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Titlebook: Digital Libraries for Open Knowledge; 22nd International C Eva Méndez,Fabio Crestani,Jo?o Correia Lopes Conference proceedings 2018 Springe

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發(fā)表于 2025-3-21 19:40:36 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Digital Libraries for Open Knowledge
副標題22nd International C
編輯Eva Méndez,Fabio Crestani,Jo?o Correia Lopes
視頻videohttp://file.papertrans.cn/280/279505/279505.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Digital Libraries for Open Knowledge; 22nd International C Eva Méndez,Fabio Crestani,Jo?o Correia Lopes Conference proceedings 2018 Springe
描述This book constitutes the proceedings of the 22nd InternationalConference ?on Theory and Practice of Digital Libraries, TPDL 2018, heldin Porto, Portugal, in September 2018. The 51 full papers, 17 short papers, and 13 poster and tutorial papers presented in this volume werecarefully reviewed and selected from 81 submissions.?The general theme of TPDL 2018 was Digital Libraries for Open Knowledge. The papers present a wide range of the following topics: Metadata, Entity Disambiguation, Data Management, Scholarly Communication, Digital Humanities, User Interaction, Resources, Information Extraction, Information Retrieval, Recommendation.?.
出版日期Conference proceedings 2018
關鍵詞artificial intelligence; digital libraries; internet; learning algorithms; linked data; natural language
版次1
doihttps://doi.org/10.1007/978-3-030-00066-0
isbn_softcover978-3-030-00065-3
isbn_ebook978-3-030-00066-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2018
The information of publication is updating

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Harnessing Historical Corrections to Build Test Collections for Named Entity Disambiguation been working on algorithms to create this matching for decades without finding a universal solution. One problem is that test collections for this problem are often small and specific to a certain collection. In this work, we present an approach that can create large test collections from historica
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Homonym Detection in Curated Bibliographies: Learning from dblp’s Experienceies like the .. In this paper, we present a machine learning approach to identify homonymous profiles. We train our model on a novel gold-standard data set derived from the past years of active, manual curation at dblp.
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Research Data Preservation Using Process Engines and Machine-Actionable Data Management Planshat prescribe how data should be managed, shared and preserved. In most cases this has to be documented in data management plans. When data is selected and moved into a repository when project ends, it is often hard for researchers to identify which files need to be preserved and where they are loca
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Maturity Models for Data and Information Managementesents a path towards an increasingly organized and systematic way of doing business. A maturity assessment can be used to measure the current maturity level of a certain aspect of an organization in a meaningful way, enabling stakeholders to clearly identify strengths and improvement points, and ac
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Unveiling Scholarly Communities over Knowledge Graphsd in knowledge graphs enables the implementation of knowledge-driven tasks such as semantic retrieval, query processing, and question answering, as well as solutions to knowledge discovery tasks including pattern discovery and link prediction. In this paper, we tackle the problem of knowledge discov
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Metadata Analysis of Scholarly Events of Computer Science, Physics, Engineering, and Mathematicsts such as conferences, workshops or symposia are among the most popular channels, especially in computer science, natural sciences, and technology. To obtain a better understanding of scholarly communication in different fields and the role of scientific events, metadata of scientific events of fou
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