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
NEW DATE: October 19-23, 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

Program Committee
Abdelrahman Osman Elfaki, University of Tabuk
Alexander Norta, Tallinn University of Technology
Amer Aljaedi, University of Tabuk
Antonella Longo, Unversity of Salento
Bin Xu, Tsinghua University
Christophe Cruz, Université de Bourgogne (LIB)
Cong Liu, Eindhoven University of Technology
Faraz Hussain, Clarkson University
Gao Yan, Northeastern University
Gianluigi Viscusi, École Polytechnique Fédérale de Lausanne
Guilin Qi, Southeast University
Hideyuki Takahashi, Tohoku University
Hien D. Nguyen, University of Information Technology, VNU-HCM
Honghao Gao, Shanghai University
Hua Ming, Oakland University
Huanhuan Chen, University of Science and Technology of China
Incheon Paik, University of Aizu
Jianwei Yin, Zhejiang University
Jing He, Swinburne University of Technology
Jingwei Yang, California State University
Joe Tekli, Lebanese American University
Jun Zeng, Chongqing Unviersity
Kenneth K Fletcher, University of Massachusetts Boston
Lei Liu, Fudan University
Lei Yu, Inner Mongolia University
Liang Hong, Wuhan University
Lianyong Qi, Qufu Normal University
Nan Niu, University of Cincinnati
Nianjun Zhou, IBM
Pattanasak Mongkolwat, Mahidol University
Pengcheng Zhang, Hohai University
Pengzhu Zhang, Shanghai Jiaotong University
Qiang Duan, The Pennsylvania State University
Riccardo Martoglia, Universita' di Modena e Reggio Emilia
Shangguang Wang, Beijing University of Posts and Telecommunications
Shizhan Chen, Tianjin University
Shuiguang Deng, Zhejiang University
Toyotaro Suzumura, IBM Watson
Wuhui Chen, Sun Yat-Sen University
Xiaobing Sun, Yangzhou University
Yuqing Sun, Shandong University
Zhangbing Zhou, China University of Geosciences
Zhao Li, Alibaba Group
Zhihui Lu, Fudan University
Zhiming Zhao, University of Amsterdam

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.

UPDATED: IMPORTANT DATES
Paper Submission Deadline: June 12, 2020
Notification to Author: July 3, 2020
Camera-ready & Registration: July 20, 2020

For general questions about this workshop, please contact Katsunori Oyama: oyama.katsunori AT nihon-u.ac.jp