About
The goal of the Semantic Web is to create a Web of knowledge and services in which the semantics of content is made explicit and content is linked to both other content and services allowing novel applications to combine content from heterogeneous sites in unforeseen ways and support enhanced matching between users needs and content. This network of knowledge-based functionality will weave together a large network of human knowledge, and make this knowledge machine-processable to support intelligent behaviour by machines. Creating such an interlinked Web of knowledge which spans unstructured text, structured data (e.g. RDF) as well as multimedia content and services requires the collaboration of many disciplines, including but not limited to: Artificial Intelligence, Natural Language Processing, Databases and Information Systems, Information Retrieval, Machine Learning, Multimedia, Distributed Systems, Social Networks, Web Engineering, and Web Science.
For more information about the event please visit the ESWC 2020 website.
Related categories
Uploaded videos:
Keynote
Graph First, Semantics follows
Jan 28, 2021
·
24 Views
Modularity in OWL
Feb 09, 2021
·
17 Views
Language, Ontology, And the Semantic Web
Feb 09, 2021
·
36 Views
Minute madness
Minute Madness
Jun 01, 2020
·
161 Views
Session 1: Query Processing
Processing SPARQL Aggregates Queries with Web Preemption
May 25, 2020
·
94 Views
Equivalent Rewritings on Path Views with Binding Patterns
May 25, 2020
·
64 Views
StreamPipes Connect: Semantics-Based Edge Adapters for the Industrial IoT
May 25, 2020
·
68 Views
Session 2: Knowledge Extraction and Recommendation 1
Entity Extraction from Wikipedia List Pages
May 25, 2020
·
73 Views
Building Linked Spatio-Temporal Data from Vectorized Historical Maps
May 27, 2020
·
56 Views
SchemaTree: Maximum-likelihood Property Recommendation for Wikidata
May 25, 2020
·
45 Views
Session 3: Knowledge Extraction and Recommendation 2
Entity Summarization with User Feedback
May 25, 2020
·
81 Views
Detecting Synonymous Properties by Shared Data-driven Definitions
May 25, 2020
·
66 Views
Incremental Multi-source Entity Resolution for Knowledge Graph Completion
May 25, 2020
·
54 Views
Session 4: Machine Learning
Hyperbolic Knowledge Graph Embeddings for Knowledge Base Completion
May 25, 2020
·
71 Views
Unsupervised Bootstrapping of Active Learning for Entity Resolution
May 25, 2020
·
72 Views
Embedding-based Recommendations on Scholarly Knowledge Graphs
May 25, 2020
·
72 Views
Session 5: Natural Language Processing
SASOBUS: Semi-automatic Sentiment Domain Ontology Building Using Synsets
May 25, 2020
·
43 Views
Entity Linking and Lexico-Semantic Patterns for Ontology Learning
May 25, 2020
·
57 Views
Session 6: Reasoning
Hybrid Reasoning Over Large Knowledge Bases Using On-The-Fly Knowledge Extractio...
May 27, 2020
·
73 Views
A Simple Method for Inducing Class Taxonomies in Knowledge Graphs
May 25, 2020
·
47 Views
Handling Impossible Derivations during Stream Reasoning
May 25, 2020
·
32 Views
Session 7: Ontology Engineering and Alignment
The Knowledge Graph Track at OAEI - Gold Standards, Baselines, and the Golden Ha...
May 25, 2020
·
49 Views
Modular Graphical Ontology Engineering Evaluated
May 25, 2020
·
79 Views
Investigating Software Usage in the Social Sciences: A Knowledge Graph Approach
May 25, 2020
·
44 Views
Session 8: Search and Question Answering
QAnswer KG: Creating On-Demand Question Answering Systems on Top of RDF Data
May 25, 2020
·
45 Views
Keyword Search over RDF using Document-centric Information Retrieval Systems
May 27, 2020
·
53 Views
VQuAnDa: Verbalization QUestion ANswering DAtaset
May 25, 2020
·
49 Views
Session 9: Benchmarking
ESBM: An Entity Summarization BenchMark
May 25, 2020
·
45 Views
SemTab 2019: Resources to Benchmark Tabular Data to Knowledge Graph Matching Sys...
May 25, 2020
·
58 Views
A Modular and Extensible Evaluation Framework for Graph Embedding Techniques
May 25, 2020
·
45 Views
Session 10: Knowledge Graphs and Linked Data
YAGO 4: A Reason-able Knowledge Base
May 25, 2020
·
93 Views
A Knowledge Graph for Industry 4.0
May 25, 2020
·
104 Views
MetaLink: A Travel Guide to the LOD Cloud
May 25, 2020
·
75 Views
Session 11: Knowledge Graphs and Constraints
Applying Knowledge Graphs as Integrated Semantic Information Model for the Compu...
May 25, 2020
·
38 Views
Astrea: automatic generation of SHACL shapes from ontologies
May 25, 2020
·
73 Views
SAShA: Semantic-Aware Shilling Attacks on Recommender Systems exploiting Knowled...
May 25, 2020
·
114 Views
Session 12: In use
Supporting complex decision making by semantic technologies
May 25, 2020
·
43 Views
On Modeling The Physical World as a Collection of Things: the W3C Thing Descript...
May 25, 2020
·
45 Views
Piveau: A Large-scale Open Data Management Platform based on Semantic Web Techno...
May 25, 2020
·
67 Views
Session 13: Mining and analysis
Fast and Exact Rule Mining with AMIE 3
May 25, 2020
·
52 Views
Fostering Scientific Meta-Analyses with Knowledge Graphs : a Case-Study
May 25, 2020
·
30 Views
Estimating Characteristic Sets for RDF Dataset Profiles based on Sampling
May 25, 2020
·
62 Views
Industry track papers:
Semantic Data Integration for the SMT Manufacturing Process using SANSA Stack
May 27, 2020
·
42 Views
Enabling Digital Business Transformation through an enterprise Knowledge Graph
May 27, 2020
·
75 Views
Knowledge Graph-based Legal Search over German Court Cases
May 27, 2020
·
114 Views
Enabling FAIR Clinical Data Standards with Linked Data
May 27, 2020
·
64 Views