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The Semantic Web

Overview of attention for book
Cover of 'The Semantic Web'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Explainable Drug Repurposing in Context via Deep Reinforcement Learning
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    Chapter 2 A Comparative Study of Stream Reasoning Engines
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    Chapter 3 Join Ordering of SPARQL Property Path Queries
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    Chapter 4 Refining Large Integrated Identity Graphs Using the Unique Name Assumption
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    Chapter 5 Structural Bias in Knowledge Graphs for the Entity Alignment Task
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    Chapter 6 A Framework to Include and Exploit Probabilistic Information in SHACL Validation Reports
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    Chapter 7 Transformer Based Semantic Relation Typing for Knowledge Graph Integration
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    Chapter 8 Entity Linking for KGQA Using AMR Graphs
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    Chapter 9 REGNUM: Generating Logical Rules with Numerical Predicates in Knowledge Graphs
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    Chapter 10 Classifying Sequences by Combining Context-Free Grammars and OWL Ontologies
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    Chapter 11 NASTyLinker: NIL-Aware Scalable Transformer-Based Entity Linker
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    Chapter 12 iSummary: Workload-Based, Personalized Summaries for Knowledge Graphs
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    Chapter 13 Neural Class Expression Synthesis
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    Chapter 14 Evaluating Language Models for Knowledge Base Completion
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    Chapter 15 Subsumption Prediction for E-Commerce Taxonomies
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    Chapter 16 Two-View Graph Neural Networks for Knowledge Graph Completion
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    Chapter 17 GETT-QA: Graph Embedding Based T2T Transformer for Knowledge Graph Question Answering
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    Chapter 18 Repairing $$\mathcal{{EL}}$$ EL Ontologies Using Weakening and Completing
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    Chapter 19 Activity Recommendation for Business Process Modeling with Pre-trained Language Models
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    Chapter 20 RELD: A Knowledge Graph of Relation Extraction Datasets
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    Chapter 21 IMKG: The Internet Meme Knowledge Graph
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    Chapter 22 Describing and Organizing Semantic Web and Machine Learning Systems in the SWeMLS-KG
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    Chapter 23 A Concise Ontology to Support Research on Complex, Multimodal Clinical Reasoning
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    Chapter 24 LauNuts: A Knowledge Graph to Identify and Compare Geographic Regions in the European Union
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    Chapter 25 HHT: An Approach for Representing Temporally-Evolving Historical Territories
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    Chapter 26 An Upper Ontology for Modern Science Branches and Related Entities
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    Chapter 27 K-Hub: A Modular Ontology to Support Document Retrieval and Knowledge Extraction in Industry 5.0
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    Chapter 28 pyRDF2Vec : A Python Implementation and Extension of RDF2Vec
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    Chapter 29 Boosting Knowledge Graph Generation from Tabular Data with RML Views
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    Chapter 30 A Knowledge Graph of Contentious Terminology for Inclusive Representation of Cultural Heritage
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    Chapter 31 LegalHTML: A Representation Language for Legal Acts
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    Chapter 32 Whyis 2: An Open Source Framework for Knowledge Graph Development and Research
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    Chapter 33 Prototyping an End-User User Interface for the Solid Application Interoperability Specification Under GDPR
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    Chapter 34 SemReasoner - A High-Performance Knowledge Graph Store and Rule-Based Reasoner
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    Chapter 35 LIS : A Knowledge Graph-Based Line Information System
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    Chapter 36 Combining Semantic Web and Machine Learning for Auditable Legal Key Element Extraction
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    Chapter 37 Understanding Customer Requirements
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    Chapter 38 Investigating Ontology-Based Data Access with GitHub
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    Chapter 39 Enabling Live SPARQL Queries over ConceptNet Using Triple Pattern Fragments
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    Chapter 40 Evaluation of a Representative Selection of SPARQL Query Engines Using Wikidata
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    Chapter 41 MOSAIK: An Agent-Based Decentralized Control System with Stigmergy for a Transportation Scenario
Attention for Chapter 20: RELD: A Knowledge Graph of Relation Extraction Datasets
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Chapter title
RELD: A Knowledge Graph of Relation Extraction Datasets
Chapter number 20
Book title
The Semantic Web
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-33455-9_20
Book ISBNs
978-3-03-133454-2, 978-3-03-133455-9
Authors

Ali, Manzoor, Saleem, Muhammad, Moussallem, Diego, Sherif, Mohamed Ahmed, Ngonga Ngomo, Axel-Cyrille

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X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

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%
Student > Master 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Engineering 1 50%

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