2021 IEEE SERVICES - 3rd IEEE International Workshop on Data, Information, Knowledge and Wisdom Networks (DIKWN)

DIKWN - Technical Program

Call for Papers

Everything as a Service (EaaS or XaaS) has followed the development of Software-Defined Everything as stakeholders determine the ultimate culmination of human production of both tangible and intangible services and solutions inner or inter Data, Information, Knowledge and Wisdom (DIKW) modals, which empirically answer 5W ( What, Where, When, How and Why). However, in the light of the overall trend of AI driven conversion from traditional services to intelligent or smart services, prevailing challenges arise for both conceptual foundations and technical preparation on DIKW modals, especially involving semantic understanding and utilization. As Knowledge Networks including Data Network, Information Network, Knowledge Network and Wisdom Networks, is short (DIKW Networks), are increasingly adopted for alleviating semantic understanding beyond various question and answering systems, various solutions focusing on DIKW Networks have been proposed in the background of Relationship Defined Everything of Semantics (RDXS) towards solving essence oriented computation and reasoning activities in the common background of incomplete and uncertainty prevailing resources with time and workload constrains. These approaches cover DIKW Networks creation, understanding, searching, reasoning, modification and especially and most recently embedding technologies in the form of various crossing multiple modals integration Machine Learning extensions. A foreseeable AI as a Service (AIaaS) landscape with explainable and interactive human interactions is becoming feasible based on DIKW Networks. The capability of DIKW Networks as a Service (DIKWNaaS) usages are constantly expanding, but there are also open questions especially in the era of rapid growing of crossing multiple modal processing demands. Recently we have also seen the emergence of various applications and models of DIKWNaaS) as a gradual acceleration towards an era of strong AI solutions in processing multiple modals, multiple dimensional multiple scale, multiple scales or even mesoscale content/resources.

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. Topics of interest include but are not limited to:

  • Crossmodal learning as a Service
  • Incomplete optimal synthesis as a Service
  • Data Network as a Service
  • Information Network as a Service
  • Knowledge Network as a Service
  • Strong AI as a Service
  • AI governance as a Service
  • Explainable Machine Learning Services
  • Situation-aware Knowledge Services
  • Ontology modeling for DIKW services
  • Data acquisition and linking services for Edge Computing
  • Information analysis and abstraction services for Edge Computing
  • Knowledge creation and reasoning services for Edge Computing
  • DIKW architecture-based content/resource processing and service provision
  • Load balancing based on transformation services 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


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:


Authors wishing to submit a paper to this workshop must select the track entitled “IEEE SERVICES Workshop on Data, Information, Knowledge and Wisdom Networks (DIKWN)” in order to be considered.


Accepted papers of the workshop will be included in the Congress proceedings and published in IEEE Xplore.

Important Dates

Workshop paper submission deadline: 20 June 2021
Notification to authors: 5 July 2021
Camera-ready and registration due: 15 July 2021


Program Chairs:
Yucong Duan, Hainan University
Katsunori Oyama, Nihon University
Jia Zhang, Southern Methodist University

Workshop Steering Group
Carl K. Chang, Iowa State University
Peter Chen, Carnegie Mellon University

Program Committee
Abdelrahman Elfaki, University of Tabuk
Alex Norta, Blockchain Technology Group, Tallinn University of Technology
Bin Xu, DCST, Tsinghua University
Chen Yang, Ghent University
Christophe Cruz, LIB - Laboratoire d'Informatique de Bourgogne
Ejub Kajan, State University of Novi Pazar
Faraz Hussain, Clarkson University
Fekade Getahun Taddesse, Addis Ababa University
Haoyang Che, AutoSmart Inc.
Hideyuki Takahashi, Tohoku Gakuin University
Hien Nguyen, University of Information Technology
Hua Ming, Oakland University
Jingwei Yang, California State University - Sacramento
Marco Cremaschi, Università di Milano-Bicocca
Min Fu, LIZHI Inc. & Macquarie University
Nianjun Zhou, IBM
Ningjiang Chen, College of Computer, Electronic, and Information, Guangxi University
Oleksii Kovalenko, Institute of Mathematical Machines and Systems Problems NAS of Ukraine
Qiang Duan, The Pennsylvania State University
Riccardo Martoglia, FIM - University of Modena and Reggio Emilia
Rui Guo, Renmin University of China
Shizhan Chen, Tianjin University
Yiyu Yao, University of Regina
Yongzhi Wang, Park University
Yunhai Dai, Namseoul University
Zakaria Maamar, Zayed University, UAE
Zhao Li, Alibaba Group


For general questions about this workshop, please contact:
Katsunori Oyama, Nihon University: oyama.katsunori@nihon-u.ac.jp
Yucong Duan, Hainan University: duanyucong@hotmail.com
Jia Zhang, Southern Methodist University: jiazhang@mail.smu.edu