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17th Extended Semantic Web Conference (ESWC), 2020

17th Extended Semantic Web Conference (ESWC), 2020

46 Videos · Jun 2, 2020

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.

Videos

Keynote

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01:20:39

Language, Ontology, And the Semantic Web

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50:00

Graph First, Semantics follows

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56:47

Modularity in OWL

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Minute madness

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36:18

Minute Madness

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Session 1: Query Processing

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29:00

Equivalent Rewritings on Path Views with Binding Patterns

Julien Romero

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29:30

StreamPipes Connect: Semantics-Based Edge Adapters for the Industrial IoT

Philipp Zehnder

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28:12

Processing SPARQL Aggregates Queries with Web Preemption

Pascal Molli

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Session 2: Knowledge Extraction and Recommendation 1

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29:33

SchemaTree: Maximum-likelihood Property Recommendation for Wikidata

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28:46

Building Linked Spatio-Temporal Data from Vectorized Historical Maps

Basel Shbita

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29:54

Entity Extraction from Wikipedia List Pages

Nicolas Heist

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Session 3: Knowledge Extraction and Recommendation 2

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19:39

Detecting Synonymous Properties by Shared Data-driven Definitions

Jan-Christoph Kalo

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21:30

Entity Summarization with User Feedback

Qingxia Liu

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29:32

Incremental Multi-source Entity Resolution for Knowledge Graph Completion

Alieh Saeedi

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Session 4: Machine Learning

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28:17

Unsupervised Bootstrapping of Active Learning for Entity Resolution

Anna Primpeli

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16:15

Hyperbolic Knowledge Graph Embeddings for Knowledge Base Completion

Prodomos Kolyvakis

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26:12

Embedding-based Recommendations on Scholarly Knowledge Graphs

Mojtaba Nayyeri

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Session 5: Natural Language Processing

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29:27

SASOBUS: Semi-automatic Sentiment Domain Ontology Building Using Synsets

Flavius Frasincar

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24:25

Entity Linking and Lexico-Semantic Patterns for Ontology Learning

Lama Saeeda

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Session 6: Reasoning

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28:41

Hybrid Reasoning Over Large Knowledge Bases Using On-The-Fly Knowledge Extractio...

Damir Sabol

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18:09

A Simple Method for Inducing Class Taxonomies in Knowledge Graphs

Marcin Pietrasik

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28:32

Handling Impossible Derivations during Stream Reasoning

Hamid Bazoobandi

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Session 7: Ontology Engineering and Alignment

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12:10

Modular Graphical Ontology Engineering Evaluated

Cogan Shimizu

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26:00

The Knowledge Graph Track at OAEI - Gold Standards, Baselines, and the Golden Ha...

Sven Hertling

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27:13

Investigating Software Usage in the Social Sciences: A Knowledge Graph Approach

David Schindler

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Session 8: Search and Question Answering

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22:29

VQuAnDa: Verbalization QUestion ANswering DAtaset

Endri Kacupaj

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24:43

QAnswer KG: Creating On-Demand Question Answering Systems on Top of RDF Data

Dennis Diefenbach

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26:26

Keyword Search over RDF using Document-centric Information Retrieval Systems

Giorgos Kadilierakis

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Session 9: Benchmarking

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16:29

SemTab 2019: Resources to Benchmark Tabular Data to Knowledge Graph Matching Sys...

Vasilis Efthymiou

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13:07

A Modular and Extensible Evaluation Framework for Graph Embedding Techniques

Maria Angela Pellegrino

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24:57

ESBM: An Entity Summarization BenchMark

Qingxia Liu

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Session 10: Knowledge Graphs and Linked Data

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29:57

MetaLink: A Travel Guide to the LOD Cloud

Wouter Beek

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29:26

A Knowledge Graph for Industry 4.0

Sebastian Bader

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21:49

YAGO 4: A Reason-able Knowledge Base

Thomas Pellissier Tanon

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Session 11: Knowledge Graphs and Constraints

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29:54

SAShA: Semantic-Aware Shilling Attacks on Recommender Systems exploiting Knowled...

Vito Walter Anelli

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29:43

Applying Knowledge Graphs as Integrated Semantic Information Model for the Compu...

Henrik Dibowski

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12:33

Astrea: automatic generation of SHACL shapes from ontologies

Andrea Cimmino Arriaga

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Session 12: In use

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29:54

Supporting complex decision making by semantic technologies

Stefan Fenz

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28:26

Piveau: A Large-scale Open Data Management Platform based on Semantic Web Techno...

Fabian Kirstein

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30:24

On Modeling The Physical World as a Collection of Things: the W3C Thing Descript...

Victor Charpenay

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Session 13: Mining and analysis

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25:05

Fast and Exact Rule Mining with AMIE 3

Jonathan Lajus

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29:51

Estimating Characteristic Sets for RDF Dataset Profiles based on Sampling

Lars Heling

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31:24

Fostering Scientific Meta-Analyses with Knowledge Graphs : a Case-Study

Ilaria Tiddi

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Industry track papers:

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10:29

Semantic Data Integration for the SMT Manufacturing Process using SANSA Stack

Mohamed Nadjib Mami

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08:25

Knowledge Graph-based Legal Search over German Court Cases

Ademar Crotti Junior

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12:36

Enabling FAIR Clinical Data Standards with Linked Data

Javier D. Fernández

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09:39

Enabling Digital Business Transformation through an enterprise Knowledge Graph

Christian Dirschl

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