Final ISWC 2022 Program
News: The three Keynotes and two Panels will be live and not subject to any registration restrictions. Welcome everyone interested in these events to join. Please see this page for more details.
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Tuesday, 25 October
Wednesday, 26 October
Thursday, 27 October
Tuesday, 25 October
Eastern Daylight Time – EDT (US)Central European Summer Time – CEST (EU)China Standard Time – CST (China)
TIME
EDT / CEST / CST
Title
04:30-05:3010:30-11:3016:30-17:30
Break – 10 Minutes
05:40-06:4011:40-12:4017:40-18:40
Main Track 1a: KG Construction & Use
Agnieszka Ławrynowicz
[Zoom Link] / Breakout Room Name: MAIN TRACK 1A[127]1. Leveraging Knowledge Graph Technologies to Assess Journals and Conferences at Springer Nature
[Video][Candidate Best Papers][245]2. ISSA: Generic Pipeline, Knowledge Model and Visualization tools to Help Scientists Search and Make Sense of a Scientific Archive
[Video][275]3. CS-KG: A Large-Scale Knowledge Graph of Research Entities and Claims in Computer Science
[Video]
05:40-06:4011:40-12:4017:40-18:40
Main Track 1b: KG Completeness
Djellel Difallah
[Zoom Link] / Breakout Room Name: MAIN TRACK 1B
[359]1. Introducing Semantic Information for Numerical Attribute Prediction over Knowledge Graphs
[Video][473]2. An Analysis of Content Gaps versus User Needs in the Wikidata Knowledge Graph
[Video][320]3. GNNQ: A Neuro-Symbolic Approach for Query Answering over Incomplete Knowledge Graphs
[Video]
05:40-06:4011:40-12:4017:40-18:40
Semantic Web Challenge 1(I)
Daniele Dell’Aglio, Catia Pesquita
[Zoom Link] / Breakout Room Name: SEMANTIC WEB CHALLANGE 1(I)
SemTab: Semantic Web Challenge on Tabular Data to Knowledge Graph Matching
Kavitha Srinivas, Ernesto Jiménez-Ruiz, Oktie Hassanzadeh, Jiaoyan Chen, Vasilis Efthymiou, Vincenzo Cutrona, Juan Sequeda, Nora Abdelmageed, Madelon Hulsebos
Break – 10 Minutes
06:50-07:5012:50-13:5018:50-19:50
Main Track 2a: Embeddings (I)
Pierre Monnin
[Zoom Link] / Breakout Room Name: MAIN TRACK 2A[382]1. EaT-PIM: Substituting Entities in Procedural Instructions using Flow Graphs and Embeddings
[Video][205]2. Heterogeneous Graph Neural Network with Hypernetworks for Knowledge Graph Embedding
[Video][291]3. μKG: A Library for Multi-source Knowledge Graph Embeddings and Applications
[Video]
06:50-07:5012:50-13:5018:50-19:50
Main Track 2b: Ontologies & KGs for Manufacturing
Peter Haase
[Zoom Link] / Breakout Room Name: MAIN TRACK 2B[59]1. Ontology Reshaping System for Knowledge Graph Construction: Applied on Bosch Welding Case
[Video][134]2. SeLoC-ML: Semantic Low-Code Engineering for Machine Learning Applications in Industrial IoT
[Video][221]3. Executable Knowledge Graph for Machine Learning: A Bosch Case for Welding Monitoring
[Video]
06:50-07:5012:50-13:5018:50-19:50
Semantic Web Challenge 1(II)
Daniele Dell’Aglio, Catia Pesquita
[Zoom Link] / Breakout Room Name: SEMANTIC WEB CHALLANGE 2(II)
SemTab: Semantic Web Challenge on Tabular Data to Knowledge Graph Matching
Kavitha Srinivas, Ernesto Jiménez-Ruiz, Oktie Hassanzadeh, Jiaoyan Chen, Vasilis Efthymiou, Vincenzo Cutrona, Juan Sequeda, Nora Abdelmageed, Madelon Hulsebos
(contd.)
Break – 10 Minutes
08:00-09:0014:00-15:0020:00-21:00
Keynote: “AI Ethics in the Semantic Web”[slides]Francesca Rossi — IBM Fellow and the IBM AI Ethics Global Leader
Uli Sattler
[Zoom Link]
Break – 10 Minutes
09:10-10:1015:10-16:1021:10-22:10
Main Track 3a: Biomedical Ontologies & KGs
Catia Pesquita
[Zoom Link] / Breakout Room Name: MAIN TRACK 3A
1. A Survey of Syntactic Modelling Structures in Biomedical Ontologies
[Video]2. Machine Learning-Friendly Biomedical Datasets for Equivalence and Subsumption Ontology Matching
[Video][Candidate Best Papers]3. IMGT-KG: a knowledge graph for immunogenetics
[Video]
09:10-10:1015:10-16:1021:10-22:10
Main Track 3b: Linked Data
Maribel Acosta
[Zoom Link] / Breakout Room Name: MAIN TRACK 3B[391]1. LODChain: Strengthen the Connectivity of your RDF Dataset to the Rest LOD Cloud
[Video][Candidate Best Papers][308]2. Reproducibility Crisis in the LOD Cloud: Studying the Impact of Ontology Accessibility and Archiving as a Counter Measure
[Video][313]3. RMLStreamer – an RDF stream generator from streaming heterogeneous data
[Video]
09:10-10:1015:10-16:1021:10-22:10
Industry Track 1
Annalisa Gentile, Petar Ristoski
[Zoom Link] / Breakout Room Name: INDUSTRY TRACK 1
1. Welcome & Opening Remarking[234]2. Driving Scientific Discovery with Knowledge Graphs and AI in Life Sciences[310]3. Knowledge Graph – Our Secret Recipe for Entity Disambiguation
[Video]4. Knowledge-Based News Event Analysis Toolkit
[Video]5. RDF2TigerGraph: Towards Supporting RDF in TigerGraph Property Graph Database
[Video]6. The Knowledge Graph Lifecycle in NTT DATA
[Video]
Break – 10 Minutes
10:20-11:2016:20-17:2022:20-23:30
Panel: “Is the Deep Learning hype good or bad for the Semantic Web?”Panelists:
Alessandro Oltramari — Bosch Research and Technology Center & Bosch Center for Artificial Intelligence
Gary Marcus — New York University; Founder of Geometric Intelligence (acquired by Uber)
Ilaria Tiddi — Vrije Universiteit Amsterdam
Juanzi Li — Tsinghua University
Pascal Hitzler
[Zoom Link]
Wednesday, 26 October
Eastern Daylight Time – EDT (US)Central European Summer Time – CEST (EU)China Standard Time – CST (China)
TIME
EDT / CEST / CST
Title
04:30-05:3010:30-11:3016:30-17:30
Main Track 4a: NLP (I)
Nadine Steinmetz
[Zoom Link] / Breakout Room Name: MAIN TRACK 4A
[259]1. Enhancing Document-level Relation Extraction by Entity Knowledge Injection
[Video][128]2. Knowledge Graph Induction enabling Recommending and Trend Analysis: A Corporate Research Community Use Case
[Video][Candidate Best Papers][348]3. RT-KGD: Relation Transition Aware Knowledge-Grounded Dialogue Generation
[Video]
04:30-05:3010:30-11:3016:30-17:30
Main Track 4b: Ontologies (I)
Valentina Tamma
[Zoom Link] / Breakout Room Name: MAIN TRACK 4B
[273]1. Agree to Disagree: Managing Ontological Perspectives using Standpoint Logic
[Video][293]2. Efficient Dependency Analysis for Rule-Based Ontologies
[Video][Candidate Best (Student) Papers][100]3. Controlled query evaluation in OWL 2 QL: A “Longest Honeymoon” Approach
[Video]
04:30-05:3010:30-11:3016:30-17:30
Semantic Web Challenge 2
Daniele Dell’Aglio, Catia Pesquita
[Zoom Link] / Breakout Room Name: SEMANTIC WEB CHALLANGE 2(II)
SemRec: Semantic Reasoning Evaluation Challenge
Gunjan Singh, Raghava Mutharaju, Pavan Kapanipathi
Break – 10 Minutes
05:40-07:5011:40-13:5017:40-19:50
Break – 10 Minutes
08:00-09:0014:00-15:0020:00-21:00
Keynote: “Data, Ontologies, Rules, and the Return of the Blank Node”[slides]Markus Krötzsch — TU Dresden
Aidan Hogan
[Zoom Link]
Break – 10 Minutes
09:10-10:1015:10-16:1021:10-22:10
Main Track 5a: Embeddings (II)
Ernesto Jiménez-Ruiz
[Zoom Link] / Breakout Room Name: MAIN TRACK 5A
[204]1. Radar Station: Using KG Embeddings for Semantic Table Interpretation and Entity Disambiguation
[Video]
[215]2. LoGNet: Local and Global Triple Embedding Network
[Video]
[222]3. The DLCC Node Classification Benchmark for Analyzing Knowledge Graph Embeddings
[Video]
09:10-10:1015:10-16:1021:10-22:10
Main Track 5b: Ontologies (II)
Vojtěch Svátek
[Zoom Link] / Breakout Room Name: MAIN TRACK 5B
[319]1. Semantic Knowledge Graphs for Distributed Data Spaces: the Public Procurement Pilot Experience
[Video][196]2. Faithful Embeddings for EL++ Knowledge Bases
[Video][Candidate Best (Student) Papers][342]3. POSO: A Generic Positioning System Ontology
[Video]
09:10-10:1015:10-16:1021:10-22:10
Industry Track 2
Annalisa Gentile, Petar Ristoski
[Zoom Link] / Breakout Room Name: INDUSTRY TRACK 2
1. Welcome & Opening Remarking[234]2. Compiling and inferring from economic networks[310]3. Versioned Objects
[Video]
4. Rapid Explainability for Skill Description Learning
[Video]5. Neuro-Symbolic AI at Bosch: Data Foundation, Insights, and Deployment
[Video]6. MetaverseKG: Knowledge Graph for Engineering and Design Application in Industrial Metaverse
[Video]
Break – 10 Minutes
10:20-11:2016:20-17:2022:20-23:20
Main Track 6a: NLP (II)
Francesco Osborne
[Zoom Link] / Breakout Room Name: MAIN TRACK 6A
[92]1. WDV: A Broad Data Verbalisation Dataset Built from Wikidata
[Video][Candidate Best Papers][136]2. MultPAX: Keyphrase Extraction using Language Models and Knowledge Graphs
[Video][138]3. REBench: Microbenchmarking Framework for Relation Extraction Systems
[Video]
10:20-11:2016:20-17:2022:20-23:20
Main Track 6b: Querying
François Scharffe
[Zoom Link] / Breakout Room Name: MAIN TRACK 6B
[92]1. Hashing the Hypertrie: Space- and Time-Efficient Indexing for SPARQL in Tensors
[Video][136]2. WDBench: A Wikidata Graph Query Benchmark
[Video][138]3. Strabo 2: Distributed Management of Massive Geospatial RDF Datasets Research
[Video]
Thursday, 27 October
Eastern Daylight Time – EDT (US)Central European Summer Time – CEST (EU)China Standard Time – CST (China)
TIME
EDT / CEST / CST
Title
04:30-05:3010:30-11:3016:30-17:30
Main Track 7a: KG Refinement & Scale
Christian Kindermann
[Zoom Link] / Breakout Room Name: MAIN TRACK 7A
[239]1. Entity Type Prediction Leveraging Graph Walks and Entity Descriptions
[Video][292]2. Scaling Knowledge Graphs for Automating AI of Digital Twins
[Video][189]3. Facing Changes: Continual Entity Alignment for Growing Knowledge Graphs
[Video]
04:30-05:3010:30-11:3016:30-17:30
Main Track 7b: Temporal KGs
Enrico Daga
[Zoom Link] / Breakout Room Name: MAIN TRACK 7B
[226]1. H2TNE: Temporal Heterogeneous Information Network Embedding in Hyperbolic Spaces
[Video][297]2. CRNet: Modeling Concurrent Events over Temporal Knowledge Graphs
[Video][229]3. Each Snapshot to Each Space: Space Adaptation for Temporal Knowledge Graph Completion
[Video][Candidate Best (Student) Papers]
04:30-05:3010:30-11:3016:30-17:30
Semantic Web Challenge 3
Daniele Dell’Aglio, Catia Pesquita
[Zoom Link] / Breakout Room Name: SEMANTIC WEB CHALLENGE 3
LM-KBC: Knowledge Base Construction from Pre-trained Language Models
Sneha Singhania, Tuan-Phong Nguyen, Simon Razniewski
Break – 10 Minutes
05:40-06:4011:40-12:4017:40-18:40
Main Track 8a: Learning Representations
Mehwish Alam
[Zoom Link] / Breakout Room Name: MAIN TRACK 8A
1. Towards Neural Network Interpretability using Commonsense Knowledge Graphs
[Video]2. HCL: Improving Graph Representation with Hierarchical Contrastive Learning
[Video]3. Infusing Contextual Knowledge Graphs for Visual Object Recognition
[Video]
05:40-06:4011:40-12:4017:40-18:40
Main Track 8b: Graph Validation
Maria Vanina Martinez
[Zoom Link] / Breakout Room Name: MAIN TRACK 8B
1. Repairing SHACL Constraint Violations using Answer Set Programming
[Video]2. HybridFC: A hybrid approach to perform Fact Checking over Knowledge Graphs
[Video]3. Mapping Relational Database Constraints to SHACL
[Video]
05:40-06:4011:40-12:4017:40-18:40
Semantic Web Challenge 4
Daniele Dell’Aglio, Catia Pesquita
[Zoom Link] / Breakout Room Name: SEMANTIC WEB CHALLENGE 4
SMART Task 3.0: Subtasks for Question Answering over Knowledge Graph
Nandana Mihindukulas, Mohnish Dubey, Alfio Gliozzo, Jens Lehmann, Axel-Cyrille Ngonga Ngomo, Ricardo Usbeck, Gaetano Rossiello, Uttam Kumar, Debayan Banerjee
Break – 10 Minutes
06:50-07:5012:50-13:5018:50-19:50
Break – 10 Minutes
08:00-09:0014:00-15:0020:00-21:00
Keynote: “Circular Health”Ilaria Capua — One Health Center of Excellence, University of Florida
Claudia d’Amato
[Zoom Link]
Break – 10 Minutes
09:10-10:1015:10-16:1021:10-22:10
Panel: “Knowledge Graphs for The Physical World: What is Missing?”Panelists:
Cori Henson — Bosch Research Center
Ganesh Ramanathan — Siemens, Zurich
María Poveda Villalón — Universidad Politécnica de Madrid
Michael Beetz — University of Bremen
Steffen Staab
[Zoom Link]
Break – 10 Minutes
10:20-11:2016:20-17:2022:20-23:20