Keynote: Data Management in Planet-Scale Hyperlinked Environments
Andreas Harth
Abstract: The web provides an infrastructure for publishing and linking of content on a global scale. Such a decentralised infrastructure is crucial for addressing many future use cases, such as reducing carbon emissions in manufacturing or analysing the supply chain for risks. The talk will outline how various data management operations can be implemented on such a decentralised infrastructure. Standards such as Linked Data, Social Linked Data (Solid) and Web of Things provide languages to facilitate accessing and manipulating graph-structured representations of the physical world. The talk will survey these recent standards and present systems and applications that operate over interfaces that adhere to these standards. The talk concludes with an outlook to future developments.
About the speaker: Andreas Harth is a professor of Technical Information Systems at the Friedrich-Alexander-Universität Erlangen-Nürnberg and leader of the department Data Spaces and Internet of Things Solutions at Fraunhofer IIS in Germany. He worked as a post-doctoral researcher at Institute AIFB at the Karlsruhe Institute of Technology (KIT) in Germany after pursuing a Ph.D. at the Digital Enterprise Research Institute (DERI) at the National University of Ireland, Galway.
His research interests are large-scale data interoperation on the Semantic Web, (Social) Linked Data, knowledge representation, computational logic and user interaction on web data. Andreas has published several dozen papers in these areas and is author of a number of open source software systems.
Andreas has successfully carried out numerous national and European projects and participated in the W3C Semantic Web Best Practices and Deployment, Rules Interchange Format and Spatial Data on the Web working groups. In addition, he served as a programme committee member of numerous conferences and was one of the co-organisers of the Consuming Linked Data (COLD) workshop series and the Semantic Web Challenge. He served as general chair of ESWC 2020, a major venue for discussing the latest scientific results and technology innovations around semantic technologies.
Workshop Program
DMKG 2023 is a half-day workshop, taking place at May 29, 2023, at 14:00-18:00 co-hosted at ESWC 2023 in Hersonissos, Greece. The full workshop schedule is as follows:
| Timing | Content |
|---|---|
| Session 1 (Chair: Olaf Hartig) | |
| 14:00-14:10 | Welcome |
| 14:10-15:10 | Keynote and Q&A on Data Management in Planet-Scale Hyperlinked Environments. Andreas Harth |
| 15:10-15:30 | Distributed Social Benefit Allocation using Reasoning over Personal Data in Solid Download. Jonni Hanski, Pieter Heyvaert, Ben De Meester, Ruben Taelman and Ruben Verborgh |
| 15:30-16:00 | Coffee Break |
| Session 2 (Chair: Christian Aebeloe) | |
| 16:00-16:30 | Content Negotiation in a Decentralised Semantic Context Utilising Equivalence Links Download. Yousouf Taghzouti, Maxime Lefrançois and Antoine Zimmermann |
| 16:30-17:00 | ORB: Empowering Graph Queries through Inference. Sonia Horchidan and Paris Carbone |
| 17:00-17:30 | A Cost Model to Optimize Queries over Heterogeneous Federations of RDF Data Sources Download. Sijin Cheng and Olaf Hartig |
| 17:30-18:00 | A Performance Evaluation of OWL 2 DL Reasoners using ORE 2015 and Very Large Bio Ontologies Download. An Ngoc Lam, Brian Elvesæter and Francisco Martin-Recuerda |
| 18:00 | Closing |
Important Dates
Deadlines have been extended
March 16, 2023
Abstract submission deadline (new date)
March 9, 2023
March 23, 2023
Paper submission deadline (new date)
April 13, 2023
Notification of acceptance
April 20, 2023
May 12, 2023
Camera-ready version due
May 29, 2023
Workshop date
Call for Papers
The rapid increase in the adoption of knowledge graphs over the past years, both in the open data domain as well as the industry, means that data management solutions for knowledge graphs today have to support ever increasing amounts of data.
The continously growing KGs resulting from the increasing popularity of semantic technologies highlight the necessity for scalable and efficient solutions for management of knowledge graphs in distributed, federated, and centralized environments.
The DMKG workshop therefore invites novel research and advances in scalable data management solutions for large-scale knowledge graphs. Such data management solutions include techniques for storage and indexing, partitioning for decentralized/centralized systems, archiving and versioning, validation with SHACL/shEx, or federated data management. We welcome a broad range of papers including full research papers, vision papers, negative results, and system demonstrations.
The main goal of the workshop is to bring together both early-stage and established researchers as well as industrial partners in order to facilitate communication and collaboration between partners in different domains on the issues relating to scalable data management techniques for large-scale knowledge graphs.
We seek contributions covering all aspects of data management for knowledge graphs, including, but not limited to, the following topics:
Storage and Management
- Storing and indexing knowledge graphs
- Partitioning knowledge graphs
- Decentralized, distributed and federated knowledge graph storage
- Graph databases and NoSQL
- Archiving and versioning
Analytics and Exploration
- Knowledge graph validation (SHACL/shEx)
- Graph schema discovery and exploration
- Large-scale knokwledge graph analytics (GraphX, Giraph, Pergel, ...)
Querying and Benchmarking
- Efficient query processing
- Distributed and federated querying over knowledge graphs
- Querying over streaming graphs
- Benchmarking data mangement systems for knowledge graphs
Submission Instructions
We welcome a broad range of papers to the DMKG workshop. All papers must be original and not simultaneously submitted to another journal, conference, or workshop. We welcome the following paper categories (page limits include references):
- Research papers (up to 12 pages): Papers presenting significant scientific research pertaining to the topics specified above, incl. vision papers.
- Short papers (up to 6 pages): Position papers, negative results and papers describing systems, libraries, APIs and datasets.
- Demo/poster papers (up to 4 pages): Papers demonstrating systems or scientific results not significant enough for a full research paper.
Submission must be in English and formatted in the style of CEURART by CEUR-WS. For more information on using the CEURART style (single column), please visit the author guidelines. We accept PDF submissions.
Papers must be submitted via the following EasyChair link no later than March 9th at 23:59 Anywhere on Earth (UTC-12). All submissions will be reviewed by members of the program committee. Papers will be evaluated according to their significance, novelty, originality, technical contributions, writing style, clarity, and relevance the the topics of the workshop.
Organizing Committee
The workshop is organized by the following people.
Assistant Professor, Aalborg University
Christian is an Assistant Professor at Aalborg University. Previously, he has worked with storage, partitioning, versioning, and archiving of knowledge graphs in the decentralized setup, where he created novel architectures and techniques to manage RDF data in the setup. Moreover, he created novel query optimization techniques that increase query performance and scalability for such decentralized systems managing knowledge graphs.
@Chraebe@chraebe@mastodon.world
Research Associate, WU Vienna
Amr is a final year PhD student in informatics at TU Vienna, Austria, Additionally, he is a teaching and research associate at WU Vienna. Before his PhD studies, he worked as a research scientist at Nile University and Cairo University. Besides his academic career, he worked as a data scientist for 4 years at IBM. The current focus of his research is on scalable knowledge graphs, Web querying, and graph data management systems.
@AmrTarekAzzam
Senior Associate Professor, Linköping University
Olaf is a Senior Associate Professor in Computer Science at Linköping University, Sweden. Additionally, he is an Amazon Scholar working with the Neptune graph database team at Amazon Web Services. He is interested in problems related to the management of databases and knowledge, with a focus on data on the Web and on graph data, as well as on problems in which the data is distributed over multiple, autonomous and/or heterogeneous sources.
@olafhartig
Professor, Aalborg University
Katja is a professor in the Department of Computer Science at Aalborg University, Denmark, where she is leading the Data, Knowledge, and Web Engineering group. Prior to joining Aalborg University, she was a postdoc at the Max Planck Institute for Informatics in Saarbrücken, Germany, and earned her PhD in Computer Science from Ilmenau University of Technology, Germany. Her work is rooted in databases and graph technologies and spans theory, algorithms, and applications of data science and knowledge engineering including knowledge graph management, querying, and analytics.
@HoseKatja@katjahose@mastodon.social
Program Committee
The program committee consists of the following people.
| PC Members |
|---|
| Aidan Hogan, DCC, Universidad de Chile |
| Beatriz Esteves, Universidad Politécnica de Madrid |
| Gabriela Montoya, Aalborg University |
| Hala Skaf-Molli, University of Nantes - LS2N |
| Jürgen Umbrich, Vienna University of Economy and Business (WU Vienna) |
| Maria-Esther Vidal, Technical Information Library Leibniz (TIB) |
| Maribel Acosta, Ruhr University Bochum |
| Matteo Lissandrini, Aalborg University |
| Pascal Molli, University of Nantes - LS2N |
| Peter Haase, metaphacts |
| Ruben Taelman, Ghent University – imec |
| Sebastián Ferrada, Linköping University |
| Sijin Cheng, Linköping University |
| Stasinos Konstantopoulos, NCSR Demokritos |
