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Semantic Keyword-Based Search on Structured Data Sources

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Cover of 'Semantic Keyword-Based Search on Structured Data Sources'

Table of Contents

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    Book Overview
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    Chapter 1 Retrieval, Crawling and Fusion of Entity-centric Data on the Web
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    Chapter 2 Data Multiverse: The Uncertainty Challenge of Future Big Data Analytics
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    Chapter 3 Experiments with Document Retrieval from Small Text Collections Using Latent Semantic Analysis or Term Similarity with Query Coordination and Automatic Relevance Feedback
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    Chapter 4 Unsupervised Extraction of Conceptual Keyphrases from Abstracts
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    Chapter 5 Back to the Sketch-Board: Integrating Keyword Search, Semantics, and Information Retrieval
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    Chapter 6 Topic Detection in Multichannel Italian Newspapers
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    Chapter 7 Random Walks Analysis on Graph Modelled Multimodal Collections
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    Chapter 8 A Software Processing Chain for Evaluating Thesaurus Quality
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    Chapter 9 Comparison of Collaborative and Content-Based Automatic Recommendation Approaches in a Digital Library of Serbian PhD Dissertations
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    Chapter 10 Keyword-Based Search on Bilingual Digital Libraries
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    Chapter 11 Network-Enabled Keyword Extraction for Under-Resourced Languages
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    Chapter 12 Making Sense of Citations
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    Chapter 13 An Ontology-Based Approach to Information Retrieval
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    Chapter 14 Game with a Purpose for Verification of Mappings Between Wikipedia and WordNet
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    Chapter 15 TB-Structure: Collective Intelligence for Exploratory Keyword Search
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    Chapter 16 Using Natural Language to Search Linked Data
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    Chapter 17 The Use of Semantics in the CrossCult H2020 Project
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Title
Semantic Keyword-Based Search on Structured Data Sources
Published by
Springer International Publishing, February 2017
DOI 10.1007/978-3-319-53640-8
ISBNs
978-3-31-953639-2, 978-3-31-953640-8
Editors

Calì, Andrea, Gorgan, Dorian, Ugarte, Martín

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 33%
Student > Ph. D. Student 1 17%
Student > Bachelor 1 17%
Student > Master 1 17%
Unknown 1 17%
Readers by discipline Count As %
Computer Science 3 50%
Social Sciences 1 17%
Engineering 1 17%
Unknown 1 17%