Improving transparency and reproducibility of patent landscapes: the Reporting Items for Patent Landscapes (RIPL) statement and other considerations (English)
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https://orcid.org/0000-0003-2634-0268
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In:
World Patent Information
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62
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2020
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ISSN:
- Article (Journal) / Electronic Resource
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Title:Improving transparency and reproducibility of patent landscapes: the Reporting Items for Patent Landscapes (RIPL) statement and other considerations
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Contributors:Smith, James A. ( author )
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Published in:
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Publication date:2020-07-28
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents – Volume 62
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
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News on patent, trade mark and design databases on the internetEagle, Philip et al. | 2020
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Identify trademark legal case precedents - Using machine learning to enable semantic analysis of judgmentsTrappey, Charles V. / Trappey, Amy J.C. / Liu, Bo-Hung et al. | 2020
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Improving transparency and reproducibility of patent landscapes: the Reporting Items for Patent Landscapes (RIPL) statement and other considerationsSmith, James A. et al. | 2020
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IP lifecycle management using blockchain and machine learning: Application to 3D printing datafilesRagot, Sébastien / Rey, Antje / Shafai, Ramin et al. | 2020
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A critical appraisal of IBM’S patent pledge model: The impact of patent quality on open source software START-UP’S market entry decisionKim, Yeongsu (Anthony) et al. | 2020
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Editorial: An analysis of World Patent Information publications from 2014 to 2020List, Jane / Lai, Mei Yun / Moehrle, Martin G. / Trappey, Amy et al. | 2020
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Identifying tacit university-industry collaborations in Chinese patents based on inventor-author analysisZhu, Rong-hui / Liu, Shu-lin et al. | 2020
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Patent claim generation by fine-tuning OpenAI GPT-2Lee, Jieh-Sheng / Hsiang, Jieh et al. | 2020
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Literature ListingBates, Susan et al. | 2020
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The sectoral dynamics of the protection of biotechnology in BrazilFlorêncio, Márcio Nannini da Silva / Abud, Ana Karla de Souza / Costa, Benedita Marta Gomes / PhD Oliveira Junior, Antonio Martins et al. | 2020
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Patenting patterns in Artificial Intelligence: Identifying national and international breeding groundsLeusin, Matheus Eduardo / Günther, Jutta / Jindra, Björn / Moehrle, Martin G. et al. | 2020
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Editorial Board| 2020