Overview

The two volume set LNCS 12506 and 12507 constitutes the proceedings of the 19th International Semantic Web Conference, ISWC 2020, which was planned to take place in Athens, Greece, during November 2-6, 2020. The conference changed to a virtual format due to the COVID-19 pandemic. The papers included in this volume deal with the latest advances in fundamental research, innovative technology, and applications of the Semantic Web, linked data, knowledge graphs, and knowledge processing on the Web. They were carefully reviewed and selected for inclusion in the proceedings as follows: Part I: Features 38 papers from the research track which were accepted from 170 submissions; Part II: Includes 22 papers from the resources track which were accepted from 71 submissions; and 21 papers in the in-use track, which had a total of 46 submissions.

Full Product Details

Author:   Jeff Z. Pan ,  Valentina Tamma ,  Claudia d’Amato ,  Krzysztof Janowicz
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
Volume:   12506
Weight:   1.104kg
ISBN:  

9783030624187

ISBN 10:   3030624188
Pages:   695
Publication Date:   01 November 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

Research Track.- Computing Compliant Anonymisations of Quantified ABoxes w.r.t. EL Policies.- PNEL: Pointer Network based End-To-End Entity Linking over Knowledge Graphs.- Explainable Link Prediction for Emerging Entities in Knowledge Graphs.- Tentris – A Tensor-Based Triple Store.- Refining Node Embeddings via Semantic Proximity.- Learning Short-term Differences and Long-term Dependencies for Entity Alignment.- Generating Compact and Relaxable Answers to Keyword Queries over Knowledge Graphs.- Controlled Query Evaluation in Ontology-based Data Access.- Linked Credibility Reviews for Explainable Misinformation Detection.- A Novel Path-based Entity Relatedness Measure for Efficient Collective Entity Linking.- Enhancing Online Knowledge Graph Population with Semantic Knowledge.- Extending SPARQL with Similarity Joins.- ExCut: Explainable Embedding-based Clustering over Knowledge Graphs.- Cost-and Robustness-based Query Optimization for Linked Data Fragments.- GeoSPARQL+: Syntax, Semantics and System for Integrated Querying of Graph, Raster and Vector Data.- FunMap: Efficient Execution of Functional Mappings for Knowledge Graph Creation.- KnowlyBERT - Hybrid Query Answering over Language Models and Knowledge Graphs.- Generating Referring Expressions from RDF Knowledge Graphs for Data Linking.- Prevalence and Effects of Class Hierarchy Precompilation in Biomedical Ontologies.- Tab2Know: Building a Knowledge Base from Scientific Tables.- Deciding SHACL Shape Containment through Description Logics Reasoning.- Rule-Guided Graph Neural Networks for Recommender Systems.- Leveraging Semantic Parsing for Relation Linking over Knowledge Bases.- NABU - Multilingual Graph-based Neural RDF Verbalizer.- Fantastic Knowledge Graph Embeddings and How to Find the Right Space for Them.- LM4KG: Improving Common Sense Knowledge Graphs with Language Models.- SHACL Satisfiability and Containment.- Contextual Propagation of Properties for Knowledge Graphs: A Sentence Embedding Based Approach.- In-database Analytics with Recursive SPARQL.- From syntactic structure to semantic relationship: hypernym extraction from definitions by recurrent neural networks using the part of speech information.- Focused Query Expansion with Entity Cores for Patient-Centric Health Search.- Generating Expressive Correspondences: An Approach based on User Knowledge Needs and A-box Relation Discovery.- Weakly Supervised Short Text Categorization Using World Knowledge.- PreFace: Faceted Retrieval of Prerequisites using domain-specific Knowledge Bases.- Detecting Different Forms of Semantic Shift in Word Embeddings via Paradigmatic and Syntagmatic Association Changes.- BCRL: Long Text Friendly Knowledge Graph Representation Learning.- Temporal Knowledge Graph Embedding Model based on Additive Time Series Decomposition.- Revealing Secrets in SPARQL Session Level. 

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