Matches in ESWC 2020 for { ?s <http://www.w3.org/2000/01/rdf-schema#label> ?o. }
- keynote-michael-schmidt label "Graph first, semantics follows".
- Day.Thursday label "Thursday".
- Processing_SPARQL_Aggregates_Queries_with_Web_Preemption label "Processing SPARQL Aggregates Queries with Web Preemption".
- Paper.155 label "Processing SPARQL Aggregates Queries with Web Preemption".
- Equivalent_Rewritings_on_Path_Views_with_Binding_Patterns label "Equivalent Rewritings on Path Views with Binding Patterns".
- Paper.106 label "Equivalent Rewritings on Path Views with Binding Patterns".
- StreamPipes_Connect:_Semantics-Based_Edge_Adapters_for_the_Industrial_IoT label "StreamPipes Connect: Semantics-Based Edge Adapters for the Industrial IoT".
- Paper.136 label "StreamPipes Connect: Semantics-Based Edge Adapters for the Industrial IoT".
- Entity_Extraction_from_Wikipedia_List_Pages label "Entity Extraction from Wikipedia List Pages".
- Paper.39 label "Entity Extraction from Wikipedia List Pages".
- Building_Linked_Spatio-Temporal_Data_from_Vectorized_Historical_Maps label "Building Linked Spatio-Temporal Data from Vectorized Historical Maps".
- Paper.48 label "Building Linked Spatio-Temporal Data from Vectorized Historical Maps".
- SchemaTree:_Maximum-likelihood_Property_Recommendation_for_Wikidata label "SchemaTree: Maximum-likelihood Property Recommendation for Wikidata".
- Paper.150 label "SchemaTree: Maximum-likelihood Property Recommendation for Wikidata".
- Entity_Summarization_with_User_Feedback label "Entity Summarization with User Feedback".
- Paper.66 label "Entity Summarization with User Feedback".
- Detecting_Synonymous_Properties_by_Shared_Data-driven_Definitions label "Detecting Synonymous Properties by Shared Data-driven Definitions".
- Paper.138 label "Detecting Synonymous Properties by Shared Data-driven Definitions".
- Incremental_Multi-source_Entity_Resolution_for_Knowledge_Graph_Completion label "Incremental Multi-source Entity Resolution for Knowledge Graph Completion".
- Paper.159 label "Incremental Multi-source Entity Resolution for Knowledge Graph Completion".
- Hyperbolic_Knowledge_Graph_Embeddings_for_Knowledge_Base_Completion label "Hyperbolic Knowledge Graph Embeddings for Knowledge Base Completion".
- Paper.52 label "Hyperbolic Knowledge Graph Embeddings for Knowledge Base Completion".
- Unsupervised_Bootstrapping_of_Active_Learning_for_Entity_Resolution label "Unsupervised Bootstrapping of Active Learning for Entity Resolution".
- Paper.80 label "Unsupervised Bootstrapping of Active Learning for Entity Resolution".
- Embedding-based_Recommendations_on_Scholarly_Knowledge_Graphs label "Embedding-based Recommendations on Scholarly Knowledge Graphs".
- Paper.89 label "Embedding-based Recommendations on Scholarly Knowledge Graphs".
- SASOBUS:_Semi-automatic_Sentiment_Domain_Ontology_Building_Using_Synsets label "SASOBUS: Semi-automatic Sentiment Domain Ontology Building Using Synsets".
- Paper.28 label "SASOBUS: Semi-automatic Sentiment Domain Ontology Building Using Synsets".
- Partial_Domain_Adaptation_for_Relation_Extraction_Based_on_Adversarial_Learning label "Partial Domain Adaptation for Relation Extraction Based on Adversarial Learning".
- Paper.77 label "Partial Domain Adaptation for Relation Extraction Based on Adversarial Learning".
- Entity_Linking_and_Lexico-Semantic_Patterns_for_Ontology_Learning label "Entity Linking and Lexico-Semantic Patterns for Ontology Learning".
- Paper.179 label "Entity Linking and Lexico-Semantic Patterns for Ontology Learning".
- Hybrid_Reasoning_Over_Large_Knowledge_Bases_Using_On-The-Fly_Knowledge_Extraction label "Hybrid Reasoning Over Large Knowledge Bases Using On-The-Fly Knowledge Extraction".
- Paper.107 label "Hybrid Reasoning Over Large Knowledge Bases Using On-The-Fly Knowledge Extraction".
- A_Simple_Method_for_Inducing_Class_Taxonomies_in_Knowledge_Graphs label "A Simple Method for Inducing Class Taxonomies in Knowledge Graphs".
- Paper.193 label "A Simple Method for Inducing Class Taxonomies in Knowledge Graphs".
- Handling_Impossible_Derivations_during_Stream_Reasoning label "Handling Impossible Derivations during Stream Reasoning".
- Paper.247 label "Handling Impossible Derivations during Stream Reasoning".
- Semantic_Data_Integration_for_the_SMT_Manufacturing_Process_using_SANSA_Stack label "Semantic Data Integration for the SMT Manufacturing Process using SANSA Stack".
- Paper.276 label "Semantic Data Integration for the SMT Manufacturing Process using SANSA Stack".
- Enabling_Digital_Business_Transformation_through_an_enterprise_Knowledge_Graph label "Enabling Digital Business Transformation through an enterprise Knowledge Graph".
- Paper.277 label "Enabling Digital Business Transformation through an enterprise Knowledge Graph".
- Knowledge_Graph-based_Legal_Search_over_German_Court_Cases label "Knowledge Graph-based Legal Search over German Court Cases".
- Paper.275 label "Knowledge Graph-based Legal Search over German Court Cases".
- Enabling_FAIR_Clinical_Data_Standards_with_Linked_Data label "Enabling FAIR Clinical Data Standards with Linked Data".
- Paper.337 label "Enabling FAIR Clinical Data Standards with Linked Data".
- The_Knowledge_Graph_Track_at_OAEI_–_Gold_Standards._Baselines._and_the_Golden_Hammer_Bias label "The Knowledge Graph Track at OAEI – Gold Standards, Baselines, and the Golden Hammer Bias".
- Modular_Graphical_Ontology_Engineering_Evaluated label "Modular Graphical Ontology Engineering Evaluated".
- Paper.111 label "Modular Graphical Ontology Engineering Evaluated".
- Investigating_Software_Usage_in_the_Social_Sciences:_A_Knowledge_Graph_Approach label "Investigating Software Usage in the Social Sciences: A Knowledge Graph Approach".
- Paper.116 label "Investigating Software Usage in the Social Sciences: A Knowledge Graph Approach".
- QAnswer_KG:_Creating_On-Demand_Question_Answering_Systems_on_Top_of_RDF_Data label "QAnswer KG: Creating On-Demand Question Answering Systems on Top of RDF Data".
- Paper.237 label "QAnswer KG: Creating On-Demand Question Answering Systems on Top of RDF Data".
- Keyword_Search_over_RDF_using_Document-centric_Information_Retrieval_Systems label "Keyword Search over RDF using Document-centric Information Retrieval Systems".
- Paper.186 label "Keyword Search over RDF using Document-centric Information Retrieval Systems".
- VQuAnDa:_Verbalization_QUestion_ANswering_DAtaset label "VQuAnDa: Verbalization QUestion ANswering DAtaset".
- Paper.69 label "VQuAnDa: Verbalization QUestion ANswering DAtaset".
- ESBM:_An_Entity_Summarization_BenchMark label "ESBM: An Entity Summarization BenchMark".
- Paper.72 label "ESBM: An Entity Summarization BenchMark".
- SemTab_2019:_Resources_to_Benchmark_Tabular_Data_to_Knowledge_Graph_Matching_Systems label "SemTab 2019: Resources to Benchmark Tabular Data to Knowledge Graph Matching Systems".
- Paper.88 label "SemTab 2019: Resources to Benchmark Tabular Data to Knowledge Graph Matching Systems".
- GEval:_a_Modular_and_Extensible_Evaluation_Framework_for_Graph_Embedding_Techniques label "GEval: a Modular and Extensible Evaluation Framework for Graph Embedding Techniques".
- YAGO_4:_A_Reason-able_Knowledge_Base label "YAGO 4: A Reason-able Knowledge Base".
- Paper.110 label "YAGO 4: A Reason-able Knowledge Base".
- A_Knowledge_Graph_for_Industry_4.0 label "A Knowledge Graph for Industry 4.0".
- Paper.169 label "A Knowledge Graph for Industry 4.0".
- MetaLink:_A_Travel_Guide_to_the_LOD_Cloud label "MetaLink: A Travel Guide to the LOD Cloud".
- Paper.230 label "MetaLink: A Travel Guide to the LOD Cloud".
- Applying_Knowledge_Graphs_as_Integrated_Semantic_Information_Model_for_the_Computerized_Engineering_of_Building_Automation_Systems label "Applying Knowledge Graphs as Integrated Semantic Information Model for the Computerized Engineering of Building Automation Systems".
- Paper.102 label "Applying Knowledge Graphs as Integrated Semantic Information Model for the Computerized Engineering of Building Automation Systems".
- Astrea:_automatic_generation_of_SHACL_shapes_from_ontologies label "Astrea: automatic generation of SHACL shapes from ontologies".
- Paper.180 label "Astrea: automatic generation of SHACL shapes from ontologies".
- SAShA:_Semantic-Aware_Shilling_Attacks_on_Recommender_Systems_exploiting_Knowledge_Graphs label "SAShA: Semantic-Aware Shilling Attacks on Recommender Systems exploiting Knowledge Graphs".
- Paper.251 label "SAShA: Semantic-Aware Shilling Attacks on Recommender Systems exploiting Knowledge Graphs".
- Supporting_complex_decision_making_by_semantic_technologies label "Supporting complex decision making by semantic technologies".
- Paper.11 label "Supporting complex decision making by semantic technologies".
- On_Modeling_The_Physical_World_as_a_Collection_of_Things:_the_W3C_Thing_Description_Ontology label "On Modeling The Physical World as a Collection of Things: the W3C Thing Description Ontology".
- Paper.43 label "On Modeling The Physical World as a Collection of Things: the W3C Thing Description Ontology".
- Piveau:_A_Large-scale_Open_Data_Management_Platform_based_on_Semantic_Web_Technologies label "Piveau: A Large-scale Open Data Management Platform based on Semantic Web Technologies".
- Paper.60 label "Piveau: A Large-scale Open Data Management Platform based on Semantic Web Technologies".
- Fast_and_Exact_Rule_Mining_with_AMIE_3 label "Fast and Exact Rule Mining with AMIE 3".
- Paper.120 label "Fast and Exact Rule Mining with AMIE 3".
- Fostering_Scientific_Meta-Analyses_with_Knowledge_Graphs_:_a_Case-Study label "Fostering Scientific Meta-Analyses with Knowledge Graphs : a Case-Study".
- Paper.53 label "Fostering Scientific Meta-Analyses with Knowledge Graphs : a Case-Study".
- Estimating_Characteristic_Sets_for_RDF_Dataset_Profiles_based_on_Sampling label "Estimating Characteristic Sets for RDF Dataset Profiles based on Sampling".
- Paper.196 label "Estimating Characteristic Sets for RDF Dataset Profiles based on Sampling".
- Uli_Slattler label "Uli Slattler".
- keynote-uli-sattler label "Modularity in OWL".
- Session_1_Query_Processing label "Session 1: Query Processing".
- Session_2_Knowledge_Extraction_and_Recommendation_1 label "Session 2: Knowledge Extraction and Recommendation 1".
- Session_3_Knowledge_Extraction_and_Recommendation_2 label "Session 3: Knowledge Extraction and Recommendation 2".
- Session_4_Machine_Learning label "Session 4: Machine Learning".
- Session_5_Natural_Language_Processing label "Session 5: Natural Language Processing".
- Session_6_Reasoning label "Session 6: Reasoning".
- Industry_track_papers label "Industry track papers".
- Session_7_Ontology_Engineering_and_Alignment label "Session 7: Ontology Engineering and Alignment".
- Session_8_Search_and_Question_Answering label "Session 8: Search and Question Answering".
- Session_9_Benchmarking label "Session 9: Benchmarking".
- Session_10_Knowledge_Graphs_and_Linked_Data label "Session 10: Knowledge Graphs and Linked Data".
- Session_11_Knowledge_Graphs_and_Constraints label "Session 11: Knowledge Graphs and Constraints".