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The Semantic Web

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Cover of 'The Semantic Web'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Analyzing the Evolution of Vocabulary Terms and Their Impact on the LOD Cloud
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    Chapter 2 GSP (Geo-Semantic-Parsing): Geoparsing and Geotagging with Machine Learning on Top of Linked Data
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    Chapter 3 LDP-DL: A Language to Define the Design of Linked Data Platforms
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    Chapter 4 Empirical Analysis of Ranking Models for an Adaptable Dataset Search
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    Chapter 5 sameAs.cc: The Closure of 500M owl:sameAs Statements
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    Chapter 6 Modeling and Preserving Greek Government Decisions Using Semantic Web Technologies and Permissionless Blockchains
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    Chapter 7 Towards a Binary Object Notation for RDF
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    Chapter 8 User-Centric Ontology Population
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    Chapter 9 Using Ontology-Based Data Summarization to Develop Semantics-Aware Recommender Systems
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    Chapter 10 PageRank and Generic Entity Summarization for RDF Knowledge Bases
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    Chapter 11 Answering Multiple-Choice Questions in Geographical Gaokao with a Concept Graph
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    Chapter 12 TweetsKB: A Public and Large-Scale RDF Corpus of Annotated Tweets
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    Chapter 13 HDTQ: Managing RDF Datasets in Compressed Space
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    Chapter 14 Answers Partitioning and Lazy Joins for Efficient Query Relaxation and Application to Similarity Search
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    Chapter 15 Evaluation of Schema.org for Aggregation of Cultural Heritage Metadata
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    Chapter 16 Dynamic Planning for Link Discovery
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    Chapter 17 A Dataset for Web-Scale Knowledge Base Population
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    Chapter 18 EventKG: A Multilingual Event-Centric Temporal Knowledge Graph
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    Chapter 19 Semantic Concept Discovery over Event Databases
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    Chapter 20 Smart Papers: Dynamic Publications on the Blockchain
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    Chapter 21 Mind the (Language) Gap: Generation of Multilingual Wikipedia Summaries from Wikidata for ArticlePlaceholders
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    Chapter 22 What Does an Ontology Engineering Community Look Like? A Systematic Analysis of the schema.org Community
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    Chapter 23 FERASAT: A Serendipity-Fostering Faceted Browser for Linked Data
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    Chapter 24 Classifying Crises-Information Relevancy with Semantics
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    Chapter 25 Efficient Temporal Reasoning on Streams of Events with DOTR
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    Chapter 26 Intelligent Clients for Replicated Triple Pattern Fragments
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    Chapter 27 Knowledge Guided Attention and Inference for Describing Images Containing Unseen Objects
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    Chapter 28 Benchmarking of a Novel POS Tagging Based Semantic Similarity Approach for Job Description Similarity Computation
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    Chapter 29 A Tri-Partite Neural Document Language Model for Semantic Information Retrieval
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    Chapter 30 Multiple Models for Recommending Temporal Aspects of Entities
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    Chapter 31 GDPRtEXT - GDPR as a Linked Data Resource
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    Chapter 32 Transfer Learning for Item Recommendations and Knowledge Graph Completion in Item Related Domains via a Co-Factorization Model
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    Chapter 33 Modeling and Summarizing News Events Using Semantic Triples
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    Chapter 34 GNIS-LD: Serving and Visualizing the Geographic Names Information System Gazetteer as Linked Data
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    Chapter 35 Event-Enhanced Learning for KG Completion
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    Chapter 36 Exploring Enterprise Knowledge Graphs: A Use Case in Software Engineering
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    Chapter 37 Using Link Features for Entity Clustering in Knowledge Graphs
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    Chapter 38 Modeling Relational Data with Graph Convolutional Networks
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    Chapter 39 Ontology-Driven Sentiment Analysis of Product and Service Aspects
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    Chapter 40 Frankenstein: A Platform Enabling Reuse of Question Answering Components
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    Chapter 41 Querying APIs with SPARQL: Language and Worst-Case Optimal Algorithms
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    Chapter 42 Task-Oriented Complex Ontology Alignment: Two Alignment Evaluation Sets
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    Chapter 43 Where is My URI?
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    Chapter 44 Optimizing Semantic Reasoning on Memory-Constrained Platforms Using the RETE Algorithm
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    Chapter 45 Efficient Ontology-Based Data Integration with Canonical IRIs
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    Chapter 46 Formal Query Generation for Question Answering over Knowledge Bases
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    Chapter 47 A LOD Backend Infrastructure for Scientific Search Portals
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    Chapter 48 Detecting Hate Speech on Twitter Using a Convolution-GRU Based Deep Neural Network
Attention for Chapter 38: Modeling Relational Data with Graph Convolutional Networks
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Chapter title
Modeling Relational Data with Graph Convolutional Networks
Chapter number 38
Book title
The Semantic Web
Published by
Springer, Cham, June 2018
DOI 10.1007/978-3-319-93417-4_38
Book ISBNs
978-3-31-993416-7, 978-3-31-993417-4

Michael Schlichtkrull, Thomas N. Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, Max Welling

Twitter Demographics

The data shown below were collected from the profiles of 53 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 1,890 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 2 <1%
China 1 <1%
Canada 1 <1%
Ireland 1 <1%
Russia 1 <1%
Netherlands 1 <1%
United States 1 <1%
Unknown 1882 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 429 23%
Student > Master 384 20%
Researcher 200 11%
Student > Bachelor 193 10%
Student > Doctoral Student 76 4%
Other 199 11%
Unknown 409 22%
Readers by discipline Count As %
Computer Science 1065 56%
Engineering 133 7%
Mathematics 52 3%
Biochemistry, Genetics and Molecular Biology 29 2%
Physics and Astronomy 20 1%
Other 134 7%
Unknown 457 24%