Article

Knowledge discovery in patent databases

Authors:

Konstantinos Markellos,

Athanasios TsakalidisAuthors Info & Claims

CIKM '02: Proceedings of the eleventh international conference on Information and knowledge management

Pages 672 - 674

https://doi.org/10.1145/584792.584915

Published: 04 November 2002 Publication History

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Abstract

In our days the business, scientific and personal databases are growing in an exponential rate. However, what is truly valuable is the knowledge that can be extracted from the stored data. Knowledge Discovery in patent databases was traditionally based on manual analysis carried out from statistical experts. Nowadays the increasing interest of many actors have led to the development of new tools for discovering and exploiting information related to technological activities and innovation, "hidden" in patent databases. In this paper we present a system that combines efficient and innovative methodologies and tools for the analysis of patent data stored in international databases and the production of scientific and technological indicators.

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Cited By

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da Cruz Filho PNunes DMalta Santos HSantos AMachado B(2023)From Patents to Progress: Genetic Algorithms in Harmonic Distortion Monitoring TechnologyEnergies10.3390/en1624800216:24(8002)Online publication date: 11-Dec-2023
https://doi.org/10.3390/en16248002
Chi YWang H(2022)Establish a patent risk prediction model for emerging technologies using deep learning and data augmentationAdvanced Engineering Informatics10.1016/j.aei.2021.10150952:COnline publication date: 1-Apr-2022
https://dl.acm.org/doi/10.1016/j.aei.2021.101509
Ampornphan PTongngam S(2020)Exploring Technology Influencers from Patent Data Using Association Rule Mining and Social Network AnalysisInformation10.3390/info1106033311:6(333)Online publication date: 22-Jun-2020
https://doi.org/10.3390/info11060333
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Index Terms

Knowledge discovery in patent databases
1. Software and its engineering

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Information & Contributors

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Published In

CIKM '02: Proceedings of the eleventh international conference on Information and knowledge management

November 2002

704 pages

ISBN:1581134924

DOI:10.1145/584792

General Chair:
Charles Nicholas
University of Maryland Baltimore County
,
Program Chairs:
David Grossman
Illinois Institute of Technology
,
Konstantinos Kalpakis
University of Maryland Baltimore County
,
Sajda Qureshi
Erasmus University, Rotterdam
,
Han van Dissel
Erasmus University, Rotterdam
,
Len Seligman
The MITRE Corporation

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 November 2002

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CIKM02

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CIKM02: Eleventh ACM International Conference on Information and Knowledge Management

November 4 - 9, 2002

Virginia, McLean, USA

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Cited By

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da Cruz Filho PNunes DMalta Santos HSantos AMachado B(2023)From Patents to Progress: Genetic Algorithms in Harmonic Distortion Monitoring TechnologyEnergies10.3390/en1624800216:24(8002)Online publication date: 11-Dec-2023
https://doi.org/10.3390/en16248002
Chi YWang H(2022)Establish a patent risk prediction model for emerging technologies using deep learning and data augmentationAdvanced Engineering Informatics10.1016/j.aei.2021.10150952:COnline publication date: 1-Apr-2022
https://dl.acm.org/doi/10.1016/j.aei.2021.101509
Ampornphan PTongngam S(2020)Exploring Technology Influencers from Patent Data Using Association Rule Mining and Social Network AnalysisInformation10.3390/info1106033311:6(333)Online publication date: 22-Jun-2020
https://doi.org/10.3390/info11060333
Souza CSantos MMeireles MAlmeida P(2019)Using Summarization Techniques on Patent Database Through Computational IntelligenceProgress in Artificial Intelligence10.1007/978-3-030-30244-3_42(508-519)Online publication date: 30-Aug-2019
https://doi.org/10.1007/978-3-030-30244-3_42
Xiaoguang LXiang WYong YZunshuang H(2016)Construction of the Patent Data Resource Service Center2016 3rd International Conference on Information Science and Control Engineering (ICISCE)10.1109/ICISCE.2016.69(282-284)Online publication date: Jul-2016
https://doi.org/10.1109/ICISCE.2016.69
Jin BGe YZhu HGuo LXiong HZhang C(2014)Technology Prospecting for High Tech Companies through Patent MiningProceedings of the 2014 IEEE International Conference on Data Mining10.1109/ICDM.2014.44(220-229)Online publication date: 14-Dec-2014
https://dl.acm.org/doi/10.1109/ICDM.2014.44
Hido SSuzuki SNishiyama RImamichi TTakahashi RNasukawa TId^|^eacute; TKanehira YYohda RUeno TTajima AWatanabe T(2012)Modeling Patent Quality: A System for Large-scale Patentability Analysis using Text MiningJournal of Information Processing10.2197/ipsjjip.20.65520:3(655-666)Online publication date: 2012
https://doi.org/10.2197/ipsjjip.20.655
Mukherjea SBamba BKankar P(2005)Information Retrieval and Knowledge Discovery Utilizing a BioMedical Patent Semantic WebIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2005.13017:8(1099-1110)Online publication date: 1-Aug-2005
https://dl.acm.org/doi/10.1109/TKDE.2005.130
Mukherjea SBamba B(2004)BioPatentMinerProceedings of the Thirtieth international conference on Very large data bases - Volume 3010.5555/1316689.1316781(1066-1077)Online publication date: 31-Aug-2004
https://dl.acm.org/doi/10.5555/1316689.1316781

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