Call for Papers: Submission deadline extended to Oct. 15, 2021.
The Workshop on
Knowledge Graphs and Big Data
(KGBigdata 2021)
Virtual, Dec 15-18, 2021
(in conjunction with IEEE Big Data 2021,

The following is a list of topics (but not limited) related this workshop:
* Big knowledge graph representation and modeling
* Constructing knowledge graphs from structured and unstructured data
* Big knowledge graph embeddings
* 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

* Oct 15, 2021: Due date for full and short workshop papers submission
* Nov 5, 2021: Notification of paper acceptance to authors
* Nov 20, 2021: Camera-ready of accepted papers
* Dec 15-18, 2021: Workshops

Please submit papers through the online system:

* This workshop accepts both long papers (up to 10 pages) and short/position papers (2-4 pages).
* Papers should be formatted to IEEE Computer Society Proceedings Manuscript.
* Formatting Guidelines ( ).
* Papers should be in the IEEE 2-column format.
* Full registration of IEEE BigData 2021 is required for at least one of the authors for participating in the workshop.

* Yuan An, Drexel University,
* Dejing Dou, University of Oregon,
* Yuan Ling,,
* Alex Kalinowski, Drexel University,