6th Workshop on Knowledge Graphs and Big Data (hybrid)

In Conjunction with IEEE Big Data 2026

SCOPE and OBJECTIVES


Knowledge graphs have become essential tools for representing world knowledge through interconnected entities and relationships, enabling efficient navigation and pattern discovery. Many enterprises now harness large-scale knowledge graphs to enhance products and services. Similarly, in scientific research, the surge in big data from simulations and experiments has opened new avenues for discovery. Yet, much of this data remains untapped due to challenges like data isolation and heterogeneity. Knowledge graph techniques offer a promising solution by facilitating the extraction, integration, and discovery of insights within these vast datasets.

This workshop provides a platform for knowledge graph researchers and practitioner in both business and scientific domains to exchange research ideas and solutions related to knowledge graph representation, miming, reasoning, and applications in big data settings.


Call for Papers


Accepted papers will be published in the IEEE BigData Conference Proceedings.

The following is a list of topics (but not limited) related this workshop:

  • Knowledge graphs for big scientific and experimental data
  • Big knowledge graph representation and modeling
  • Constructing knowledge graphs from structured and unstructured data
  • Big knowledge graph embeddings
  • Knowledge graphs and large language models (LLMs)
  • Link prediction
  • Knowledge graph completion
  • Natural language processing and knowledge graph
  • Semantic Web, ontology and knowledge graph
  • Knowledge graph for recommender systems
  • Scalable knowledge graph reasoning and inference
  • Knowledge graph for big data processing
  • Knowledge graph applications in business, biomedical, healthcare, etc.
  • Knowledge graph visualization and human interaction
  • Knowledge graph for explainable AI
  • Knowledge graph alignment
  • Graph neural networks and big knowledge graphs
  • Scalable knowledge graph storage and query processing
  • Record linkage using knowledge graphs

Important Dates


  • Oct. 2026: Due date for workshop papers submission
  • Nov. 2026: Notification of paper acceptance to authors
  • Nov. 2026: Camera-ready of accepted papers
  • Dec. 14-17, 2026: Workshop (Hybrid)


Paper Submission


submission link: Click Here or you can find the workshop submission link from the list of workshops Here.

Note:

  1. This workshop accepts both long papers (up to 10 pages) and short/position papers (2-4 pages).
  2. Papers should be formatted to IEEE Computer Society Proceedings Manuscript.
  3. Formatting Guidelines ( https://www.ieee.org/conferences/publishing/templates.html ).
  4. Papers should be in the IEEE 2-column format.
  5. Full registration of IEEE BigData 2026 is required for at least one of the authors for participating in the workshop.
  6. Accepted papers will be published in the IEEE BigData Conference Proceedings.

Workshop Organizers


  • Yuan An, Drexel University, ya45@drexel.edu
  • Jane Greenberg, Drexel University, jg3243@drexel.edu
  • Edward Kim, Drexel University, ek826@drexel.edu


Program Committee


  1. Nahed Abu Zaid, NC State University, United States
  2. Arpita Agrawal, Adobe, USA
  3. Toshiyuki Amagasa, University of Tsukuba, Japan
  4. Sabeur Aridhi, Université de Lorraine, CNRS, Inria Nancy Grand-Est, LORIA, France
  5. Christian Beecks, Fernuniversität Hagen, Germany
  6. Subhankar Chattoraj, University of Maryland Baltimore County, USA
  7. Rada Chirkova, North Carolina State University, USA
  8. Tejaswani Dash, Capital Group, USA
  9. Hieu Minh Duong, J.B. Speed School of Engineering, University of Louisville, Louisville, KY, USA
  10. Munehiro Fukuda, Computing and Software Systems, University of Washington Bothell, United States
  11. Zaineb Gabsi, Euranova, Tunisia
  12. Jugal Gajjar, The George Washington University, USA
  13. Vaibhav C. Gandhi, Department of Computer Engineering, MBIT, The Charutar Vidya Mandal (CVM) University, Anand, Gujarat, India
  14. Duy Ho, California State University Fullerton, United States
  15. Yi-Mo Ho, National Chung Hsing University, Taiwan
  16. Ted Holmberg, University of New Orleans, USA
  17. Pei-Yu Hou, National Chengchi University, Taiwan
  18. Asma Houimli, Euranova, Tunisia
  19. Shenghao Huang, Graduate School of Informatics, Nagoya University, Japan
  20. Wissem Inoubli, University of Artois, France
  21. Daniel Korn, UNC Chapel Hill, USA
  22. Wei-Pin Ku, National Chung Hsing University, Taiwan
  23. Yunqing Li, Lenovo, USA
  24. Tong Liu, University of Illinois at Urbana-Champaign, USA
  25. Patrick Mackey, Pacific Northwest National Lab, USA
  26. Long Nguyen, University of Louisville, USA
  27. Deepak Sai Pendyala, North Carolina State University, United States
  28. Kaustik Ranaware, The George Washington University, USA
  29. Kara Schatz, Xavier University, USA
  30. Aviv Segev, University of South Alabama, United States
  31. Kamalasankari Subramaniakuppusamy, The George Washington University, USA
  32. Yuan Zhao, National University of Defense Technology, China
  33. More to come...

Accepted Papers


TBA

Agenda

TBA