***KGAAS 2019***

[Apologies if you receive multiple copies of this message]

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THE FIRST IEEE SERVICES WORKSHOP ON KNOWLEDGE GRAPH AS A SERVICE (KGAAS)

In conjunction with the IEEE SERVICES 2019, July 8-13, 2019, Milan, Italy

http://conferences.computer.org/services/2019/workshops/kgaas_workshop.html

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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. However, in the light of the overall trend of AI driven conversion from traditional services to intelligent services, prevailing challenges arise for both conceptual foundations and technical preparation, especially involving semantic understanding and utilizations. As Knowledge Graphs are increasingly recognized as an important approach to solving problems related to semantic understanding beyond question and answering systems, various solutions focusing on Knowledge Graphs have been proposed. These cover Knowledge Graph creation, understanding, searching, reasoning, modification and especially and most recently embedding technologies with Machine Learning. A foreseeable AI landscape with explainable and interactive human interactions is becoming feasible based on Knowledge Graphs. The boundaries of the capability of Knowledge Graph usages are constantly expanding, but there are also open questions as to what issues can be solved by Knowledge Graphs alone. Hierarchical architectures which project Data, Information, Knowledge and Wisdom (DIKW) seem to be well paired with the organizing capability of Knowledge Graph technologies in terms of the 5W ( What, Where, When, How and Why). Although not yet formally settled as a uniform concept itself, Knowledge Graphs have been actually or implicitly functioning as Data Graph, Information Graph, Knowledge Graph and Wisdom Graph according to the DIKW hierarchy. Recently we have also seen the emergence of various applications and models of Knowledge Graph as a Service (KGaaS) as a gradual acceleration towards an era of strong AI in contrast to the currently prevailing weak AI. This workshop aims to bring together scientists, researchers, and industrial engineers to discuss and exchange experimental and theoretical results, novel designs, work-in-progress and case studies on theories, design mechanisms and extensions on Knowledge Graph as a Service.

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

- Knowledge Management and creation in Context-aware and Situation-aware Services

- Ontology modeling for IR

- Data acqusition 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

- Security and Privacy Services based on Knowledge Graphs

- Load balancing based on transformations among layers of DIKW

- Edge and Fog Network Services related to DIKW architecture-based

- Theories and methods for transformations and coordination among layers of DIKW

- Meta Modeling and formal modeling, and verification methods of semantic rich graphs

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=ieeeservices2019

Authors wishing to submit a paper to this workshop must select the track entitled IEEE SERVICES Workshop on Knowledge Graph as a Service (KGaaS) in order to be considered.

IMPORTANT DATES

- Paper Submission Deadline: March 23, 2019

- Notification to Author: April 15, 2019

- Camera-ready & Registration: 1 May 2019

WORKSHOP CHAIR

- Yucong Duan, Hainan University (duanyucong@hotmail.com)

WORKSHOP PROGRAM CHAIR

- Katsunori Oyama, Nihon University (oyama.katsunori@nihon-u.ac.jp)

WORKSHOP STEERING GROUP

- Carl K. Chang, Iowa State University

- Peter Chen, Carnegie-Mellon University

- Michael Goul, Arizona State University

For general questions about this workshop, please contact the workshop chair or program chair.

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

- 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