.34726/pst2019.6</div>
</div>
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dc.identifier.uri
https://doi.org/10.34726/pst2019.6
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/829
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dc.description
In this paper, we investigate whether a semantic representation of patent documents provides added value for a multi-dimensional visual exploration of a patent landscape compared to traditional approaches. Word embeddings from a pre-trained model created from patent text are used to calculate pairwise similarities for representing each document in the semantic space. Then, a hierarchical clustering method is applied to create several semantic aggregation levels for a collection of patent documents. For visual exploration, we have seamlessly integrated multiple interaction metaphors that combine semantics and additional metadata for improving hierarchical exploration of large document collections.
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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 landscaping
en
dc.subject
word embeddings
en
dc.subject
hierarchical clustering
en
dc.subject
text analysis
en
dc.subject
semantic exploration
en
dc.subject
multi-dimensional exploration
en
dc.subject
visual user interface
en
dc.title
Semantic Views - Interactive Hierarchical Exploration for Patent Landscaping
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.identifier.doi
10.34726/pst2019.6
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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.booktitle
Proceedings of The 1st Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech 2019)
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tuw.version
vor
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dc.identifier.libraryid
AC15614469
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dc.description.numberOfPages
2
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dc.identifier.urn
urn:nbn:at:at-ubtuw:3-9455
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dc.rights.identifier
CC BY 4.0
de
dc.rights.identifier
CC BY 4.0
en
tuw.event.name
1st Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech 2019)
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tuw.event.startdate
12-09-2019
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tuw.event.enddate
12-09-2019
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tuw.event.online
On Site
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tuw.event.type
Event for scientific audience
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tuw.event.place
Karlsruhe
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tuw.event.country
DE
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tuw.event.presenter
Skripnikova, Tatyana
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item.languageiso639-1
en
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item.openairetype
conference paper
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item.grantfulltext
open
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item.fulltext
with Fulltext
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item.cerifentitytype
Publications
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item.openairecristype
http://purl.org/coar/resource_type/c_5794
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item.openaccessfulltext
Open Access
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crisitem.author.dept
FIZ Karlsruhe – Leibniz Institute for Information Infrastructure
