[dbjapan] [締切延長] IJCAI/PRICAI2020ワークショップ ʼPKAW2020ʼ CFP のご案内

[Takayasu Yamaguchi <yamasound [at] gmail.com>]

日本データベース学会の皆様

# IJCAI/PRICAI2020ワークショップ 'PKAW2020' の投稿締切りを
# 延長しましたので、周知させていただきます。

　IJCAI/PRICAI2020ワークショップ 'PKAW2020' が
2020年7月11日(土)-12日(日)に横浜みなとみらいにて開催されます。
http://www.pkaw.org/pkaw2020/

　PKAWは1980年代にPRICAI(Pacific Rim International Conference on
Artificial Intelligence) の常設ワークショップとして、元田 浩 阪大名誉教授他
により設立されました。2020年はIJCAI(International Joint Conference on
Artificial Intelligence)/PRICAI2020のワークショップとして開催いたします。

# PKAWはIJCAIホームページのワークショップリストの一番上に掲載されています。
　https://ijcai20.org/workshops.html

　PKAWの採録論文はSpringerレクチャーノート(Lecture Notes in Artificial
Intelligence)として出版されます。投稿締切りは2020年5月20日です。
皆様のご投稿を心よりお待ちしております。

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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

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 multidisciplinary
topics concerning knowledge acquisition from data and/or human experts
together with data acquisition, data representation etc. are greatly
welcome.

IMPORTANT DATES:
- Submission Due: May 20, 2020 (Final paper submission will close at
11:59 PM GMT)
- Notification: June 16, 2020
- Camera Ready Due: June 30, 2020
- Workshop Date: July 11-12, 2020 (TBC)

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.

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
• Dr. Takayasu Yamaguchi, NTT DOCOMO, Inc., 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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