<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 on Patent Text Mining and Semantic Technologies / Editors: Linda Andersson, Hidir Aras, Florina Piroi, Allan Hanbury</i>. https://doi.org/10.34726/pst2019.6</div>
</div>
-
dc.identifier.uri
https://doi.org/10.34726/pst2019.6
-
dc.identifier.uri
http://hdl.handle.net/20.500.12708/829
-
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.
-
dc.language
English
-
dc.language.iso
en
-
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
-
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.relation.publication
Proceedings of the 1st Workshop on on Patent Text Mining and Semantic Technologies / Editors: Linda Andersson, Hidir Aras, Florina Piroi, Allan Hanbury
-
dc.identifier.doi
10.34726/pst2019.6
-
dc.rights.holder
Authors 2019
-
dc.publisher.place
Karlsruhe, Germany
-
tuw.relation.publisherplace
Karlsruhe, Germany
-
tuw.version
vor
-
tuw.publication.orgunit
E194 - Institut für Information Systems Engineering
