Visual Programming for Patent Mining

Saad, Farag; Aras, Hidir; Helfrich, Stefan

doi:10.34726/pst2019.7

Record link:

https://doi.org/10.34726/pst2019.7
http://hdl.handle.net/20.500.12708/828

Title:

Citation:

Saad, F., Aras, H., & Helfrich, S. (2019). Visual Programming for Patent Mining. 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/pst2019.7

reposiTUm DOI:

10.34726/pst2019.7

CatalogPlus:

AC15614475

Publication Type:

Inproceedings - Full-Paper Contribution

Language:

English

Authors:

Saad, Farag
Aras, Hidir
Helfrich, Stefan

Organisational Unit:

E194 - Institut für Information Systems Engineering

Date (published):

2019

Number of Pages:

Keywords:

Patent Mining; KNIME Analytics Platform; Workflows; Visual Programming; Hadoop; Scalability

Additional information:

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.

License:

CC BY 4.0