[CfP] Deadline for 1st International Workshop on Data Management for Knowledge Graphs (DMKG) @ESWC 2023 Extended to March 23

Deadline extension for DMKG 2023
1st International Workshop on Data Management for Knowledge Graphs co-located with ESWC 2023 in Hersonissos, Greece
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https://dmkg-workshop.github.io/

** New Dates **

Abstract submission: March 9, 2023 March 16, 2023
Paper submission: March 9, 2023 March 23, 2023
Notification of acceptance: April 13, 2023
Camera-ready copy due: April 20, 2023
Workshop: May 29, 2023

All times are Anywhere on Earth (AoE)

*** 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 continuously 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 knowledge graph analytics (GraphX, Giraph, Pregel, ...)

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 Guidelines **

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.
- 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.

Papers must be submitted via the following Easychair instance:
https://easychair.org/conferences/?conf=dmkg2023

More detailed formatting instructions can be found on our website:
https://dmkg-workshop.github.io/

Accepted papers will be published as Open-Access in the CEUR-WS series.


** Workshop Organizers **

Christian Aebeloe (Aalborg University)
Amr Azzam (WU Vienna)
Olaf Hartig (Linköping University)
Katja Hose (Aalborg University)