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Digital Libraries: The Era of Big Data and Data Science

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Cover of 'Digital Libraries: The Era of Big Data and Data Science'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Reproducibility of the Neural Vector Space Model via Docker
  3. Altmetric Badge
    Chapter 2 Towards a Decision Support Framework for Forensic Analysis of Dynamic Signatures
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    Chapter 3 An Information Visualization Tool for the Interactive Component-Based Evaluation of Search Engines
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    Chapter 4 3D Average Common Submatrix Measure
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    Chapter 5 Lost in Translation: Can We Talk About Big Data Fairly?
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    Chapter 6 An Ontology and Knowledge Graph Infrastructure for Digital Library Knowledge Representation
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    Chapter 7 Text-to-Image Synthesis Based on Machine Generated Captions
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    Chapter 8 A Streamlined Pipeline to Enable the Semantic Exploration of a Bookstore
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    Chapter 9 Re-implementing and Extending Relation Network for R-CBIR
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    Chapter 10 Actual Researcher Contribution (ARC) Versus the Perceived Contribution to the Scientific Body of Knowledge
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    Chapter 11 Towards a Tool for Visual Link Retrieval and Knowledge Discovery in Painting Datasets
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    Chapter 12 Identifying, Classifying and Searching Graphic Symbols in the NOTAE System
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    Chapter 13 TindArt, an Experiment on User Profiling for Museum Applications
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    Chapter 14 Recognition of Concordances for Indexing in Digital Libraries
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    Chapter 15 RepOSGate: Open Science Gateways for Institutional Repositories
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    Chapter 16 Training Data Stewards in Italy: Reflection on the FAIR RDM Summer School
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    Chapter 17 Creating Digital Cultural Heritage with Open Data: From FAIR to FAIR 5 Principles
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    Chapter 18 Nanocitation : Complete and Interoperable Citations of Nanopublications
Attention for Chapter 6: An Ontology and Knowledge Graph Infrastructure for Digital Library Knowledge Representation
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Chapter title
An Ontology and Knowledge Graph Infrastructure for Digital Library Knowledge Representation
Chapter number 6
Book title
Digital Libraries: The Era of Big Data and Data Science
Published by
Springer, Cham, January 2020
DOI 10.1007/978-3-030-39905-4_6
Book ISBNs
978-3-03-039904-7, 978-3-03-039905-4
Authors

Stefano Ferilli, Domenico Redavid, Ferilli, Stefano, Redavid, Domenico

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Librarian 4 11%
Student > Bachelor 2 5%
Lecturer 1 3%
Professor 1 3%
Student > Ph. D. Student 1 3%
Other 1 3%
Unknown 28 74%
Readers by discipline Count As %
Computer Science 3 8%
Arts and Humanities 2 5%
Social Sciences 1 3%
Medicine and Dentistry 1 3%
Unknown 31 82%