iPresage: An innovative patent landscaping tool

Author

Avasarala, Viswanath ; Bonissone, Piero

Author_Institution

Machine Learning Lab., GE Global Res., Schenectady, NY, USA

fYear

2012

fDate

10-15 June 2012

Firstpage

1

Lastpage

7

Abstract

iPresage is a web-based interactive tool for rapid and scalable patent landscaping. iPresage relies on sophisticated text mining, statistical machine learning and computational intelligence algorithms to allow analysts to mine large patent databases and evaluate whitespaces and temporal trends. This paper describes iPresage algorithms in detail and showcases iPresage functionality, using an illustrative example.

Keywords

Internet; data mining; database management systems; learning (artificial intelligence); patents; statistical analysis; text analysis; Web-based interactive tool; computational intelligence algorithms; iPresage algorithms; iPresage functionality; innovative patent landscaping tool; large patent database mining; rapid patent landscaping; scalable patent landscaping; sophisticated text mining; statistical machine learning; temporal trends; Algorithm design and analysis; Evolutionary computation; Patents; Resource management; Software; Vectors; Visualization; Bayesian Models; Evolutionary Computation; Latent Dirchlet Allocation; Multi-Dimensional Scaling;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation (CEC), 2012 IEEE Congress on

Conference_Location

Brisbane, QLD

Print_ISBN

978-1-4673-1510-4

Electronic_ISBN

978-1-4673-1508-1

Type

conf

DOI

10.1109/CEC.2012.6256503

Filename

6256503