poster

PatentLine: analyzing technology evolution on multi-view patent graphs

Authors:

Qi ZhangAuthors Info & Claims

SIGIR '14: Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval

Pages 1095 - 1098

https://doi.org/10.1145/2600428.2609518

Published: 03 July 2014 Publication History

Abstract

The fast growth of technologies has driven the advancement of our society. It is often necessary to quickly grab the evolution of technologies in order to better understand the technology trend. The availability of huge volumes of granted patent documents provides a reasonable basis for analyzing technology evolution. In this paper, we propose a unified framework, named PatentLine, to generate a technology evolution tree for a given topic or a classification code related to granted patents. The framework integrates different types of patent information, including patent content, citations of patents, temporal relations, etc., and provides a concise yet comprehensive evolution summary. The generated summary enables a variety of patent-related analyses such as identifying relevant prior art and detecting technology gap. A case study on a collection of US patents demonstrates the efficacy of our proposed framework.

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Cited By

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
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
https://dl.acm.org/doi/10.1145/3596603
Borregan-Alvarado JAlvarez-Meaza ICilleruelo-Carrasco EGarechana-Anacabe G(2022)Mapping Technological Profile of Collaborative Robots by Patent AnalysisInternational Journal of Human–Computer Interaction10.1080/10447318.2022.210864039:20(3920-3935)Online publication date: 21-Aug-2022
https://doi.org/10.1080/10447318.2022.2108640
Show More Cited By

Index Terms

PatentLine: analyzing technology evolution on multi-view patent graphs
1. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Document filtering
      2. Information extraction

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Published In

cover image ACM Conferences

SIGIR '14: Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval

July 2014

1330 pages

ISBN:9781450322577

DOI:10.1145/2600428

General Chairs:
Shlomo Geva
Queensland University of Technology
,
Andrew Trotman
University of Dunedin
,
Program Chairs:
Peter Bruza
Queensland University of Technology
,
Charles L.A. Clarke
University of Waterloo
,
Kal Järvelin
University of Tampere

Copyright © 2014 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGIR: ACM Special Interest Group on Information Retrieval

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 July 2014

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SIGIR '14: The 37th International ACM SIGIR Conference on Research and Development in Information Retrieval

July 6 - 11, 2014

Queensland, Gold Coast, Australia

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SIGIR '14 Paper Acceptance Rate 82 of 387 submissions, 21%;

Overall Acceptance Rate 792 of 3,983 submissions, 20%

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Cited By

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
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
https://dl.acm.org/doi/10.1145/3596603
Borregan-Alvarado JAlvarez-Meaza ICilleruelo-Carrasco EGarechana-Anacabe G(2022)Mapping Technological Profile of Collaborative Robots by Patent AnalysisInternational Journal of Human–Computer Interaction10.1080/10447318.2022.210864039:20(3920-3935)Online publication date: 21-Aug-2022
https://doi.org/10.1080/10447318.2022.2108640
Liu YWu HHuang ZWang HMa JLiu QChen ETao HRui K(2020)Technical Phrase Extraction for Patent Mining: A Multi-level Approach2020 IEEE International Conference on Data Mining (ICDM)10.1109/ICDM50108.2020.00139(1142-1147)Online publication date: Nov-2020
https://doi.org/10.1109/ICDM50108.2020.00139
Lu WMa PYu JZhou YWei B(2019)Metro maps for efficient knowledge learning by summarizing massive electronic textbooksInternational Journal on Document Analysis and Recognition10.1007/s10032-019-00319-y22:2(99-111)Online publication date: 1-Jun-2019
https://dl.acm.org/doi/10.1007/s10032-019-00319-y
Zhang LLi LLi T(2015)Patent MiningACM SIGKDD Explorations Newsletter10.1145/2783702.278370416:2(1-19)Online publication date: 21-May-2015
https://dl.acm.org/doi/10.1145/2783702.2783704
Zhang LLi LLi TWang DLi JWang XGarofalakis MSoboroff ISuel TWang M(2014)PatentDomProceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management10.1145/2661829.2662031(1369-1378)Online publication date: 3-Nov-2014
https://dl.acm.org/doi/10.1145/2661829.2662031

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