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BL
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| Record Number
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862292
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| Main Entry
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Extended Semantic Web Conference(16th :2019 :, Portorož, Slovenia)
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| Title & Author
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The semantic web : : 16th international conference, ESWC 2019, Portorož, Slovenia, June 2-6, 2019, proceedings /\ Pascal Hitzler [and 7 others], (eds.).
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| Publication Statement
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Cham, Switzerland :: Springer,, [2019]
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| Series Statement
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Lecture notes in computer science ;; 11503
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LNCS sublibrary. SL 3, Information systems and application, incl. Internet/Web and HCI
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| Page. NO
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1 online resource
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| ISBN
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303021348X
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: 9783030213480
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3030213471
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9783030213473
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| Bibliographies/Indexes
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Includes bibliographical references and author index.
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| Contents
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Intro; Preface; Organization; Sponsors; Contents; Research Track; A Decentralized Architecture for Sharing and Querying Semantic Data; 1 Introduction; 2 Related Work; 3 PIQNIC; 3.1 Data Fragmentation; 3.2 Network Architecture; 3.3 Replication of Datasets; 4 Query Processing; 5 Evaluation; 6 Conclusions; References; Reformulation-Based Query Answering for RDF Graphs with RDFS Ontologies; 1 Introduction; 2 Preliminaries; 2.1 RDF Graph; 2.2 RDF Entailment Rules; 2.3 Basic Graph Pattern Queries; 3 Prior Related Work; 4 Extending Query Reformulation to Queries over the Ontology
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2 Related Work3 Preliminaries; 4 Concepts of Nearest Neighbours (CNN); 4.1 Theoretical Definitions; 4.2 Algorithmic and Practical Aspects; 5 Link Prediction; 6 Experiments; 6.1 Methodology; 6.2 Results; 6.3 In-Depth Analysis; 6.4 Example Inferences and Explanations; 7 Conclusion; References; Disclosing Citation Meanings for Augmented Research Retrieval and Exploration; 1 Introduction; 2 Related Work; 3 Data and Preprocessing Tools; 3.1 Data; 3.2 Snippet Extraction; 3.3 Snippet Linking; 4 Semantic Analysis; 4.1 Text Transformation; 4.2 Syntax-Based Snippet Tokenization
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4.1 Overview of Our Query Reformulation Technique4.2 Reformulation Rules Associated with Rc; 4.3 Reformulation Algorithm Associated with Rc; 5 Experimental Evaluation; 6 Conclusion; References; A Hybrid Graph Model for Distant Supervision Relation Extraction; 1 Introduction; 2 Background; 2.1 Various Types of Background Information; 2.2 Graph Convolutional Network; 3 Methodology; 3.1 Problem Definition; 3.2 Overview; 3.3 Encoders; 3.4 Graph Convolutional Network with Attention; 3.5 Optimization; 4 Experiments; 4.1 Dataset and Metrics; 4.2 Experimental Settings
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4.3 Precision-Recall Curve Comparison4.4 Model Robustness; 4.5 Case Study; 5 Related Work; 5.1 Distant Supervision; 5.2 Neural Network Methods; 5.3 Methods with Background Information; 6 Conclusion and Future Work; References; Retrieving Textual Evidence for Knowledge Graph Facts; 1 Introduction; 2 Related Work; 2.1 Passage Retrieval for Knowledge Graph Facts; 2.2 Word Embeddings for Information Retrieval; 3 Retrieving Textual Evidence; 3.1 Exact Matching; 3.2 Semantic Matching; 3.3 FacTify Model; 4 Evaluation; 4.1 Baselines; 4.2 Evaluation Setup; 4.3 Benchmark; 4.4 Results; 4.5 Discussion
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5 ConclusionReferences; Boosting DL Concept Learners; 1 Introduction and Motivation; 2 Related Work; 3 The Learning Problem; 4 Boosting a Concept Learner; 4.1 Basics of Boosting; 4.2 Learning Confidence-Rated Hypotheses in DL; 5 Designing a Simple and Fast Weak Learner; 5.1 wDLF: A Weak Learner Derived from DL-Foil; 5.2 Heuristics; 6 Empirical Evaluation; 6.1 Design and Setup of the Experiments; 6.2 Aggregate Results and Discussion; 6.3 Examples of Induced Ensembles; 7 Conclusions and Outlook; References; Link Prediction in Knowledge Graphs with Concepts of Nearest Neighbours; 1 Introduction
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| Abstract
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This book constitutes the refereed proceedings of the 16th International Semantic Web Conference, ESWC 2019, held in Portorož, Slovenia. The 39 revised full papers presented were carefully reviewed and selected from 134 submissions. The papers are organized in three tracks: research track, resources track, and in-use track and deal with the following topical areas: distribution and decentralisation, velocity on the Web, research of research, ontologies and reasoning, linked data, natural language processing and information retrieval, semantic data management and data infrastructures, social and human aspects of the Semantic Web, and, machine learning.
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| Subject
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Semantic Web, Congresses.
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| Subject
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Semantic Web.
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| Dewey Classification
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025.042/7
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| LC Classification
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TK5105.88815.E98 2019
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| Added Entry
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Hitzler, Pascal
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| Parallel Title
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ESWC 2019
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