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Titlebook: Current Challenges in Patent Information Retrieval; Mihai Lupu,Katja Mayer,Anthony J. Trippe Book 2017Latest edition Springer-Verlag GmbH

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發(fā)表于 2025-3-21 17:47:31 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Current Challenges in Patent Information Retrieval
編輯Mihai Lupu,Katja Mayer,Anthony J. Trippe
視頻videohttp://file.papertrans.cn/242/241141/241141.mp4
概述Provides a systematic introduction to the work and views of the emerging patent-search research and innovation community and the results achieved to date.Jointly written by members of the information
叢書(shū)名稱(chēng)The Information Retrieval Series
圖書(shū)封面Titlebook: Current Challenges in Patent Information Retrieval;  Mihai Lupu,Katja Mayer,Anthony J. Trippe Book 2017Latest edition Springer-Verlag GmbH
描述.This second edition provides a systematic introduction to the work and views of the emerging patent-search research and innovation communities as well as an overview of what has been achieved?and, perhaps even more importantly, of what remains to be achieved. It revises many of the contributions of the first edition and adds a significant number of new ones...The first part “Introduction to Patent Searching” includes two overview chapters on the peculiarities of patent searching and on contemporary search technology respectively, and thus sets the scene for the subsequent parts. The second part on “Evaluating Patent Retrieval” then begins with two chapters dedicated to patent evaluation campaigns, followed by two chapters discussing complementary issues from the perspective of patent searchers and from the perspective of related domains, notably legal search. “High Recall Search” includes four completely new chapters dealing with the issue of finding only the relevant documents in a reasonable time span. The last (and with six papers the largest) part on “Special Topics in Patent Information Retrieval” covers a large spectrum of research in the patent field, from classification an
出版日期Book 2017Latest edition
關(guān)鍵詞Information Retrieval; Knowledge Management; Patent Law; Text Processing; Legal Systems
版次2
doihttps://doi.org/10.1007/978-3-662-53817-3
isbn_softcover978-3-662-57164-4
isbn_ebook978-3-662-53817-3Series ISSN 1871-7500 Series E-ISSN 2730-6836
issn_series 1871-7500
copyrightSpringer-Verlag GmbH Germany 2017
The information of publication is updating

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https://doi.org/10.1007/978-3-030-35484-8the different forms of patent search. It goes on to describe the differences among different domains of patent search (engineering, chemicals, gene sequences and so on) and the tools currently used by searchers in each domain. It concludes with an overview of open issues.
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https://doi.org/10.1007/978-3-030-38581-1apping, network analysis and visual analytics applied to patent information retrieval and analysis. We also present a new global patent map and overlay technique and illustrative examples of its application. The concluding remarks offer considerations for future patent analysis and visualisation.
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https://doi.org/10.1007/978-3-030-39070-9at have arisen from the graphics recognition community and their application in the intellectual property domain. We will present an overview of the different steps that compound a flowchart recognition system, looking also at the achievements and remaining challenges in such a domain.
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Norway—The World Leader in BEV Adoptionn individual topics, mean effectiveness across topics and relative effectiveness across topics. Finally, we discuss our experiences with assessor error, which we have found has often had a larger impact than sampling error.
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An Introduction to Contemporary Search Technologyrchitectural components of a generic fulltext document search system and its design implications. We then describe how the underlying models define to a large extent what the system can and cannot do. This chapter concludes with a short introduction to semantic search and an outlook to the challenges in patent IR, the main subject of this book.
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