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KN 2020 : The Second IEEE International Workshop on Knowledge Networks

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Link: https://conferences.computer.org/services/2020/workshops/knworkshop.html
 
When Jul 7, 2020 - Jul 11, 2020
Where Beijing, China
Submission Deadline Mar 23, 2020
Notification Due Apr 15, 2020
Final Version Due May 1, 2020
Categories    knowledge graph   ontology   DIKW
 

Call For Papers

The Second IEEE International Workshop on Knowledge Networks (KN)
(Formerly IEEE International Workshop on Knowledge Graph as a Service)

In conjunction with the IEEE SERVICES 2020, July 7-11, 2020, Beijing, China

https://conferences.computer.org/services/2020/workshops/knworkshop.html

Description and Scope

A new wave of knowledge technologies is sparking innovation in services industry. Facing the overall trend toward AI-driven intelligent services, prevailing challenges arise from both conceptual foundations and technical preparation especially involving semantic understanding and utilizations. In recent years, Knowledge Graph has been increasingly recognized as an important approach to solving the semantic related problems, not limited to question and answering systems. We have witnessed a number of solutions on Knowledge Graph covering Knowledge Graph creation, understanding, searching, reasoning, modification and especially and most recently combination through embedding technologies with Machine Learning. Hierarchical architectures which project Data, Information, Knowledge and Wisdom (DIKW) seem to be promising in fitting the challenge of organizing and addressing the capability of Knowledge Graph technologies in terms of 5W of What, Where, When, How and Why. These technologies now form into a semantic network called as Knowledge Network.

Our main theme through discussions in the workshop is the theory of DIKW architecture in the Knowledge Networks. This workshop aims to bring together researchers and industrial practitioners to discuss and exchange innovative ideas, results, work-in-progress and case studies in the Knowledge Graph, DIKW architecture and Knowledge Network. Accepted papers will be invited to prestigious journal(s) for extension after consideration from the workshop.

Topics of interest include but are not limited to:
- Small data learning
- Knowledge Graph as a Service
- AI as a Service
- Explainable Machine Learning Services
- Situation-aware Knowledge Services
- Ontology modeling for IR
- Data acquisition and linking for Edge Computing
- Information analysis and abstraction for Edge Computing
- Knowledge creation and reasoning for Edge Computing
- DIKW architecture-based content/resource processing and service provision
- Load balancing based on transformations among layers of DIKW
- Theories and methods for transformations and coordination among layers of DIKW
- Security and Privacy Services based on Knowledge Networks
- Edge and Fog Network Services related to Knowledge Networks
- Meta Modeling and formal modeling, and verification methods of semantic rich graphs

Organization

Honorary Chairs
Carl K. Chang, Iowa State University
Michael Goul, Arizona State University
Peter Chen, Carnegie Mellon University

Workshop Chairs
Katsunori Oyama, Nihon University
Yucong Duan, Hainan University
Jia Zhang, Carnegie Mellon University

Submission

We call for original and unpublished papers no longer than 6 pages (up to 2 additional pages may be purchased subject to approval by the Publication Chair.). All papers will be reviewed with a minimum of 3 good-quality reviews per paper. The manuscripts should be formatted in standard IEEE camera-ready format (double-column, 10-pt font) and be submitted as PDF files (formatted for 8.5x11-inch paper). The submission URL is:

https://easychair.org/conferences/?conf=ieeeservices2020

Authors wishing to submit a paper to this workshop must select the track entitled “IEEE SERVCES Workshop on Knowledge Networks” in order to be considered.

Important Dates

Paper Submission Deadline: March 23, 2020
Notification to Author: April 15, 2020
Camera-ready & Registration: May 1, 2020

For general questions about this workshop, please contact either workshop chair:

Katsunori Oyama: oyama.katsunori AT nihon-u.ac.jp
Yucong Duan: duanyucong AT hotmail.com
Jia Zhang: jia.zhang AT sv.cmu.edu

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