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[null,"1.","Record Nr.",null,"UNISA996503471203316"]
[null,null,"Titolo",null,"Web information systems and applications : 19th international conference, WISA 2022, Dalian, China, September 16-18, 2022, proceedings / / Xiang Zhao [and three others] (editors)"]
[null,null,"Pubbl/distr/stampa",null,"Cham, Switzerland : , : Springer, , [2022]"]
[{"$nulls":4},"©2022"]
[null,null,"ISBN",null,"3-031-20309-7"]
[null,null,"Descrizione fisica",null,"1 online resource (749 pages)"]
[null,null,"Collana",null,"Lecture notes in computer science ; ; Volume 13579"]
[null,null,"Disciplina",null,"006.3"]
[null,null,"Soggetti",null,"Artificial intelligence"]
[{"$nulls":4},"World Wide Web"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"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 &amp -- Correction -- 6.2 Recommendation and Q&amp -- 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 "]
[{"$nulls":4},"Works -- 3 Methodology -- 3.1 Framework of CG&amp -- BF -- 3.2 Concept-Based Generator -- 3.3 BERT-Based Filter -- 4 Experiments -- 4.1 Experiment Setup -- 4.2 Model Comparison -- 5 Conclusion -- References -- Simplifying Knowledge-Aware Aggregation for Knowledge Graph Collaborative Filtering -- 1 Introduction -- 2 Related Work -- 3 Task Formulation -- 4 Methodology."]
[{"$nulls":4},"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 -- 4.4 Semi-supervised Task Learning -- 5 Experiments -- 5.1 Experiment Dataset -- 5.2 Implementation Details and Evaluation Metrics -- 5.3 Compared Methods -- 5.4 Experimental Results -- 6 Conclusion -- References -- LocRDF: An Ontology-Aware Key-Value Store for Massive RDF Data -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 4 LocRDF -- 4.1 Encoding -- 4.2 System Storage -- 4.3 Query and Reasoning -- 5 Experimental Evaluation -- 5.1 Experiment Setup and Datasets -- 5.2 Experimental Results -- 6 Conclusion -- References -- Multi-view Based Entity Frequency-Aware Graph Neural Network for Temporal Knowledge Graph Link Prediction -- 1 Introduction -- 2 Related Work -- 3 Definition -- 4 Proposed Approach -- 4.1 Multi-view Graph Neural Network."]
[{"$nulls":4},"4.2 Entity Frequency-Aware Attention Network -- 4.3 Decoder and Training -- 5 Experiments -- 5.1 Experiment Dataset -- 5.2 Evaluation Metrics -- 5.3 Baseline Methods -- 5.4 Performance Comparison -- 5.5 Parameter Analysis -- 6 Conclusion and Outlook -- References -- Semantic Reasoning Technology on Temporal Knowledge Graph -- 1 Introduction -- 2 Related Work -- 3 Model -- 3.1 Problem Definition -- 3.2 Framework -- 4 Method -- 4.1 Historical Reasoning -- 4.2 Temporal Reasoning -- 4.3 Prediction for Two-Stage Integration -- 5 Experiments -- 5.1 Experiment Setup -- 5.2 Model Comparison -- 6 Conclusion -- References -- Multiple-Granularity Graph for Document-Level Relation Extraction -- 1 Introduction -- 2 Related Work -- 3 Proposed Model -- 3.1 Encoding Module -- 3.2 Graph Construction Module -- 3.3 Inference Module -- 3.4 Classification Module -- 4 Experiment and Result Analysis -- 4.1 Dataset and Evaluation Indicators -- 4.2 Experiment Result and Analysis -- 5 Conclusion -- References -- A Fine-Grained Anomaly Detection Method Fusing Isolation Forest and Knowledge Graph Reasoning -- 1 Introduction -- 2 Related Work -- 3 Model -- 3.1 Global Anomaly Detector -- 3.2 Expert Judgment Detector -- 3.3 Local Knowledge Graph Reasoning Detector -- 4 Experiments -- 4.1 Experiment Settings -- 4.2 Evaluation on the KWIF Algorithm -- 4.3 Evaluation on the Proposed Whole Model -- 5 Conclusion -- References -- Design of Trademark Recommendation System Based on Knowledge Graph -- "]
[{"$nulls":4},"1 Introduction -- 2 Construction of Knowledge Graph and the Design and Implementation of Recommendation System -- 3 Summary -- References -- Natural Language Processing -- An Integrated Chinese Malicious Webpages Detection Method Based on Pre-trained Language Models and Feature Fusion -- 1 Introduction -- 2 Related Work -- 2.1 Malicious Webpages Dataset Construction -- 2.2 Feature Extraction."]
[{"$nulls":4},"2.3 Identification Methods -- 3 Method Framework -- 3.1 Construction of Chinese Malicious Webpages Detection Dataset -- 3.2 Manually Designed Feature Template -- 3.3 BERT-URL Based on External Pure URLs Classification -- 3.4 BERT-Web-text Based on Masked Language Model -- 4 Experimental Results and Analysis -- 4.1 External URLs Classification -- 4.2 Chinese Malicious Webpages Detection on the Internal Data -- 4.3 Webpages High-Frequency Words Analysis -- 5 Conclusion -- References -- Code Comments Generation with Data Flow-Guided Transformer -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Data Flow -- 3.2 Transformer Variant Guided by Data Flow -- 3.3 Improved Beam Search Decoding -- 4 Experiments -- 4.1 Datasets and Pre-processing -- 4.2 Metrics and Training Details -- 4.3 Results and Analysis -- 5 Conclusion -- References -- Coreference Resolution with Syntax and Semantics -- 1 Introduction -- 2 Related Work -- 2.1 End-to-End Coreference Resolution -- 2.2 Coreference Resolution of Non-span Representations -- 2.3 Coreference Resolution of Associative Component Syntax -- 3 Methodology -- 3.1 Token Representation -- 3.2 Coreference Score Calculation -- 3.3 Representation with Syntax and Semantics -- 3.4 Mention Extraction -- 3.5 Model Training -- 4 Experiments -- 4.1 Experimental Settings -- 4.2 Performance Comparison -- 4.3 Efficiency Comparison -- 5 Conclusion -- References -- Self-adaptive Context Reasoning Mechanism for Text Sentiment Analysis -- 1 Introduction -- 2 Related Works -- 3 ALBERT-SACR -- 3.1 Embedding -- 3.2 Global Contextual Features -- 3.3 Self-adaptive Context Reasoning Mechanism -- 3.4 Output of Sentiment Analysis -- 4 Simulation Experiments and Analysis -- 4.1 Experimental Settings -- 4.2 Comparative Experiments and Analysis -- 4.3 Influence of CNN Channel Numbers -- 5 Conclusion and Future Works -- References."]
[{"$nulls":4},"AOED: Generating SQL with the Aggregation Operator Enhanced Decoding -- 1 Introduction -- 2 Related Work -- 2.1 Semantic Parsing -- 2.2 Sketch-Based Deep Learning Models -- 3 Methodology -- 3.1 Model Overview -- 3.2 Statistics of KSAA -- 3.3 Aggregation Operator Enhanced Decoding -- 4 Experiment -- 4.1 Experiment Settings -- 4.2 Overall Result -- 4.3 Ablation Study -- 5 Conclusion and Future Work -- References -- Multi-granularity Chinese Text Matching Model Combined with Bidirectional Attention -- 1 Introduction -- 2 Related Work -- 2.1 Representation-Based Models -- 2.2 Interaction-Based Models -- 3 Proposed Model -- 3.1 Embedding Layer -- 3.2 Bi-attention Layer -- 3.3 Multi-granularity Information Extraction Layer -- 3.4 Matching Layer -- 4 Experiment and Result -- 4.1 Dataset and Contrast Models -- 4.2 Metrics and Result -- 5 Experiment and Result -- References -- World Wide Web -- Data Fusion Methods with Graded Relevance Judgment*-12pt -- 1 Introduction -- 2 Related Work -- 3 Four Measures for Graded Relevance Judgment -- 4 Data Fusion Methods with Graded Relevance Judgment -- 5 Experimental Settings and Results -- 6 Conclusions -- 7  Appendix -- References -- Highway Accident Localization Based on Virtual Fence for Intelligent Transportation Systems*-12pt -- 1 Introduction -- 2 Related Work -- 3 System Model and Problem Formulation -- 3.1 System Model -- 3.2 Virtual Fence Model -- 3.3 Problem Formulation -- 4 Highway Accident Localization -- 4.1 Accident Location Determination -- 4.2 Algorithm "]
[{"$nulls":4},"Design -- 5 Performance Evaluation -- 5.1 System Settings -- 5.2 Accuracy Evaluation -- 5.3 Efficiency Evaluation -- 5.4 Economic Evaluation -- 6 Conclusion -- References -- Design and Implementation of Analyzer Management System Based on Elasticsearch*-12pt -- 1 Introduction -- 2 Related Work -- 3 Concept of Design -- 3.1 Overview of System."]
[{"$nulls":4},"3.2 System Design."]