Skripnikova, T., Aras, H., Weißhaar, A., Blank, S., & Zorn, H.-P. (2019). Semantic Views - Interactive Hierarchical Exploration for Patent Landscaping. In Proceedings of the 1st Workshop on on Patent Text Mining and Semantic Technologies / Editors: Linda Andersson, Hidir Aras, Florina Piroi, Allan Hanbury. https://doi.org/10.34726/pst2019.6
E194 - Institut für Information Systems Engineering
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Date (published):
2019
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Number of Pages:
2
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Keywords:
Patent landscaping; word embeddings; hierarchical clustering; text analysis; semantic exploration; multi-dimensional exploration; visual user interface
en
Additional information:
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.
CC BY 4.0
