Technology Prospecting for High Tech Companies through Patent Mining

Bo Jin; Yong Ge; Hengshu Zhu; Li Guo; Hui Xiong; Chao Zhang

doi:10.1109/ICDM.2014.44

Technology Prospecting for High Tech Companies through Patent Mining

Bo Jin, Yong Ge, Hengshu Zhu, Li Guo, Hui Xiong, Chao Zhang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Scopus citations

Abstract

Technology prospecting is a process to evaluate the potential business values of high tech companies from the technology perspective. In this paper, we provide a new view-angle to understand technology prospecting by studying the evolving distributions of technologies in the companies. Specifically, we first exploit topic models to learn technological context in the form of probabilistic distributions of assignees and locations from large-scale patent documents. Then, we develop a matching solution to measure the relationships between patent topics and the description documents of technology terms. In this way, we can obtain the distribution of technologies for each company. In addition, we are able to assess the technology prospecting of a company by a designed indicator, which allows to compare the levels of discrepancies between the emerging technology distributions available as Garner Hype Cycles and the distribution of technologies of the company. Finally, experimental results on real-world patent data show the effectiveness of our approach for technology prospecting.

Original language	English (US)
Title of host publication	Proceedings - 14th IEEE International Conference on Data Mining, ICDM 2014
Editors	Ravi Kumar, Hannu Toivonen, Jian Pei, Joshua Zhexue Huang, Xindong Wu
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	220-229
Number of pages	10
Edition	January
ISBN (Electronic)	9781479943029
DOIs	https://doi.org/10.1109/ICDM.2014.44
State	Published - Jan 1 2014
Externally published	Yes
Event	14th IEEE International Conference on Data Mining, ICDM 2014 - Shenzhen, China Duration: Dec 14 2014 → Dec 17 2014

Publication series

Name	Proceedings - IEEE International Conference on Data Mining, ICDM
Number	January
Volume	2015-January
ISSN (Print)	1550-4786

Conference

Conference	14th IEEE International Conference on Data Mining, ICDM 2014
Country/Territory	China
City	Shenzhen
Period	12/14/14 → 12/17/14

Keywords

Hype Cycle
Patent Mining
Technology Prospecting
Topic Modeling

ASJC Scopus subject areas

General Engineering

Access to Document

10.1109/ICDM.2014.44

Cite this

Jin, B., Ge, Y., Zhu, H., Guo, L., Xiong, H., & Zhang, C. (2014). Technology Prospecting for High Tech Companies through Patent Mining. In R. Kumar, H. Toivonen, J. Pei, J. Zhexue Huang, & X. Wu (Eds.), Proceedings - 14th IEEE International Conference on Data Mining, ICDM 2014 (January ed., pp. 220-229). Article 7023339 (Proceedings - IEEE International Conference on Data Mining, ICDM; Vol. 2015-January, No. January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDM.2014.44

Technology Prospecting for High Tech Companies through Patent Mining. / Jin, Bo; Ge, Yong; Zhu, Hengshu et al.
Proceedings - 14th IEEE International Conference on Data Mining, ICDM 2014. ed. / Ravi Kumar; Hannu Toivonen; Jian Pei; Joshua Zhexue Huang; Xindong Wu. January. ed. Institute of Electrical and Electronics Engineers Inc., 2014. p. 220-229 7023339 (Proceedings - IEEE International Conference on Data Mining, ICDM; Vol. 2015-January, No. January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Jin, B, Ge, Y, Zhu, H, Guo, L, Xiong, H & Zhang, C 2014, Technology Prospecting for High Tech Companies through Patent Mining. in R Kumar, H Toivonen, J Pei, J Zhexue Huang & X Wu (eds), Proceedings - 14th IEEE International Conference on Data Mining, ICDM 2014. January edn, 7023339, Proceedings - IEEE International Conference on Data Mining, ICDM, no. January, vol. 2015-January, Institute of Electrical and Electronics Engineers Inc., pp. 220-229, 14th IEEE International Conference on Data Mining, ICDM 2014, Shenzhen, China, 12/14/14. https://doi.org/10.1109/ICDM.2014.44

Jin B, Ge Y, Zhu H, Guo L, Xiong H, Zhang C. Technology Prospecting for High Tech Companies through Patent Mining. In Kumar R, Toivonen H, Pei J, Zhexue Huang J, Wu X, editors, Proceedings - 14th IEEE International Conference on Data Mining, ICDM 2014. January ed. Institute of Electrical and Electronics Engineers Inc. 2014. p. 220-229. 7023339. (Proceedings - IEEE International Conference on Data Mining, ICDM; January). doi: 10.1109/ICDM.2014.44

Jin, Bo ; Ge, Yong ; Zhu, Hengshu et al. / Technology Prospecting for High Tech Companies through Patent Mining. Proceedings - 14th IEEE International Conference on Data Mining, ICDM 2014. editor / Ravi Kumar ; Hannu Toivonen ; Jian Pei ; Joshua Zhexue Huang ; Xindong Wu. January. ed. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 220-229 (Proceedings - IEEE International Conference on Data Mining, ICDM; January).

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abstract = "Technology prospecting is a process to evaluate the potential business values of high tech companies from the technology perspective. In this paper, we provide a new view-angle to understand technology prospecting by studying the evolving distributions of technologies in the companies. Specifically, we first exploit topic models to learn technological context in the form of probabilistic distributions of assignees and locations from large-scale patent documents. Then, we develop a matching solution to measure the relationships between patent topics and the description documents of technology terms. In this way, we can obtain the distribution of technologies for each company. In addition, we are able to assess the technology prospecting of a company by a designed indicator, which allows to compare the levels of discrepancies between the emerging technology distributions available as Garner Hype Cycles and the distribution of technologies of the company. Finally, experimental results on real-world patent data show the effectiveness of our approach for technology prospecting.",

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N2 - Technology prospecting is a process to evaluate the potential business values of high tech companies from the technology perspective. In this paper, we provide a new view-angle to understand technology prospecting by studying the evolving distributions of technologies in the companies. Specifically, we first exploit topic models to learn technological context in the form of probabilistic distributions of assignees and locations from large-scale patent documents. Then, we develop a matching solution to measure the relationships between patent topics and the description documents of technology terms. In this way, we can obtain the distribution of technologies for each company. In addition, we are able to assess the technology prospecting of a company by a designed indicator, which allows to compare the levels of discrepancies between the emerging technology distributions available as Garner Hype Cycles and the distribution of technologies of the company. Finally, experimental results on real-world patent data show the effectiveness of our approach for technology prospecting.

AB - Technology prospecting is a process to evaluate the potential business values of high tech companies from the technology perspective. In this paper, we provide a new view-angle to understand technology prospecting by studying the evolving distributions of technologies in the companies. Specifically, we first exploit topic models to learn technological context in the form of probabilistic distributions of assignees and locations from large-scale patent documents. Then, we develop a matching solution to measure the relationships between patent topics and the description documents of technology terms. In this way, we can obtain the distribution of technologies for each company. In addition, we are able to assess the technology prospecting of a company by a designed indicator, which allows to compare the levels of discrepancies between the emerging technology distributions available as Garner Hype Cycles and the distribution of technologies of the company. Finally, experimental results on real-world patent data show the effectiveness of our approach for technology prospecting.

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Technology Prospecting for High Tech Companies through Patent Mining

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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