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Digital Libraries for Open Knowledge

Overview of attention for book
Cover of 'Digital Libraries for Open Knowledge'

Table of Contents

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    Book Overview
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    Chapter 1 Requirements Analysis for an Open Research Knowledge Graph
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    Chapter 2 Question Answering on Scholarly Knowledge Graphs
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    Chapter 3 Context-Compatible Information Fusion for Scientific Knowledge Graphs
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    Chapter 4 VeTo: Expert Set Expansion in Academia
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    Chapter 5 An Observational Study of Equivalence Links in Cultural Heritage Linked Data for agents
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    Chapter 6 Correspondence as the Primary Measure of Quality for Web Archives: A Grounded Theory Study
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    Chapter 7 Assessing and Minimizing the Impact of OCR Quality on Named Entity Recognition
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    Chapter 8 On the Persistence of Persistent Identifiers of the Scholarly Web
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    Chapter 9 Ontology Design for Pharmaceutical Research Outcomes
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    Chapter 10 ArchOnto, a CIDOC-CRM-Based Linked Data Model for the Portuguese Archives
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    Chapter 11 Knowledge-Based Categorization of Scientific Articles for Similarity Predictions
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    Chapter 12 Participatory Indexing in the Eyes of Its Potential Users: An Example of a Co-design of Participatory Services in an Academic Digital Library
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    Chapter 13 Understanding User Behavior in Digital Libraries Using the MAGUS Session Visualization Tool
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    Chapter 14 Characteristics of Dataset Retrieval Sessions: Experiences from a Real-Life Digital Library
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    Chapter 15 Context-Driven Discoverability of Research Data
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    Chapter 16 Management of Research Data in Image Format: An Exploratory Study on Current Practices
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    Chapter 17 Layout Detection and Table Recognition – Recent Challenges in Digitizing Historical Documents and Handwritten Tabular Data
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    Chapter 18 Online News Monitoring for Enhanced Reuse of Audiovisual Archives
Attention for Chapter 15: Context-Driven Discoverability of Research Data
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Chapter title
Context-Driven Discoverability of Research Data
Chapter number 15
Book title
Digital Libraries for Open Knowledge
Published by
Springer, Cham, August 2020
DOI 10.1007/978-3-030-54956-5_15
Book ISBNs
978-3-03-054955-8, 978-3-03-054956-5

Miriam Baglioni, Paolo Manghi, Andrea Mannocci, Baglioni, Miriam, Manghi, Paolo, Mannocci, Andrea

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Researcher 1 50%
Readers by discipline Count As %
Earth and Planetary Sciences 2 100%