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PKAW 2016 : Pacific Rim Knowledge Acquisition Workshop

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Conference Series : Pacific Rim Knowledge Acquisition Workshop
 
Link: http://www://www.pkaw.org
 
When Aug 22, 2016 - Aug 23, 2016
Where Phuket, Thailand
Submission Deadline Feb 24, 2016
Notification Due Apr 27, 2016
Final Version Due May 25, 2016
Categories    knowledge acquisition   computer science   artificial intelligence   knowledge engineering
 

Call For Papers

Welcome to the 2016 Pacific Rim Knowledge Acquisition Workshop (PKAW 2016) to be held at Phuket, Thailand on August 22-23, 2016. Over the past two decades, PKAW has provided a forum for researchers and practitioners working in the area of knowledge acquisition and machine intelligence. In 2016, PKAW 2016 will be held as part of the 14th Pacific Rim
International Conference on Artificial Intelligence (PRICAI 2016). The purpose of this workshop is to provide a chance for intensive discussion on the aspects of knowledge acquisition.

In recent years, unprecedented data, called big data, has become available and knowledge acquisition and learning from big data is increasing in importance. Various knowledge can be acquired not only from human experts but also from diverse data. Simultaneous acquisition from both data and human experts increases its importance. Multidisciplinary research including knowledge engineering, machine learning, natural language processing, human computer interaction, and artificial intelligence are required. We invite authors to submit papers on all aspects of these area.

Another important and related area is applications. Not only in the engineering field but also in the social science field (e.g., economics, social networks, and sociology), recent progress of knowledge acquisition and data engineering techniques is realizing interesting applications. We also invite submissions that present applications tested and deployed in real-life settings. Those papers should address lessons learned from application development and deployment.

All papers will be peer reviewed, and those accepted for the workshop will be included in the Springer LNAI proceedings.


TOPICS OF INTEREST
Papers are invited for consideration in all aspects of knowledge acquisition, 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
- Big data capture, representation and analytics
- 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

IMPORTANT DATES
- Submission Due Feb.24 2016
- Notification Apr.27 2016
- Camera Ready Due May.25 2016
- Workshop Date Aug.22,23 2016

Honorary Chairs
Prof. Paul Compton, University of New South Wales, Australia
Prof. Hiroshi Motoda, Osaka University, Japan

Workshop Co-Chairs
Prof. Hayato Owada, Tokyo University of Science, Japan
Prof. Kenichi Yoshida, University of Tsukuba, Japan

Advisory Committee
A/Prof. Byeong-Ho Kang, University of Tasmania
Prof. Deborah Richards, Macquarie University

Related Resources

PRICAI 2019   16th Pacific Rim International Conference on Artificial Intelligence
IJCAI 2019   International Joint Conference on Artificial Intelligence
PAKDD 2019   Pacific-Asia Conference on Knowledge Discovery and Data Mining
ICML 2019   36th International Conference on Machine Learning
KALSIMIS 2019   Knowledge Acquisition and Learning in Semantic Interpretation of Medical Image Structures
ICDMML 2019   【ACM ICPS EI SCOPUS】2019 International Conference on Data Mining and Machine Learning
KLP@SAC 2019   Knowledge and Language Processing Track @ The 34th ACM Symposium on Applied Computing - ACM SAC 2019
SSCI 2019   The 2019 IEEE Symposium Series on Computational Intelligence
KI 2019   42nd German Conference on Artificial Intelligence
CD-MAKE 2019   IFIP Cross Domain Conference for Machine Learning and Knowledge Extraction