The Semantic Web - ISWC 2020

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.