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The Semantic Web

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Cover of 'The Semantic Web'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Handling Impossible Derivations During Stream Reasoning
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    Chapter 2 Modular Graphical Ontology Engineering Evaluated
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    Chapter 3 Fast and Exact Rule Mining with AMIE 3
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    Chapter 4 A Simple Method for Inducing Class Taxonomies in Knowledge Graphs
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    Chapter 5 Hybrid Reasoning Over Large Knowledge Bases Using On-The-Fly Knowledge Extraction
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    Chapter 6 Partial Domain Adaptation for Relation Extraction Based on Adversarial Learning
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    Chapter 7 SASOBUS: Semi-automatic Sentiment Domain Ontology Building Using Synsets
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    Chapter 8 Keyword Search over RDF Using Document-Centric Information Retrieval Systems
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    Chapter 9 Entity Linking and Lexico-Semantic Patterns for Ontology Learning
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    Chapter 10 Estimating Characteristic Sets for RDF Dataset Profiles Based on Sampling
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    Chapter 11 SchemaTree: Maximum-Likelihood Property Recommendation for Wikidata
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    Chapter 12 Hyperbolic Knowledge Graph Embeddings for Knowledge Base Completion
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    Chapter 13 Unsupervised Bootstrapping of Active Learning for Entity Resolution
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    Chapter 14 Processing SPARQL Aggregate Queries with Web Preemption
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    Chapter 15 Embedding-Based Recommendations on Scholarly Knowledge Graphs
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    Chapter 16 Investigating Software Usage in the Social Sciences: A Knowledge Graph Approach
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    Chapter 17 Fostering Scientific Meta-analyses with Knowledge Graphs: A Case-Study
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    Chapter 18 SAShA: Semantic-Aware Shilling Attacks on Recommender Systems Exploiting Knowledge Graphs
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    Chapter 19 Entity Extraction from Wikipedia List Pages
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    Chapter 20 The Knowledge Graph Track at OAEI
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    Chapter 21 Detecting Synonymous Properties by Shared Data-Driven Definitions
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    Chapter 22 Entity Summarization with User Feedback
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    Chapter 23 Incremental Multi-source Entity Resolution for Knowledge Graph Completion
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    Chapter 24 Building Linked Spatio-Temporal Data from Vectorized Historical Maps
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    Chapter 25 QAnswer KG: Designing a Portable Question Answering System over RDF Data
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    Chapter 26 Equivalent Rewritings on Path Views with Binding Patterns
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    Chapter 27 A Knowledge Graph for Industry 4.0
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    Chapter 28 MetaLink: A Travel Guide to the LOD Cloud
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    Chapter 29 Astrea: Automatic Generation of SHACL Shapes from Ontologies
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    Chapter 30 SemTab 2019: Resources to Benchmark Tabular Data to Knowledge Graph Matching Systems
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    Chapter 31 VQuAnDa: Verbalization QUestion ANswering DAtaset
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    Chapter 32 ESBM: An Entity Summarization BenchMark
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    Chapter 33 GEval: A Modular and Extensible Evaluation Framework for Graph Embedding Techniques
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    Chapter 34 YAGO 4: A Reason-able Knowledge Base
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    Chapter 35 On Modeling the Physical World as a Collection of Things: The W3C Thing Description Ontology
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    Chapter 36 Applying Knowledge Graphs as Integrated Semantic Information Model for the Computerized Engineering of Building Automation Systems
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    Chapter 37 Supporting Complex Decision Making by Semantic Technologies
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    Chapter 38 Piveau: A Large-Scale Open Data Management Platform Based on Semantic Web Technologies
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    Chapter 39 StreamPipes Connect: Semantics-Based Edge Adapters for the IIoT
Attention for Chapter 38: Piveau: A Large-Scale Open Data Management Platform Based on Semantic Web Technologies
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Chapter title
Piveau: A Large-Scale Open Data Management Platform Based on Semantic Web Technologies
Chapter number 38
Book title
The Semantic Web
Published by
Springer, Cham, May 2020
DOI 10.1007/978-3-030-49461-2_38
Book ISBNs
978-3-03-049460-5, 978-3-03-049461-2

Fabian Kirstein, Kyriakos Stefanidis, Benjamin Dittwald, Simon Dutkowski, Sebastian Urbanek, Manfred Hauswirth, Kirstein, Fabian, Stefanidis, Kyriakos, Dittwald, Benjamin, Dutkowski, Simon, Urbanek, Sebastian, Hauswirth, Manfred

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 18%
Other 3 14%
Student > Master 3 14%
Student > Bachelor 2 9%
Researcher 2 9%
Other 2 9%
Unknown 6 27%
Readers by discipline Count As %
Computer Science 6 27%
Engineering 3 14%
Social Sciences 2 9%
Mathematics 1 5%
Earth and Planetary Sciences 1 5%
Other 2 9%
Unknown 7 32%