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
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