COA: Finding novel patents through text analysis

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Volumn , Issue , 2009, Pages 1175-1183

  Al Hasan, Mohammad ^a   Spangler, W Scott ^b   Griffin, Thomas ^b   Alba, Alfredo ^b  

^a Rensselaer Polytechnic Institute   (United States)

^b IBM ALMADEN RESEARCH CENTER   (United States)

Author keywords

Document ranking; Information retrieval; Patent processing; Patent visualization

Indexed keywords

BUSINESS ENTERPRISE; DATA MINING TECHNIQUES; DOCUMENT RANKING; KNOWLEDGE DISCOVERY; MANAGEMENT COSTS; PATENT EVALUATION; PATENT PROCESSING; PATENT VISUALIZATION; RANKING TECHNIQUE; SOFTWARE SYSTEMS; SYSTEM ARCHITECTURES; TECHNOLOGY INDUSTRY; TEXT ANALYSIS;

COMPUTER SOFTWARE; COST REDUCTION; DATA MINING; INFORMATION RETRIEVAL; INFORMATION SERVICES; INTERNET PROTOCOLS; LAWS AND LEGISLATION; VISUALIZATION;

PATENTS AND INVENTIONS;

EID: 70350648984     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1557019.1557146     Document Type: Conference Paper

References (24)

1. J. Bessen, An Empirical Look at Software Patents, J. of Econ. & Management Strategy (2007), 16(1): 157-189
2. www.almaden.ibm.com/asr/projects/biw/
3. www.delphion.com
4. http://www.freepatentsonline.com
5. D. Harhoff, F. Narin, F. Scherer, and K. Vopel, Citation Frequency and the Value of Patented Inventions, The Review of Economics and Statistics, 81(3):511-515
6. www.ibm.com/ibm/licensing/patents/portfolio.shtml
7. A. B. Jaffe, and J. Lerner, Innovation and its discontents: How our broken patent system is endangering innovation and progress, and what to do about it, Princeton University Press, 2004
8. K. Kasravi, M. Risov, Patent Mining - Discovery of Business Value from Patent Repositories, Proc. of the 40th Intl. Conf. on System Science (2007), Hawaii, US
9. H.J Knight, Patent Strategy for Researchers and Research Managers, John Willey and Sons Ltd., 2001
10. J. Kleinberg, Authoritative sources in a hyperlinked environment, Proc. of the Ninth Ann. ACM-SIAM Symp. Discrete Algorithms, page 668-677., 1998
11. J. O. Lanjouw, A. Pakes, and J. Putnam, How to count Patent and Value Intellectual Property: The Use of Patent Renewal and Application Data, The Journal of Industrial Economics, 46(4):405-432, 1998
12. J. O. Lanjouw, Economic Consequence of a Changing Litigation Environment: The case of Patents, National Bureau of Economic Research, W4835, 1994
13. http://lucene.apache.org/java/docs/
14. A. L. Miele, patent Strategy: The manager's guide to profiting from patent portfolios, Willey Intellectual Property Series, 2001
15. M. Marcus, B. Santorini, and M. A. Marcinkiewicz, Building a large annotated corpus of English:The PENN Treebank, Computational Linguistics, vol 19, 1993
16. www.patentcafe.com
17. L. Page, and S. Brin, The anatomy of a large-scale hypertextual Web search engine, Proc. of the seventh international conference on World Wide Web, pp107-117, 1998
18. B. Shaparenko, R. Caruana, J. Gehrke, and T. Jocachims, Identifying Temporal Patterns and Key Players in Document Collection, In Proceedings of the IEEE ICDM Workshop on Temporal Data Mining, Houston, TX, 2005
19. B. Shaparenko, and T. Joachims, Information Genealogy: Uncovering the Flow of Ideas in Non-Hyperlinked Document Databases, Proc. of ACM SIGKDD Conference, San Jose, CA, 2007
20. S. Shulman, Software Patents Tangle the Web, Technology Review, 2000
21. http://lucene.apache.org/solr/
22. http://www.uspto.gov
23. USPTO Performance and Accountability Report, 2008
24. B. Wang, M. Chu, J. Shyu, Patent value Measurement by Analytic Hierarchy Process, IAMOT (2006), Beijing, China