TY - BOOK AU - Zhao,Xiang AU - Yang,Shiyu AU - Wang,Xin AU - Li,Jianxin ED - International Conference on Web Information Systems and Applications TI - Web information systems and applications: 19th International Conference, WISA 2022, Dalian, China, September 16-18, 2022 : proceedings T2 - Lecture notes in computer science SN - 9783031203091 AV - TK5105.888 U1 - 004.67/8 23/eng/20230103 PY - 2022///] CY - Cham PB - Springer KW - World Wide Web KW - Congresses KW - Artificial intelligence KW - Web KW - Congrès KW - Intelligence artificielle KW - fast KW - proceedings (reports) KW - aat KW - Conference papers and proceedings KW - lcgft KW - Actes de congrès KW - rvmgf N1 - Selected conference papers; Includes author index; Intro -- Preface -- Organization -- Contents -- Knowledge Graph -- Temporal Knowledge Graph Embedding for Link Prediction -- 1 Introduction -- 2 Related Work -- 3 Problem Formulation -- 4 Methodology -- 4.1 Structural Self-attention -- 4.2 Temporal Self-attention -- 4.3 Parameter Learning -- 4.4 Discussion -- 5 Experiments -- 5.1 Experimental Settings -- 5.2 Performance Comparison (RQ1) -- 5.3 Utility of Structural and Temporal Self-attention (RQ2) -- 5.4 Hyper-Parameter Studies (RQ3) -- 6 Conclusions -- References -- A Multi-modal Knowledge Graph Platform Based on Medical Data Lake; 1 Introduction -- 2 Related Work -- 3 Architecture of MMKGP -- 4 Translation-Based Model Enhanced by Prior Knowledge -- 4.1 TransE Model -- 4.2 Constraint for Relations -- 5 Knowledge Graph Completion with Multi-modal Data -- 5.1 Dataset -- 5.2 Evaluation Criterion -- 5.3 Model Training and Result -- 6 Knowledge Graph-Based Clinical Decision Support System -- 6.1 Link Prediction & Correction -- 6.2 Recommendation and Q&A System -- 7 Conclusion -- References -- Fusion of Natural Language and Knowledge Graph for Multi-hop Reasoning -- 1 Introduction -- 2 Related Works -- 3 Model -- 3.1 Description; 3.2 Framework -- 3.3 Subgraph Retrieval -- 3.4 Structural Fusion -- 3.5 Relation Reasoning -- 4 Experiments -- 4.1 Experiment Setup -- 4.2 Model Comparison -- 5 Conclusion -- References -- Commonsense Knowledge Construction with Concept and Pretrained Model -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Framework of CG&BF -- 3.2 Concept-Based Generator -- 3.3 BERT-Based Filter -- 4 Experiments -- 4.1 Experiment Setup -- 4.2 Model Comparison -- 5 Conclusion -- References -- Simplifying Knowledge-Aware Aggregation for Knowledge Graph Collaborative Filtering -- 1 Introduction; 2 Related Work -- 3 Task Formulation -- 4 Methodology -- 4.1 Personalized Knowledge Aggregation -- 4.2 User Aggregation -- 4.3 Prediction Layer -- 5 Experiments -- 5.1 Datasets -- 5.2 Baselines -- 5.3 Experimental Settings -- 5.4 Performance Comparison (RQ1) -- 5.5 Ablation Studies (RQ2) -- 6 Conclusion -- References -- Bi-Directional Neighborhood-Aware Network for Entity Alignment in Knowledge Graphs -- 1 Introduction -- 2 Related Work -- 2.1 Embedding-Based Methods -- 2.2 Phenomenon of Long-Tail -- 3 Problem Formalization -- 4 Methodology -- 4.1 Neighborhood Embedding; 4.2 Entity Name Embedding -- 4.3 Feature Fusion with Bi-attention -- 4.4 Alignment and Training -- 5 Experiments -- 5.1 Experiment Setting -- 5.2 Main Result -- 5.3 Ablation Study -- 5.4 Evaluation by Degrees Interval -- 5.5 Robustness on Datasets -- 6 Conclusion -- References -- SAREM: Semi-supervised Active Heterogeneous Entity Matching Framework -- 1 Introduction -- 2 Related Work -- 2.1 Entity Matching -- 2.2 EM Based on Active Learning -- 3 Problem Statement and Definition -- 4 The Framework: Sarem -- 4.1 Data Augmentation -- 4.2 Feature Extraction -- 4.3 Example Selection N2 - This book constitutes the proceedings of the 19th International Conference on Web Information Systems and Applications, WISA 2022, held in Dalian, China, in September 2022. The 45 full papers and 19 short papers presented were carefully reviewed and selected from 212 submissions. The papers are grouped in topical sections on knowledge graph, natural language processing, world wide web, machine learning, query processing and algorithm, recommendation, data privacy and security, and blockchain UR - https://link.springer.com/10.1007/978-3-031-20309-1 ER -