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FUZZ-IEEE 2020 : Special Session on Fuzzy Logic for Knowledge Graphs


When Jul 19, 2020 - Jul 24, 2020
Where Glasgow, Scotland (UK)
Submission Deadline Jan 15, 2020
Notification Due Mar 15, 2020
Final Version Due Apr 15, 2020
Categories    artificial intelligence   databases   knowledge engineering   computational intelligence

Call For Papers

Call for Papers
Special Session on Fuzzy Logic for Knowledge Graphs
2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2020)
IEEE World Congress on Computational Intelligence 2020
19 - 24th July, 2020, Glasgow, Scotland (UK)

Knowledge graphs (KGs) provide a machine brain for computers, where data are given well-defined meaning, enabling computers and people to better work in cooperation. Nowadays, knowledge graphs are playing an increasingly important role in, for example, accurate information analysis, intelligent search and recommendation, intelligent interpretation and human-computer interaction, and deep reasoning. Knowledge graph technology is the current trend and hotspot of the development and application of artificial intelligence (AI) technology and increasingly receiving more attention from academy and industry.
In the real world, human knowledge and natural language have a big deal of imprecision and vagueness. Actually, none of the usual logical requirements can be guaranteed: there is no centrally defined format for data, no guarantee of truth for assertions made, and no guarantee of consistency. While knowledge graph techniques and applications are attracting more attention, they fail to deal with ill-structured, uncertain or imprecise information encountered in the real-world knowledge. Being a crucial means of implementing machine intelligence, fuzzy logic has been applied in a large number and a wide variety of applications, with a real-world impact across a wide array of domains with human-like behavior and reasoning. Therefore, fuzzy logic can be applied to bridge the gap between human-understandable soft logic and machine-readable hard logic and play a crucial and positive role in the developments and applications of knowledge graphs. There can be no doubt that fuzzy logic will certainly reinforce knowledge graph techniques and applications.

Scope and Topics
The topics of interest include (but are not limited to): fuzzy logic in
- Metadata semantics and knowledge graph models
- Knowledge graph construction with diverse data sources
- Knowledge graph fusion
- Approximate match over knowledge graphs
- Flexible searching and retrieval of knowledge graphs
- Uncertain reasoning in knowledge graphs
- Knowledge graph evaluation, linking, mediation and reconciliation
- Knowledge graph evolution and learning
- Knowledge graph trust, privacy, security and intellectual property rights
- Knowledge graph persistence
- Knowledge graph visualization
- Knowledge graph representation learning
- Natural language queries with knowledge graphs
- Intelligent Big Data analysis with knowledge graphs
- Decision making with knowledge graphs
- Knowledge graphs for intelligent recommendation
- Knowledge graph for natural language understanding and processing
- Knowledge graphs in intelligent e-applications (e.g., e-Government, e-Business and e-Learning)
- Human-computer interaction and user interfaces

Important Dates
- Paper submission: January 15, 2020
- Notification of acceptance/rejection: March 15, 2020
- Final paper submission deadline: April 15, 2020
- Early Registration deadline: April 15, 2020
- Conference dates: July 19-24, 2020

Papers submitted for special sessions are to be peer-reviewed with the same criteria used for the rest of contributed papers. All accepted papers will be included in the proceedings of the FUZZ-IEEE 2020.
Submissions are made through the Online Submission System of the WCCI website:
Remind to select "Special Session on Fuzzy Logic for Knowledge Graphs " as "Main research topic".

Organizer and Contact
- Zongmin Ma, Nanjing University of Aeronautics and Astronautics, China (

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