Principle and practice of data and Knowledge

Acquisition Workshop (PKAW 2022) 征稿信息

1. PKAW 2022

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). PKAW 2022 will be held as a workshop at the 19th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2022) in Shanghai, China. A wide range of topics related to knowledge acquisition and representation are greatly welcome.

Over the past two decades, PKAW has provided a forum for researchers and practitioners to discuss the state-of-the-art in the area of knowledge acquisition and machine intelligence (MI, also Artificial Intelligence, AI). PKAW 2022 will continue the above focus and welcome the contributions on the multi-disciplinary approach of human and big data-driven knowledge acquisition, as well as AI techniques and applications. Wide range of topics related to knowledge acquisition and representation are greatly welcome.

2.Important Dates

Paper Submission: August 07, 2022 (UTC -12)

Notification: September 21, 2022

Camera Ready: September 28, 2022

Workshop Date: November 10, 2022

3. Website: https://pkawwebsite.github.io/2022

4. Areas of Interest

5. 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.

PKAW 2022 will adopt single-blind rule for the reviewing process, i.e., the authors do not know the names of the reviewers, but the reviewers can infer the names of the authors from the submission. All papers for the review should be submitted electronically using the conference management tool in PDF format and formatted using the Springer LNAI template. The paper should not exceed 12 pages long (excluding references). For accepted papers, the latex source files and a camera-ready version are required to be submitted using the Springer LNAI template.

Submission link: https://easychair.org/conferences/?conf=pkaw2022

6. Post-proceedings Publication

All papers will be peer reviewed, and those accepted for the workshop will be included in the Arxiv conference proceedings. Selected papers will be also invited to submit their extension to a special issue of the Journal of Human-Centric Intelligent Systems.

更多信息，欢迎咨询：

Dr. Qing Liu (q.liu@data61.csiro.au)

Dr. Wenli Yang (yang.wenli@utas.edu.au)

吉林财经大学管理科学与信息工程学院院长、吉林省互联网金融重点实验室主任姜建华教授担任本次会议的程序委员(PC Member)，更多信息，也欢迎联系姜建华教授(jjh@jlufe.edu.cn)。