Web and Big Data : APWeb-WAIM 2019 International Workshops, KGMA and DSEA, Chengdu, China, August 1–3, 2019, Revised Selected Papers

This book constitutes the thoroughly refereed post-conference proceedings of the Third APWeb-WAIM 2019 Workshops, held jointly with the Third International Joint Conference APWeb-WAIM 2019 in Macau, China, in August 2019. The 8 full papers presented together with 1 invited talk were carefully reviewed and selected from 18 submissions. The papers originating from two workshops, KGMA and DSEA, present cutting-edge ideas, results, experiences, techniques, and tools from all aspects of the management, analysis, and application of knowledge graphs in different domains, as well as theoretical foundations, algorithms, systems, models and applications for big data management and mining. -- Provided by publisher Preface 6 Organization 7 Contents 9 KGMA 10 Distributed Query Evaluation over Large RDF Graphs 11 1 Background 11 2 Distributed RDF Systems 12 2.1 Partitioning-Based Approaches 12 2.2 Cloud-Based Approaches 13 3 gStoreD: A Partial Evaluation-Based Distributed RDF System 13 4 Conclusions 14 References 14 Classification-Based Emoji Recommendation for User Social Networks 16 Abstract 16 1 Introduction 16 2 Related Work 17 3 Constructing Emoji-Related Features 19 3.1 Emoji-Related Context Document Definition and Preprocessing 19 3.2 Emoji-Related Context Document Representation 20 3.3 Constructing Emoji-Related KeyWords Dictionary 21 3.4 Constructing Relevance Feature of Emojis 22 4 Integrated Recommendation Method 23 4.1 Recommendation Method by Integrating Emoji-Related Features 23 4.2 Recommendation Generation 24 5 Experiment Results and Analysis 25 5.1 Data Acquisition and Cleaning 25 5.2 Extraction of Emojis and Setting up Experimental Data Set 25 5.3 Evaluating Indicator 26 5.4 Experimental Analysis 26 6 Conclusion 29 Acknowledgement 29 References 29 Leveraging Context Information for Joint Entity and Relation Linking 31 Abstract 31 1 Introduction 31 2 Related Work 33 3 EEARL: Extended Entity and Relation Linker 34 3.1 Keyword Phrase Extraction 34 3.2 Entity/Relation Prediction 35 3.3 Candidate Element Generation 35 3.4 Entity/Relation Disambiguation 35 3.5 Adaptive Learning 39 4 Experiments and Discussion 39 4.1 Experimental Design 39 4.2 Experimental Results 40 4.3 Discussion 41 5 Conclusion 41 References 42 Community Detection in Knowledge Graph Network with Matrix Factorization Learning 45 1 Introduction 45 2 Related Works 46 3 Application of Semantic Network Quantitative Analysis 50 4 Our Matrix Factorization Method 51 5 Experiment Results 53 5.1 Expriments in DBLP Network 53 5.2 Experiments in Real Chinese Journals Collaborative Network 54 6 Conclusion 57 References 57 A Survey of Relation Extraction of Knowledge Graphs 60 Abstract 60 1 Introduction 60 1.1 Knowledge Graph 60 1.2 Related Work 62 1.3 Organization Structure 63 2 Relation Extraction Algorithm 64 3 Unsupervised Learning 66 4 Supervised Learning 66 5 Semi-supervised Learning 67 5.1 Co-Training Algorithm 67 5.2 MULTIR Algorithm 68 5.3 Scientific Paper Extraction Algorithm 69 5.4 Active Learning 69 6 Distant Supervised Learning 70 7 Conclusion 71 References 72 DSEA 75 PEVR: Pose Estimation for Vehicle Re-Identification 76 1 Introduction 76 2 Related Work 78 3 Proposed Method 79 3.1 Inception-V3 Architecture 79 3.2 Framework Overview 79 4 Experiments 80 4.1 Datasets 80 4.2 Experimental Settings 81 4.3 Network Training 81 4.4 Comparison with Baseline Methods 83 4.5 Comparison with State-of-art Methods 83 5 Conclusion 84 References 84 The Research of Chinese Ethnical Face Recognition Based on Deep Learning 86 1 Introduction 86 2 Proposed Approach 89 2.1 Collection of Chinese Ethnical Face Image 89 2.2 Face Detection 90 2.3 Face Recognition 91 3 Experiments 92 3.1 Preparation 93 3.2 Results 93 4 Conclusion 96 References 97 Model of Charging Stations Construction and Electric Vehicles Development Prediction 99 1 Introduction 99 2 Related Work 100 3 Quantity Prediction Model of Charging Station 101 4 Location Model for Charging Stations in Different Areas 102 5 Location Model of Supercharging Stations on Expressway Based on Queue Theory 104 6 Growth Plan on Charging Station Construction and Development of Electric Vehicles 106 7 Classification Model Based on K-means 108 8 Conclusion 110 References 111 Boundary Detector Encoder and Decoder with Soft Attention for Video Captioning 112 1 Introduction 112 2 Method 113 2.1 Boundary Detector 113 2.2 Attention 116 2.3 Training 116 2.4 Sentence Generation 117 3 Experimental Setup 117 3.1 Datasets 117 3.2 Metrics 118 4 Experimental Results 118 4.1 Ablation Study 118 4.2 Compared Approaches 119 5 Conclusion 120 References 121 Author Index 123 Front Matter ....Pages i-ix Front Matter ....Pages 1-1 Distributed Query Evaluation over Large RDF Graphs (Peng Peng)....Pages 3-7 Classification-Based Emoji Recommendation for User Social Networks (Yuan Wang, Yukun Li, Fenglian Liu)....Pages 8-22 Leveraging Context Information for Joint Entity and Relation Linking (Yao Zhao, Zhuoming Xu, Wei Hu)....Pages 23-36 Community Detection in Knowledge Graph Network with Matrix Factorization Learning (Xiaohua Shi, Yin Qian, Hongtao Lu)....Pages 37-51 A Survey of Relation Extraction of Knowledge Graphs (Aoran Li, Xinmeng Wang, Wenhuan Wang, Anman Zhang, Bohan Li)....Pages 52-66 Front Matter ....Pages 67-67 PEVR: Pose Estimation for Vehicle Re-Identification (Saifullah Tumrani, Zhiyi Deng, Abdullah Aman Khan, Waqar Ali)....Pages 69-78 The Research of Chinese Ethnical Face Recognition Based on Deep Learning (Qike Zhao, Tangming Chen, Xiaosu Zhu, Jingkuan Song)....Pages 79-91 Model of Charging Stations Construction and Electric Vehicles Development Prediction (Qilong Zhang, Zheyong Qiu, Jingkuan Song)....Pages 92-104 Boundary Detector Encoder and Decoder with Soft Attention for Video Captioning (Tangming Chen, Qike Zhao, Jingkuan Song)....Pages 105-115 Back Matter ....Pages 117-117