GA-based dissimilarity visualization engine for design patent map systems

Chao-Chun Chen, Rain Chen, Ding Chau Wang, Ting Ting Dai

研究成果: Conference contribution

1 引文 (Scopus)

摘要

Patent deployment has become a competition strength for companies. The intelligence property can keep the competition advantage of a company from opponents through the patent deployment which can be visualized by the patent map technique. The patent map is an important strategic tool for establishing design strategies. Our past efforts studied the display techniques in design patent map, and the comparisons of design patents in United States and Taiwan. Of types of patents, design patents occupy a unique patent field, since design patents are not as definitive as other patent fields. Therefore, the construction of design patent map is extremely difficult. Current commercial patent map systems visualize the patents according to non-populace attributes. However, such patent map systems are insufficient for providing more objective results from populace to support more powerful evidences in law courts. A key component to support the patent map system adopting the populace opinions is a fast dissimilarity visualization engine which can traslate the dissimilarity of patents from the populace opinions to a patent map. This paper presents a GA-based dissimilarity visualization engine for the above mentioned purpose. We design a set of crossover and multion operations based on the observations could generate patent maps with better quality. Our primary results reveal that the GA-based dissimilarity visualization engine indeed speeds up around 50% than the traditional method. Hence, such the engine is quite suitable for impatient users on the internet platform.

原文English
主出版物標題Proceedings of the 2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011
頁面595-600
頁數6
DOIs
出版狀態Published - 2011 十二月 1
事件2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011 - Malacca, Malaysia
持續時間: 2011 十二月 52011 十二月 8

出版系列

名字Proceedings of the 2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011

Other

Other2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011
國家Malaysia
城市Malacca
期間11-12-0511-12-08

指紋

Visualization
Engines
Industry
Display devices
Internet

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Information Systems

引用此文

Chen, C-C., Chen, R., Wang, D. C., & Dai, T. T. (2011). GA-based dissimilarity visualization engine for design patent map systems. 於 Proceedings of the 2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011 (頁 595-600). [6122172] (Proceedings of the 2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011). https://doi.org/10.1109/HIS.2011.6122172
Chen, Chao-Chun ; Chen, Rain ; Wang, Ding Chau ; Dai, Ting Ting. / GA-based dissimilarity visualization engine for design patent map systems. Proceedings of the 2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011. 2011. 頁 595-600 (Proceedings of the 2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011).
@inproceedings{7c8c28cabf234a139218fdf9cbf944e6,
title = "GA-based dissimilarity visualization engine for design patent map systems",
abstract = "Patent deployment has become a competition strength for companies. The intelligence property can keep the competition advantage of a company from opponents through the patent deployment which can be visualized by the patent map technique. The patent map is an important strategic tool for establishing design strategies. Our past efforts studied the display techniques in design patent map, and the comparisons of design patents in United States and Taiwan. Of types of patents, design patents occupy a unique patent field, since design patents are not as definitive as other patent fields. Therefore, the construction of design patent map is extremely difficult. Current commercial patent map systems visualize the patents according to non-populace attributes. However, such patent map systems are insufficient for providing more objective results from populace to support more powerful evidences in law courts. A key component to support the patent map system adopting the populace opinions is a fast dissimilarity visualization engine which can traslate the dissimilarity of patents from the populace opinions to a patent map. This paper presents a GA-based dissimilarity visualization engine for the above mentioned purpose. We design a set of crossover and multion operations based on the observations could generate patent maps with better quality. Our primary results reveal that the GA-based dissimilarity visualization engine indeed speeds up around 50{\%} than the traditional method. Hence, such the engine is quite suitable for impatient users on the internet platform.",
author = "Chao-Chun Chen and Rain Chen and Wang, {Ding Chau} and Dai, {Ting Ting}",
year = "2011",
month = "12",
day = "1",
doi = "10.1109/HIS.2011.6122172",
language = "English",
isbn = "9781457721502",
series = "Proceedings of the 2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011",
pages = "595--600",
booktitle = "Proceedings of the 2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011",

}

Chen, C-C, Chen, R, Wang, DC & Dai, TT 2011, GA-based dissimilarity visualization engine for design patent map systems. 於 Proceedings of the 2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011., 6122172, Proceedings of the 2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011, 頁 595-600, 2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011, Malacca, Malaysia, 11-12-05. https://doi.org/10.1109/HIS.2011.6122172

GA-based dissimilarity visualization engine for design patent map systems. / Chen, Chao-Chun; Chen, Rain; Wang, Ding Chau; Dai, Ting Ting.

Proceedings of the 2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011. 2011. p. 595-600 6122172 (Proceedings of the 2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011).

研究成果: Conference contribution

TY - GEN

T1 - GA-based dissimilarity visualization engine for design patent map systems

AU - Chen, Chao-Chun

AU - Chen, Rain

AU - Wang, Ding Chau

AU - Dai, Ting Ting

PY - 2011/12/1

Y1 - 2011/12/1

N2 - Patent deployment has become a competition strength for companies. The intelligence property can keep the competition advantage of a company from opponents through the patent deployment which can be visualized by the patent map technique. The patent map is an important strategic tool for establishing design strategies. Our past efforts studied the display techniques in design patent map, and the comparisons of design patents in United States and Taiwan. Of types of patents, design patents occupy a unique patent field, since design patents are not as definitive as other patent fields. Therefore, the construction of design patent map is extremely difficult. Current commercial patent map systems visualize the patents according to non-populace attributes. However, such patent map systems are insufficient for providing more objective results from populace to support more powerful evidences in law courts. A key component to support the patent map system adopting the populace opinions is a fast dissimilarity visualization engine which can traslate the dissimilarity of patents from the populace opinions to a patent map. This paper presents a GA-based dissimilarity visualization engine for the above mentioned purpose. We design a set of crossover and multion operations based on the observations could generate patent maps with better quality. Our primary results reveal that the GA-based dissimilarity visualization engine indeed speeds up around 50% than the traditional method. Hence, such the engine is quite suitable for impatient users on the internet platform.

AB - Patent deployment has become a competition strength for companies. The intelligence property can keep the competition advantage of a company from opponents through the patent deployment which can be visualized by the patent map technique. The patent map is an important strategic tool for establishing design strategies. Our past efforts studied the display techniques in design patent map, and the comparisons of design patents in United States and Taiwan. Of types of patents, design patents occupy a unique patent field, since design patents are not as definitive as other patent fields. Therefore, the construction of design patent map is extremely difficult. Current commercial patent map systems visualize the patents according to non-populace attributes. However, such patent map systems are insufficient for providing more objective results from populace to support more powerful evidences in law courts. A key component to support the patent map system adopting the populace opinions is a fast dissimilarity visualization engine which can traslate the dissimilarity of patents from the populace opinions to a patent map. This paper presents a GA-based dissimilarity visualization engine for the above mentioned purpose. We design a set of crossover and multion operations based on the observations could generate patent maps with better quality. Our primary results reveal that the GA-based dissimilarity visualization engine indeed speeds up around 50% than the traditional method. Hence, such the engine is quite suitable for impatient users on the internet platform.

UR - http://www.scopus.com/inward/record.url?scp=84863020426&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84863020426&partnerID=8YFLogxK

U2 - 10.1109/HIS.2011.6122172

DO - 10.1109/HIS.2011.6122172

M3 - Conference contribution

AN - SCOPUS:84863020426

SN - 9781457721502

T3 - Proceedings of the 2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011

SP - 595

EP - 600

BT - Proceedings of the 2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011

ER -

Chen C-C, Chen R, Wang DC, Dai TT. GA-based dissimilarity visualization engine for design patent map systems. 於 Proceedings of the 2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011. 2011. p. 595-600. 6122172. (Proceedings of the 2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011). https://doi.org/10.1109/HIS.2011.6122172