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A Physical Embedding Model for Knowledge Graphs

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Cover of 'A Physical Embedding Model for Knowledge Graphs'

Table of Contents

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    Book Overview
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    Chapter 1 Building a Large-Scale Knowledge Graph for Elementary Education in China
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    Chapter 2 A Temporal Semantic Search System for Traditional Chinese Medicine Based on Temporal Knowledge Graphs
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    Chapter 3 Testing of Various Approaches for Semiautomatic Parish Records Word Standardization
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    Chapter 4 Concept Similarity Under the Agent’s Preferences for the Description Logic $$\mathcal {A}\!\mathcal {L}\!\mathcal {E}\!\mathcal {H}$$ A L E H
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    Chapter 5 Data Quality for Deep Learning of Judgment Documents: An Empirical Study
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    Chapter 6 Aligning Sentences Between Comparable Texts of Different Styles
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    Chapter 7 An In-depth Analysis of Graph Neural Networks for Semi-supervised Learning
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    Chapter 8 XTransE: Explainable Knowledge Graph Embedding for Link Prediction with Lifestyles in e-Commerce
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    Chapter 9 Feasibility Study: Rule Generation for Ontology-Based Decision-Making Systems
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    Chapter 10 Attention-Based Direct Interaction Model for Knowledge Graph Embedding
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    Chapter 11 Discovering Hypernymy Relationships in Chinese Traffic Legal Texts
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    Chapter 12 Multi-task Learning for Attribute Extraction from Unstructured Electronic Medical Records
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    Chapter 13 Uncertain Ontology-Aware Knowledge Graph Embeddings
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    Chapter 14 Investigating Schema Definitions Using RDFS and OWL 2 for RDF Databases in Life Sciences
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    Chapter 15 RQE: Rule-Driven Query Expansion to Solve Empty Answers in SPARQL
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    Chapter 16 Aspect-Level Sentiment Analysis of Online Product Reviews Based on Multi-features
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    Chapter 17 A Seq2seq-Based Approach to Question Answering over Knowledge Bases
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    Chapter 18 Building Knowledge Graph Across Different Subdomains Using Interlinking Ontology for Biomedical Concepts
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    Chapter 19 WPQA: A Gaming Support System Based on Machine Learning and Knowledge Graph
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    Chapter 20 Combining Concept Graph with Improved Neural Networks for Chinese Short Text Classification
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    Chapter 21 Construction of Chinese Pediatric Medical Knowledge Graph
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    Chapter 22 EasyKG: An End-to-End Knowledge Graph Construction System
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

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