Connectionists: Call for Papers: 2020 Principle and Practice of Data and Knowledge Acquisition Workshop

[Tran Son]

Call for Papers: 2020 Principle and Practice of Data and Knowledge
Acquisition Workshop (PKAW2020)
11-12 July 2020, Yokohama, Japan, PKAW2020 is a workshop under
IJCAI/PRICAI2020

http://www.pkaw.org/pkaw2020/

PKAW (Principle and Practice of Data and Knowledge Acquisition Workshop)
was established in 1980s as an integral part of PRICAI (Pacific Rim
International Conference on Artificial Intelligence). PKAW2020 will be held
as a workshop of the joint conference IJCAI/PRICAI2020 at Yokohama, Japan.
Wide range of topics such as knowledge acquisition, data representation and
big data acquisition etc. are greatly welcome.
IMPORTANT DATES:
-Submission Due: April 25, 2020 (Final paper submission will close at 11:59
PM GMT)
-Notification: May 25, 2020
-Camera Ready Due: June 5, 2020
-Workshop Date: July, 2020

TOPICS OF INTEREST
  All aspects of knowledge acquisition, data engineering and management for
intelligent systems, including (but not restricted to):
    - Fundamental views on knowledge that affect the knowledge acquisition
process and the use of knowledge in knowledge engineering
     - Algorithmic approaches to knowledge acquisition
     - Tools and techniques for knowledge acquisition, knowledge
maintenance and knowledge validation
     - Evaluation of knowledge acquisition techniques, tools and methods
     - Languages and frameworks for knowledge and knowledge modelling
information systems or decision support systems
     - Methods and techniques for sharing and reusing knowledge
     - Ontology and its role in knowledge acquisition
     - Mining the Semantic Web, the Linked Data and the Web of Data
     - Hybrid approaches combining knowledge engineering and machine
learning
     - Innovative user interfaces
- Data acquisition
- Data analytics and mining
- Multimedia data acquisition and analysis
- Data representation
- Big data acquisition and analysis
- Learning from big data
     - Crowd-sourcing for data generation and problem solving
     - Software engineering and knowledge engineering
     - Algorithms, tools and techniques for machine intelligence
- Knowledge acquisition applications tested and deployed in in real-life
settings

PAPER SUBMISSION:

PKAW will not accept any paper that, at the time of submission, is under
review for, has already been published in, or has already been accepted for
publication in, a journal or another venue with formally published
proceedings. If part of the work has been previously published, authors are
strongly encouraged to cite and compare/contrast the new contributions with
the parts that were already published before. The paper must substantially
extend the previously published work.
All papers for the review should be submitted electronically using the
conference management tool in PDF/DOC format and formatted using the
Springer LNAI template or IJICAI template. The paper should be between 10
to 15 pages long. Camera ready for accepted papers should be submitted
using only the Springer LNAI template. For Springer LNAI format templates,
please see the Springer’s website:
http://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines

Page limit:
Full paper: 12-15 pages
Short paper: 8 pages

Submission will be through the Easychair conference management system:
https://easychair.org/conferences/?conf=pkaw2020

POST-PROCEEDINGS PUBLICATION:
The post-proceedings of PKAW2020 will be published in the LNAI series of
Springer (to be confirmed).


ORGANIZING COMMITTEE:

Honorary Chairs:
•Prof. Paul Compton, University of New South Wales, Australia
•Prof. Hiroshi Motoda, Osaka University, Japan
Advisory Committee:
•Prof. Maria R Lee, Shih Chien University, Taiwan
•Prof. Kenichi Yoshida, University of Tsukuba, Japan
•Prof. Byeong-Ho Kang, University of Tasmania, Australia
•Prof. Deborah Richards, Macquarie University, Australia
Workshop Co-chairs:
•A/Prof. Quan Bai, University of Tasmania, Australia
•Prof. Hiroshi Uehara, Akita Prefectural University, Japan

Publicity Chairs:
•Dr. Soyeon Caren Han, University of Sydney, Australia
•Dr. Son Tran, University of Tasmania, Australia
•A/Prof. Weiwei Yuan, Nanjing University of Aeronautics and Astronautics,
China
•Dr. Takayasu Yamaguchi, Senior Research Engineer, NTT DOCOMO, Inc., Japan

Webmaster:
•Mr. Shiqing Wu, University of Tasmania, Australia

CONTACT:
A/Prof. Quan Bai: quan.bai at utas.edu.au
Prof. Hiroshi Uehara: uehara at akita-pu.ac.jp
Dr. Takayasu Yamaguchi: yamasound at gmail.com
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