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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Sunday, 23 October
Monday, 24 October
Tuesday, 25 October
Wednesday, 26 October
Thursday, 27 October
Sunday, 23 October
Eastern Daylight Time – EDT (US)Central European Summer Time – CEST (EU)China Standard Time – CST (China)
TIME
EDT / CEST / CST
Title
WORKSHOPS
04:00-08:0010:00-14:0016:00-20:00
[1]1.The 17th International Workshop on Ontology Matching (OM)Pavel Shvaiko, Jérôme Euzenat, Ernesto Jimenez-Ruiz, Oktie Hassanzadeh and Cassia Trojahn
[3]2.International Workshop on Artificial Intelligence Technologies for Legal Documents (AI4LEGAL)María Navas-Loro, Manolis Koubarakis, Ken Satoh and Sabrina Kirrane
[5]3.The 8th Workshop on Managing the Evolution and Preservation of the Data Web (MEPDaW)Fabrizio Orlandi, Damien Graux, Emetis Niazmand and Maria Esther Vidal
[9]4.The 6th Workshop on Storing, Querying and Benchmarking Knowledge Graphs (QuWeDa)Muhammad Saleem and Axel-Cyrille Ngonga Ngomo
[3]2.International Workshop on Artificial Intelligence Technologies for Legal Documents (AI4LEGAL)María Navas-Loro, Manolis Koubarakis, Ken Satoh and Sabrina Kirrane
[5]3.The 8th Workshop on Managing the Evolution and Preservation of the Data Web (MEPDaW)Fabrizio Orlandi, Damien Graux, Emetis Niazmand and Maria Esther Vidal
[9]4.The 6th Workshop on Storing, Querying and Benchmarking Knowledge Graphs (QuWeDa)Muhammad Saleem and Axel-Cyrille Ngonga Ngomo
08:00-12:0014:00-18:0020:00-24:00
[1]1.The 17th International Workshop on Ontology Matching (OM)Pavel Shvaiko, Jérôme Euzenat, Ernesto Jimenez-Ruiz, Oktie Hassanzadeh and Cassia Trojahn
[3]2.International Workshop on Artificial Intelligence Technologies for Legal Documents (AI4LEGAL)María Navas-Loro, Manolis Koubarakis, Ken Satoh and Sabrina Kirrane
[4]3.The 7th International Workshop on Visualization and Interaction for Ontologies and Linked Data (VOILA)Bo Fu, Patrick Lambrix and Catia Pesquita
[10]4.Musical Heritage Knowledge GraphsValentina Presutti, Michel Buffa, Luc Steels, Jean-François Trubert, Enrico Daga and Albert Meroño Peñuela
[3]2.International Workshop on Artificial Intelligence Technologies for Legal Documents (AI4LEGAL)María Navas-Loro, Manolis Koubarakis, Ken Satoh and Sabrina Kirrane
[4]3.The 7th International Workshop on Visualization and Interaction for Ontologies and Linked Data (VOILA)Bo Fu, Patrick Lambrix and Catia Pesquita
[10]4.Musical Heritage Knowledge GraphsValentina Presutti, Michel Buffa, Luc Steels, Jean-François Trubert, Enrico Daga and Albert Meroño Peñuela
TUTORIALS
04:00-08:0010:00-14:0016:00-20:00
[1]1.Knowledge-aware Zero-shot Learning (K-ZSL): Concepts, Methods and ResourcesJiaoyan Chen, Yuxia Geng, Yufeng Huang and Huajun Chen
[5]2.Artificial Intelligence Techniques for Earth Observation Data (AI4EO)Manolis Koubarakis, Begüm Demir, Dimitris Bilidas, Theofilos Ioannidis, Despina-Athanasia Pantazi, Dharmen Punjani, George Papadakis, George Stamoulis and Eleni Tsalapati
[5]2.Artificial Intelligence Techniques for Earth Observation Data (AI4EO)Manolis Koubarakis, Begüm Demir, Dimitris Bilidas, Theofilos Ioannidis, Despina-Athanasia Pantazi, Dharmen Punjani, George Papadakis, George Stamoulis and Eleni Tsalapati
08:00-12:0014:00-18:0020:00-24:00
[3]1.A Beginner’s Guide to Reasoning: How to reason your way to better dataValerio Cocchi
[5]2.Artificial Intelligence Techniques for Earth Observation Data (AI4EO)Manolis Koubarakis, Begüm Demir, Dimitris Bilidas, Theofilos Ioannidis, Despina-Athanasia Pantazi, Dharmen Punjani, George Papadakis, George Stamoulis and Eleni Tsalapati
[5]2.Artificial Intelligence Techniques for Earth Observation Data (AI4EO)Manolis Koubarakis, Begüm Demir, Dimitris Bilidas, Theofilos Ioannidis, Despina-Athanasia Pantazi, Dharmen Punjani, George Papadakis, George Stamoulis and Eleni Tsalapati
Monday, 24 October
Eastern Daylight Time – EDT (US)Central European Summer Time – CEST (EU)China Standard Time – CST (China)
TIME
EDT / CEST / CST
Title
WORKSHOPS
04:00-08:0010:00-14:0016:00-20:00
[2]1.Doctoral Consortium
Olaf Hartig and Oshani Seneviratne
[8] 2.International Workshop on Knowledge Graph Summarization (KGSum)Carlos Badenes-Olmedo, Jose Luís Redondo-García, Nandana Mihindukulasooriya and Maribel Acosta
[6]3.Workshop on Deep Learning for Knowledge Graphs (DL4KG)Mehwish Alam, Davide Buscaldi, Michael Cochez, Francesco Osborne, Diego Reforgiato Recupero and Harald Sack
[8] 2.International Workshop on Knowledge Graph Summarization (KGSum)Carlos Badenes-Olmedo, Jose Luís Redondo-García, Nandana Mihindukulasooriya and Maribel Acosta
[6]3.Workshop on Deep Learning for Knowledge Graphs (DL4KG)Mehwish Alam, Davide Buscaldi, Michael Cochez, Francesco Osborne, Diego Reforgiato Recupero and Harald Sack
08:00-12:0014:00-18:0020:00-24:00
[2]1.Doctoral Consortium
Olaf Hartig and Oshani Seneviratne
[8]2.Wikidata WorkshopLucie-Aimée Kaffee, Simon Razniewski, Kholoud Alghamdi and Gabriel Maia Rocha Amaral
[6]3.Workshop on Deep Learning for Knowledge Graphs (DL4KG)Mehwish Alam, Davide Buscaldi, Michael Cochez, Francesco Osborne, Diego Reforgiato Recupero and Harald Sack
[2]4.The 13th Workshop on Ontology Design and Patterns (WOP)Vojtěch Svátek, Valentina Anita Carriero, María Poveda-Villalón, Christian Kindermann and Lu Zhou
[8]2.Wikidata WorkshopLucie-Aimée Kaffee, Simon Razniewski, Kholoud Alghamdi and Gabriel Maia Rocha Amaral
[6]3.Workshop on Deep Learning for Knowledge Graphs (DL4KG)Mehwish Alam, Davide Buscaldi, Michael Cochez, Francesco Osborne, Diego Reforgiato Recupero and Harald Sack
[2]4.The 13th Workshop on Ontology Design and Patterns (WOP)Vojtěch Svátek, Valentina Anita Carriero, María Poveda-Villalón, Christian Kindermann and Lu Zhou
TUTORIALS
04:00-08:0010:00-14:0016:00-20:00
[2]Tutorial on Semantic Schema Discovery: Principles, Methods and Future Research DirectionsKenza Kellou-Menouer, Nikolaos Kardoulakis, Georgia Troullinou, Zoubida Kedad, Dimitris Plexousakis and Haridimos Kondylakis
08:00-12:0014:00-18:0020:00-24:00
[4]Knowledge-infused Learning for Autonomous Driving (KL4AD)Ruwan Wickramarachchi, Cory Henson, Sebastian Monka, Daria Stepanova and Amit Sheth
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
Opening Ceremony
Claudia d’Amato
Break – 10 Minutes
05:40-06:4011:40-12:4017:40-18:40
Main Track 1a: KG Construction & Use
Agnieszka Ławrynowicz
[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
[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
SemTab: Semantic Web Challenge on Tabular Data to Knowledge Graph Matching
Break – 10 Minutes
06:50-07:5012:50-13:5018:50-19:50
Main Track 2a: Embeddings (I)
Pierre Monnin
[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
[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
SemTab: Semantic Web Challenge on Tabular Data to Knowledge Graph Matching
(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
Break – 10 Minutes
09:10-10:1015:10-16:1021:10-22:10
Main Track 3a: Biomedical Ontologies & KGs
Catia Pesquita
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
[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
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 [Slides]
Gary Marcus — New York University; Founder of Geometric Intelligence (acquired by Uber)
Ilaria Tiddi — Vrije Universiteit Amsterdam[Slides]
Juanzi Li — Tsinghua University[Slides]
Pascal Hitzler
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[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[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 PesquitaSemRec: Semantic Reasoning Evaluation Challenge
Break – 10 Minutes
05:40-07:5011:40-13:5017:40-19:50
Poster & Demo Session / Lightning Talks
Anastasia Dimou, Armin Haller
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
Break – 10 Minutes
09:10-10:1015:10-16:1021:10-22:10
Main Track 5a: Embeddings (II)
Ernesto Jiménez-Ruiz[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[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 Ristoski1. 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[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
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[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[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 PesquitaLM-KBC: Knowledge Base Construction from Pre-trained Language Models
Break – 10 Minutes
05:40-06:4011:40-12:4017:40-18:40
05:40-06:4011:40-12:4017:40-18:40
05:40-06:4011:40-12:4017:40-18:40
Semantic Web Challenge 4
Daniele Dell’Aglio, Catia PesquitaSMART Task 3.0: Subtasks for Question Answering over Knowledge Graph
Break – 10 Minutes
06:50-07:5012:50-13:5018:50-19:50
Town Hall
Claudia d’Amato, Aidan Hogan, Uli Sattler
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
Break – 10 Minutes
09:10-10:1015:10-16:1021:10-22:10
Panel: “Knowledge Graphs for The Physical World: What is Missing?” [slides]Panelists:
Cory Henson — Bosch Research Center
Ganesh Ramanathan — Siemens, Zurich
María Poveda Villalón — Universidad Politécnica de Madrid
Michael Beetz — University of Bremen
Steffen Staab
Break – 10 Minutes
10:20-11:2016:20-17:2022:20-23:20
Closing Ceremony
Claudia d’Amato