column

Patent Mining: A Survey

Authors:

Tao LiAuthors Info & Claims

ACM SIGKDD Explorations Newsletter, Volume 16, Issue 2

Pages 1 - 19

https://doi.org/10.1145/2783702.2783704

Published: 21 May 2015 Publication History

Abstract

Patent documents are important intellectual resources of protecting interests of individuals, organizations and companies. Different from general web documents, patent documents have a well-defined format including frontpage, description, nclaims, and figures. However, they are lengthy and rich in technical terms, which requires enormous human efforts for analysis. Hence, a new research area, called patent mining, emerges in recent years, aiming to assist patent analysts in investigating, processing, and analyzing patent documents. Despite the recent advances in patent mining, it is still far from being well explored in research communities. To help patent analysts and interested readers obtain a big picture of patent mining, we thus provide a systematic summary of existing research efforts along this direction. In this survey, we first present an overview of the technical trend in patent mining. We then investigate multiple research questions related to patent documents, including patent retrieval, patent classification, and patent visualization, and provide summaries and highlights for each question by delving into the corresponding research efforts.

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Index Terms

Patent Mining: A Survey
1. General and reference
  1. Document types
    1. Surveys and overviews
2. Information systems
  1. Information retrieval
  2. Information systems applications
    1. Data mining

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Information & Contributors

Information

Published In

cover image ACM SIGKDD Explorations Newsletter

ACM SIGKDD Explorations Newsletter Volume 16, Issue 2

December 2014

49 pages

ISSN:1931-0145

EISSN:1931-0153

DOI:10.1145/2783702

Editors:
Charu Aggarwal
IBM T.J. Watson
,
Haixun Wang
Google
,
Ankur M. Teredesai
University of Washington Tacoma
,
Hanghang Tong
Arizona State University

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Copyright © 2015 Authors.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 May 2015

Published in SIGKDD Volume 16, Issue 2

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Li SLi ZTang YZhao WKang XZheng LYu Z(2024)Pioneering Technology Mining Research for New Technology Strategic PlanningSustainability10.3390/su1615658916:15(6589)Online publication date: 1-Aug-2024
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Ali ATufail ADe Silva LAbas P(2024)Innovating Patent Retrieval: A Comprehensive Review of Techniques, Trends, and Challenges in Prior Art SearchesApplied System Innovation10.3390/asi70500917:5(91)Online publication date: 26-Sep-2024
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Zou TYu LSun LDu BWang DZhuang F(2024)Event-Based Dynamic Graph Representation Learning for Patent Application Trend PredictionIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2023.3312333(1-13)Online publication date: 2024
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Helal MHelal M(2024)Graph-Based Patent Mining for Mechanical Designs2024 14th International Conference on Electrical Engineering (ICEENG)10.1109/ICEENG58856.2024.10566338(282-287)Online publication date: 21-May-2024
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Zheng QGuo KXu L(2024)A large-scale Chinese patent dataset for information extractionSystems Science & Control Engineering10.1080/21642583.2024.236532812:1Online publication date: 13-Jun-2024
https://doi.org/10.1080/21642583.2024.2365328
Kamateri ESalampasis MPerez-Molina E(2024)Will AI solve the patent classification problem?World Patent Information10.1016/j.wpi.2024.10229478(102294)Online publication date: Sep-2024
https://doi.org/10.1016/j.wpi.2024.102294
Zhou PJiang XZhao S(2024)Unsupervised technical phrase extraction by incorporating structure and position informationExpert Systems with Applications10.1016/j.eswa.2024.123140(123140)Online publication date: Jan-2024
https://doi.org/10.1016/j.eswa.2024.123140
Kwak HLee S(2024)A Study on the Impact of Green Patent Data on ESG Environment IndicatorsBig Data and Data Science Engineering10.1007/978-3-031-53385-3_15(183-196)Online publication date: 13-Mar-2024
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Liu YWu HHuang ZWang HNing YMa JLiu QChen E(2023)TechPat: Technical Phrase Extraction for Patent MiningACM Transactions on Knowledge Discovery from Data10.1145/359660317:9(1-31)Online publication date: 15-Jun-2023
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