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
Submission
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:
https://ieee-cis.org/conferences/fuzzieee2020/upload.php.
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 (zongminma@nuaa.edu.cn)