TY - GEN
T1 - Automated patent document summarization for R&D intellectual property management
AU - Trappey, Amy J.C.
AU - Trappey, Charles V.
AU - Kao, Burgess H.S.
PY - 2006/12/1
Y1 - 2006/12/1
N2 - In an era of rapid information expansion, people encounter huge amounts of intellectual property (IP) such as patents in digital format. These documents are usually too numerous to be fully utilized in R&D for new product designs. Therefore, efficient and effective ways of acquiring, organizing and presenting IPs (e.g., patent documents) have become very important for enterprises. In this paper, we propose a patent document summarization System using an integrated approach of key-phrase recognition and significant information density, Significant information density or information mass is calculated based on the summation of key-phrases, their relevant phrases, title phrases, domain-specific phrases, indicator phrases and topic sentences, divided by the total number of phrases in a paragraph or a document. External text mining game, compression ratio and retention ratio are used in system experiment and evaluation. This research enables enterprises to organize knowledge and intellectual assets efficiently and to peruse IP documents effectively.
AB - In an era of rapid information expansion, people encounter huge amounts of intellectual property (IP) such as patents in digital format. These documents are usually too numerous to be fully utilized in R&D for new product designs. Therefore, efficient and effective ways of acquiring, organizing and presenting IPs (e.g., patent documents) have become very important for enterprises. In this paper, we propose a patent document summarization System using an integrated approach of key-phrase recognition and significant information density, Significant information density or information mass is calculated based on the summation of key-phrases, their relevant phrases, title phrases, domain-specific phrases, indicator phrases and topic sentences, divided by the total number of phrases in a paragraph or a document. External text mining game, compression ratio and retention ratio are used in system experiment and evaluation. This research enables enterprises to organize knowledge and intellectual assets efficiently and to peruse IP documents effectively.
KW - Document summarization
KW - Information density
KW - Intellectual property
KW - Text mining
UR - http://www.scopus.com/inward/record.url?scp=34547681959&partnerID=8YFLogxK
U2 - 10.1109/CSCWD.2006.253004
DO - 10.1109/CSCWD.2006.253004
M3 - Conference contribution
AN - SCOPUS:34547681959
SN - 1424401658
SN - 9781424401659
T3 - Proceedings - 2006 10th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2006
SP - 1031
EP - 1036
BT - Proceedings - 2006 10th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2006
Y2 - 3 May 2006 through 5 May 2006
ER -