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When Sep 5, 2021 - Sep 10, 2021
Submission Deadline Jun 20, 2021
Notification Due Jul 5, 2021
Final Version Due Jul 15, 2021
Categories    computer science   knowledge graph   dikw architecture   knowledge network

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.

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
Shizhan Chen, Tianjin University
Wuhui Chen, Sun Yat-Sen University
Christophe Cruz, CNRS-Le2i
Shuiguang Deng, Zhejiang University
Qiang Duan, The Pennsylvania State University
Abdelrahman Osman Elfaki, University of Tabuk
Honghao Gao, Shanghai University
Jing He, Swinburne University of Technology
Yingbo Li, Hainan University
Zhao Li, Alibaba Group
Antonella Longo, University of Salento
Zhihui Lu, Fudan University
Riccardo Martoglia, Universita' di Modena e Reggio Emilia
Hua Ming, Oakland University
Nan Niu, University of Cincinnati
Alexander Norta, Tallinn University of Technology
Incheon Paik, University of Aizu
Guilin Qi, Southeast University
Lianyong Qi, Qufu Normal University
Xiaobing Sun, Yangzhou University
Hideyuki Takahashi, Tohoku University
Joe Tekli, Lebanese American University
Gianluigi Viscusi, École Polytechnique Fédérale de Lausanne
Shangguang Wang, Beijing University of Posts & Telecommunications
Bin Xu, Tsinghua University
Gao Yang, Northeastern University
Jingwei Yang, California State University
Jianwei Yin, Zhejiang University
Pengcheng Zhang, Hohai University
Jun Zeng, Chongqing University
Nianjun Zhou, IBM
Zhangbing Zhou, China University of Geosciences

For general questions about this workshop, please contact:
Katsunori Oyama, Nihon University:
Yucong Duan, Hainan University:
Jia Zhang, Southern Methodist University:

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