DocumentCode
2774902
Title
SIMPLE: A Strategic Information Mining Platform for Licensing and Execution
Author
Chen, Ying ; Spangler, Scott ; Kreulen, Jeffrey ; Boyer, Stephen ; Griffin, Thomas D. ; Alba, Alfredo ; Behal, Amit ; Bin He ; Kato, Linda ; Lelescu, Ana ; Kieliszewski, Cheryl ; Wu, Xian ; Zhang, Li
Author_Institution
IBM Almaden Res. Center, San Jose, CA, USA
fYear
2009
fDate
6-6 Dec. 2009
Firstpage
270
Lastpage
275
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 a business from its competition, but also generate significant opportunities in licensing, execution, long term research and innovation. In certain industries, e. g., Pharmaceutical industry, patents lead to multi-billion dollar revenue per year. In this paper, we present a holistic information mining solution, called SIMPLE, which mines large corpus of patents and scientific literature for insights. Unlike much prior work that deals with specific aspects of analytics, SIMPLE is an integrated and end-to-end IP analytics solution which addresses a wide range of challenges in patent analytics such as the data complexity, scale, and nomenclature issues. It encompasses techniques for patent data processing and modeling, analytics algorithms, web interface and web services for analytics service delivery and end-user interaction. We use real-world case studies to demonstrate the effectiveness of SIMPLE.
Keywords
data mining; patents; trademarks; SIMPLE; Web interface; Web services; analytics service delivery; end-to-end IP analytics solution; end-user interaction; intellectual properties; licensing; patent data processing; patents; strategic information mining platform; trademarks; Data analysis; Data mining; Data processing; Data visualization; Information analysis; Intellectual property; Licenses; Pharmaceuticals; Service oriented architecture; Technological innovation;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Mining Workshops, 2009. ICDMW '09. IEEE International Conference on
Conference_Location
Miami, FL
Print_ISBN
978-1-4244-5384-9
Electronic_ISBN
978-0-7695-3902-7
Type
conf
DOI
10.1109/ICDMW.2009.36
Filename
5360494
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