DocumentCode :
2191852
Title :
SIMPLE: Interactive Analytics on Patent Data
Author :
Spangler, Scott ; Chen, Ying ; Kreulen, Jeffrey ; Boyer, Stephen ; Griffin, Thomas ; Alba, Alfredo ; Kato, Linda ; Lelescu, Ana ; Yan, Su
Author_Institution :
Almaden Res. Center, IBM, San Jose, CA, USA
fYear :
2010
fDate :
13-13 Dec. 2010
Firstpage :
426
Lastpage :
433
Abstract :
Intellectual Properties (IP), such as patents and trademarks, are one of the most critical assets in today´s enterprises and research organizations. They represent the core innovation and differentiators of an organization. When leveraged effectively, they not only protect freedom of action, but also generate significant opportunities in licensing, execution, long term research and innovation. In this paper, we expand upon a previous paper describing a solution called SIMPLE, which mines large corpus of patents and scientific literature for insights. In this paper we focus on the interactive analytics aspects of SIMPLE, which allow the analyst to explore large unstructured information collections containing mixed information in a dynamic way. We use real-world case studies to demonstrate the effectiveness of interactive analytics in SIMPLE.
Keywords :
business data processing; data analysis; data mining; law; patents; SIMPLE; enterprises organization; intellectual properties; interactive analytics; patent data mining; patents corpus mining; research organization; Patent mining; bioinformatics; patent analytics; text analytics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Mining Workshops (ICDMW), 2010 IEEE International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
978-1-4244-9244-2
Electronic_ISBN :
978-0-7695-4257-7
Type :
conf
DOI :
10.1109/ICDMW.2010.188
Filename :
5693329
Link To Document :
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