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The Pacific Rim International Conference on Artificial Intelligence (PRICAI) is an international event which concentrates on AI theories, technologies and their applications in the areas of social and economic importance for countries in the Pacific Rim. It aims to bring together researchers, practitioners, educators and users in AI and related communities for in-depth intellectual exchanges, research cooperation and professional development.

From 1990 to 2016 PRICAI conferences were held biennially in even-number years. In 2018 PRICAI became an annual event.

Topics:
Big data analytics
Data mining and knowledge discovery
Information retrieval and extraction
Knowledge acquisition and ontology
Knowledge management
Knowledge representation
Machine learning
Natural language processing
Neural networks and deep learning
Reasoning
Text/Web/Internet mining
Semantic Web
Social intelligence

Recurring “Knowledge” Workshops:

• Principle and practice of data and Knowledge Acquisition Workshop (PKAW)*
  The Principle and practice of data and Knowledge Acquisition Workshop (PKAW), until 2019 the Pacific Rim Knowledge Acquisition Workshop (PKAW), provides a forum for researchers and practitioners to discuss the state-of-the-art in the areas of knowledge acquisition and machine intelligence (MI, also Artificial Intelligence, AI)

  The first workshop in the Pacific Rim series of Knowledge Aqcuisition Workshops was the Japanese Knowledge Acquisition for Knowledge-Based Systems Workshop (JKAW) in 1990 followed by the Australian Knowledge Acquisition for Knowledge-Based Systems Workshop (AKAW) in 1991. JKAW was organized biennially until 1994, AKAW irregularly until 1999. The first time the workshop was labeled as PKAW was in 1996. Since 2002 PKAW is a regular part of PRICAI.

  PKAW was also known as International Workshop on Knowledge Management and Acquisition for Intelligent Systems (PKAW 2012, 2014) / Smart Systems and Services (PKAW 2010)

“Knowledge Management” Workshops & Tutorials:

• 2020: 8th Artificial Intelligence for Knowledge Management (AI4KM)
  The objective of this multidisciplinary session is to gather both researchers and practitioners to discuss experiences in various AI approaches and techniques applied to knowledge management and innovation. It includes methodological, technical and organizational aspects of AI used for knowledge management and feedback from KM applications using AI. Among the topics to address are: knowledge management methods, models, decision support systems, management advisors, virtual training, serious games, applications of machine learning to support innovation and eco-innovation, knowledge visualization for improving the creativity and human-machine interfaces, image mining making links between data and images ex bio-detection are good examples of multidisciplinary applications as well as knowledge management applied to global security and sustainability.
• 2000: Tutorial: The role of Artificial Intelligence in Knowledge Management
  Knowledge Management (KM) is an emerging field rapidly gaining momentum both in the research arena and the business community. This tutorial begins with a review of the dominant trends in the development of Corporate Knowledge Management by linking recent work to the background of researchers. A number of AI areas/techniques are finding their way as strong enablers of KM. Most noticeably, Intelligent Agents, Information Filtering and Ontologies. Common KM applications will be described and these include, among others, knowledge maps and corporate memories in product development, software re-use, business processes and knowledge communities. Challenges and predictions for KM will also be outlined. This tutorial is especially suited to practitioners and researchers who want to learn about the field of KM and the major contributions of AI research and applications to this new field.

Sister conferences:

• IJCAI – International Joint Conference on Artificial Intelligence
• ECAI – European Conference on Artificial Intelligence

Conference History:

“PRICAI 2025, the 22nd edition of the conference series, will be in New Zealand”

21st PRICAI 2024, November 18-24, 2024, Kyoto, Japan

Notes: PRICAI was supposed to be organized in conjunction with IJCAI, August 3-9, 2024, Jeju Island, South Korea

Conference Program TBD

Workshops:
Pacific-Rim International Workshop on Applied Knowledge Graphs (PRIWAKG-2024)
Principle and practice of data and Knowledge Acquisition Workshop (PKAW 2024)
Representation Learning and Clustering (RLC 2024)

20th PRICAI-2023, November 17-19, 2023, Jakarta, Indonesia

(Organizer: Faculty of Computer Science, Universitas Indonesia)

Workshops:
Pacific-Rim International Workshop on Applied Knowledge Graphs (PRIWAKG-2023)

Talks:
Shaping the Future of Health: A New Global Health Intelligence Architecture for Unlocking the Power of AI Through Knowledge Representation and Reasoning
Choosing an Ontology for Re-use: Understanding the Standards Landscape
Harnessing the power of Semantics and Knowledge Graphs in IoT Data

Use-cases:
Modelling Autonomous Vehicle Driving information for Automatic Compliance Checking
Strengthening Data Governance and Trust: The Role of Semantic Web Technologies in the Age of Internet of Things and Large Language Models
Rapid Knowledge Graphs: Knowledge Graph Extraction and Management

Demos:
VocBench 3 & ShowVoc: Towards an Open-source Ecosystem for Knowledge Management and Publication
Graphologi Taxonomy and Ontology Management
AllegroGraph – Chomsky chatbot based on Chomsky knowledge graph and LLM
TextDistil – Tool to Distil Knowledge from Language Using LLM

Principle and practice of data and Knowledge Acquisition Workshop (PKAW 2023)

Sessions:
Session Titles n.a.

Keynotes:
Same Theory and Machine Learning for Addressing Societal Challenges: From Theory to Real-World Impact
Knowledge Structurization over Texts: Neural Information Extraction based Approaches and Recent Advances

Tutorials:
Large Language Models and RDF-based Knowledge Graphs: Bridging the Gap (LLM4KG)
Ontology Based Data Access and Data Independence (OBDADI)
Reinforcement Learning for Digital Business (RL4DB)

Technical Sessions:
Natural Language Processing
Machine Learning/Deep Learning
Knowledge Representation and Reasoning
(Deep) Reinforcement Learning
Data Mining and Knowledge Discovery
Graph Learning

Keynotes:
—

Panels:
Convergence of Knowledge Graphs and Large Language Models

19th PRICAI-2022, November 10-13, 2022, Shanghai, China

(Organizer: )

Workshops:
18th Principle and practice of data and Knowledge Acquisition Workshop (PKAW 2022)

Sessions:
Text Analysis
Machine Learning Theories and Algorithms

Keynotes:
Deep Reinforcement Learning (DRL) with Human Intervention Applications

Tutorials:
—

Technical Sessions:
Data Mining and Knowledge Discovery
Neural Networks and Deep Learning
Knowledge Representation and Reasoning
Natural Language Processing
Reinforcement Learning
Recommender Systems

Keynotes:
Urban Computing: Building Intelligent Cities Using AI and Big Data
Knowledge Graph Construction, Reasoning, and Manipulation: a Case Study in Education Domain
Operationalising Responsible AI: CSIRO Data61’s Approach (PRICAI & PKAW)

18th PRICAI-2021, November 8-12, 2021, Hanoi, Vietnam Virtual venue

(Organizer: ?)

Workshops:
—

Tutorials:
Collaborative Learning and Optimization

Technical Sessions:
Natural Language Processing
Deep Learning
Knowledge Representation and Reasoning
Deep Learning
Data Mining and Knowledge Discovery
Reinforcement Learning

Keynotes:
Integration of Deep Learning and Symbols

Sister Conferences:
International Conference on Principles of Knowledge Representation and Reasoning, Nov 3-12, online

1st IJCAI-PRICAI 2020, January 7-15, 2021, Yokohama, Japan Virtual venue

(29th IJCAI and 17th PRICAI; Organizer: Nagoya Institute of Technology)

Note: The conference was originally scheduled for July 11-17, 2020.

Workshops:
17th Principle and Practice of Data and Knowledge Acquisition Workshop (PKAW 2020)

Sessions:
Algorithms and machine learning theories
Machine learning in practice
Data exchange and networks
Text Analysis

Keynotes:
Mobile Data and Solutions

8th Artificial Intelligence for Knowledge Management (AI4KM)
5th International Workshop on Biomedical Informatics with Optimization and Machine learning (BOOM 2020)
2nd AI-based Multimodal Analytics for Understanding Human Learning in Real-World Educational Contexts (AIMA4Edu)
Data Science Meets Optimization (DSO)
Monte Carlo Search 2020
1st International Workshop on Heuristic Search in Industry
2nd International Workshop on Bringing Semantic Knowledge into Vision and Text Understanding
Tensor Network Representations in Machine Learning
Knowledge-Based Reinforcement Learning (KBRL)
6th Workshop on Semantic Deep Learning
Learning Data Representation for Clustering
2nd International Workshop on Deep Learning for Human Activity Recognition
Federated Machine Learning for Data Privacy and Confidentiality

Tutorials:
Adversarial Machine Learning: On The Deeper Secrets of Deep Learning
Bayesian Optimization for Balancing Metrics in Recommender Systems
Causal Inference and Stable Learning
Compressed Communication for Large-scale Distributed Deep Learning
Compression of Deep Learning Models for NLP
Current and Future Trends of Neural Knowledge Graph Representation and Reasoning
Exploring Attention, Dynamic Information Flow, and Modularity as Ingredients for Generalization in Deep Learning
Exploring Rare Categories on Graphs: Representation, Inference, and Generalization
Federated Learning Systems: Comparative Studies and Hand-on Demonstrations
Federated Recommender Systems
From Data Independence to Ontology Based Data Access (and back)
Heterogeneous Information Network Embedding and Applications
Logic-Enabled Verification and Explanation of ML Models
Machine Learning and Game Theory
Machine Learning for Combinatorial Optimization
Machine learning for data streams with scikit-multiflow
Machine Learning for Drug Development
Meta-learning and Automated Machine Learning: Approaches and Applications
Multimodal Learning in K-12 Education: Promise, Progress and Challenges
Next-Generation Recommender Systems and Their Advanced Applications
Optimization & Learning Approaches to Resource Allocation for Social Good
Probabilistic Circuits: Representations, Inference, Learning and Applications
Robust Multi-view Visual Learning: A Knowledge Flow Perspective
Rule-based Stream Reasoning
Scalable Deep Learning: How far is one billion neurons?
The Role of Knowledge Repositories in Information Retrieval
Towards Deep Explanation in Machine Learning Supported by Visual Methods
Trustworthiness of Interpretable Machine Learning

Technical Sessions:
Big Data and Large Scale Methods
Machine Learning
Machine Learning Applications
Data Mining
Knowledge Representation and Reasoning
Natural Language Processing

Invited Talks:
—

16th PRICAI-2019, August 26-30, 2019, Cuvu, Fiji

(Organizer: School of Computing, Information and Mathematical Sciences, University of the South Pacific; Department of Computer Science and Information Technology, Fiji National University)

Workshops:
16th Pacific Rim Knowledge Acquisition Workshop (PKAW 2019)

Program n.a.

KR Conventicle Day: Workshop on the Foundations of Belief Change

Tutorials:
Data Science
Machine Learning and Big Data Problems in Bioinformatics
Referring Expressions in Knowledge Representation Systems
Iterated Belief Change (part of KR Conventicle Workshop)
Cognitive Logics: Formal and Cognitive Methods for Reasoning in a Dynamic World (part of KR Conventicle Workshop)

…

15th PRICAI-2018, August 28-31, 2018, Nanjing, China

(Organizer: Department of Computer Science and Technology, Nanjing University)

Workshops:
15th Pacific Rim Knowledge Acquisition Workshop (PKAW 2018)

Sessions:
Applications
Knowledge Acquisition Framework
Understanding Users
Social Network & Data Mining
Image Understanding

Keynotes:
PKAW from past to future (opening)

Workshop on Advances in Deep Unsupervised Learning
Workshop on Methods and Applications of Reinforcement Learning
International Workshop on Active Learning
AutoML Workshop
Workshop on Evolutionary Optimization and Learning

Tutorials:
Ripple Down Rules (RDR): A simple alternative/enhancement when machine learning is problematic (PKAW)

Technical Sessions:
Data mining and knowledge discovery
Natural language processing
Neural networks and deep learning
Machine Learning
Information retrieval and extraction
Knowledge representation

Special Tracks:
Reinforcement Learning

Keynotes/Invited Talks:
Meta-Interpretive Learning: achievements and challenges
Transfer Learning for Sentiment Analysis
Causal Modeling and Machine Learning

14th PRICAI-2016, August 22-26, 2016, Phuket, Thailand

(Organizer: College of Computing, Prince of Songkla University; Sirindhorn International Institute of Technology, Thammasat University; Human Computer Communication Research Unit, National Electronics and Computer Technology Center)

Workshops:
14th Pacific Rim Knowledge Acquisition Workshop (PKAW 2016)

Sessions:
Knowledge Acquisition from Network and Big Data
Knowledge Acquisition and Natural Language Processing
Knowledge Acquisition and Machine Learning
Knowledge Acquisition and Applications

Keynotes:
TBA

Tutorials:
Deep learning for natural language processing
Collective Intelligence: Using Systems/Design Thinking Methods to Improve Group Intelligence

Technical Sessions:
Knowledge Representation
Machine Learning Algorithms
Machine Learning Applications
Information Retrieval
Reinforcement Learning
Natural Language Processing
Pattern Recognition
Search
Data Mining

Keynotes:
—

13th PRICAI-2014, December 1-5, 2014, Gold Coast, Australia

(Organizer: Commonwealth Scientific and Industrial Research Organisation, Australian Government)

Workshops:
13th International Workshop on Knowledge Management and Acquisition for Intelligent Systems (PKAW 2014)

Sessions:
Machine Learning and Data Mining
Incremental Knowledge Acquisition
Web-Based Techniques and Applications
Domain Specific Knowledge Acquisition Methods and Application
Regular Short Papers

Keynotes:
Wikipedia Ontology Engineering and Applications to Human Robot Interaction

2nd International Workshop on Machine Learning for Sensory Data Analysis (MLSDA 2014)
International Workshop on Artificial Intelligence and Machine Learning Applied to Quantum Computing (AIMLQC 2014)

Tutorials:
Tutorial on Artificial Intelligence and Machine Learning in Quantum Computing (AIMLQC)

12th PRICAI-2012, September 3-7, 2012, Kuching, Malaysia

(Organizer: University Tenaga Nasional; University Malaysia Sarawak)

Workshops:
12th International Workshop on Knowledge Management and Acquisition for Intelligent Systems (PKAW 2012)

Sessions:
Knowledge Acquisition Issues and Evaluation
Agent Based Knowledge Acquisition and Management
Incremental Knowledge Acquisition
Methods and Applications
Language, Text and Image Processing

Keynotes:
(See KTW program)

Tutorials:
—

Co-located Events:
Knowledge Technology Week, Sep 3-7

11th PRICAI-2010, August 30 – September 2, 2010, Daegu, Korea

(Organizer: )

Conference program n.a.

Workshops:
11th International Workshop on Knowledge Management and Acquisition for Smart Systems and Services (PKAW 2010)

Sessions:
Incremental Knowledge Acquisition
Knowledge Acquisition Applications in Internet and Mobile Computing
Knowledge Acquisition Applications in Multimedia and Games
Knowledge Engineering & Ontology
Machine Learning
Data Mining

10th PRICAI-2008, December 15-19, 2008, Hanoi, Vietnam

(Organizer: College of Technology, Vietnam National University; Institue of Information Technology (IOIT), Vietnamese Academy of Science and Technology; Hanoi University of Technology)

Workshops:
10th Pacific Rim Knowledge Acquisition Workshop (PKAW 2008)

Sessions:
Machine Learning and Data Mining
Incremental Knowledge Acquisition
Web-Based Techniques and Application
Domain Specific Knowledge Acquisition Methods and Applications

Keynotes:
n.a.

International Workshop on Soft Computing for Knowledge Technology
Workshop on Knowledge, Language, and Learning in Bioinformatics

Tutorials:
Agent & Data Mining: the Synergy to Empower Intelligent Information Processing and Systems

9th PRICAI-2006, August 7-11, 2006, Guilin, China

(Organizer: Guangxi University; Guangxi Normal University)

Workshops:
9th Pacific Rim Knowledge Acquisition Workshop (PKAW 2006)

Sessions:
Ontology and Knowledge Acquisition
Algorithm Approaches to Knowledge Acquisition
Incremental Knowledge Acquisition and RDR
Knowledge Acquisition and Applications
Machine Learning and Data Mining
…n.a.

Keynotes:
n.a.

Tutorials:
—

Co-located Conferences:
1st International Conference on Knowledge Science, Engineering and Management (KSEM’2006), Aug 5-8

8th PRICAI-2004, August 9-13, 2004, Auckland, New Zealand

(Organizer: Institute for Information Technology Research, Auckland University of Technology)

Workshops:
8th Pacific Rim Knowledge Acquisition Workshop (PKAW 2004)

Sessions:
Active Learning
Incremental Knowledge Acquisition: RDR
Knowledge Acquisition Tools
View of Knowledge Acquisition / Evaluate Knowledge Acquisition Methods
Knowledge Acquisition and Machine Learning

Demonstrations and Posters

Panel Discussions:
Knowledge Acquisition for Web Services

International Workshop on Knowledge Discovery in BioMedicine (KDbM-04)

Tutorials:
Relevant Reasoning: Its key role in discovery and prediction
Specifying knowledge and belief change in multiagent systems

7th PRICAI-2002, August 18-22, 2002, Tokyo, Japan

(Organizer: National Institute of Informatics, Hitotsubashi University)

Workshops:
7th Pacific Rim Knowledge Acquisition Workshop (PKAW 2002)

Sessions:
Data Mining
Machine Learning
Knowledge Management

Invited Talks:
Going Beyond Text-Based Knowledge Management

Tutorials:
—

6th Pacific Rim Knowledge Acquisition Workshop (PKAW 2000), December 11-13, 2000, Sydney, Australia

(Organizer: School of Computer Science and Engineering, University of New South Wales)

Sessions:
Knowledge Extraction
Ontologies
Knowledge Extraction and Information Retrieval
Learning and Knowledge Acquisition
Incremental Knowledge Acquisition – Ripple Down Rules
Software Demos

Invited Lectures:
The Divide-and-Conquer Manifesto
Knowledge Science and Technology: Operationalizing the Enlightenment
Extracting Information from the Web for Concept Learning and Collaborative Filtering
Knowledge Modeling on the Web
Sequential Sampling Techniques for Algorithmic Learning Theory

Panels:
The Future of Knowledge Acquisition and Knowledge Management

Co-located Conferences:
11th International Conference on Algorithmic Learning Theory (ALT 2000)

6th PRICAI-2000, August 28 – September 1, 2000, Melbourne, Australia

(Organizer: School of Computing and Mathematics, Deakin University)

Workshops:
—

Tutorials:
The role of Artificial Intelligence in Knowledge Management

4th Australian Knowledge Acquisition Workshop (AKAW’99), December 5-6, 1999, University of New South Wales, Sydney, Australia

(Organizer: School of Computer Science and Engineering, University of New South Wales)

Program n.a.

Co-located Conferences:
12th Australian Joint Conference on Artificial Intelligence (AI’99), Dec 6-10

5th PRICAI-1998, November 22-27, 1998, Singapore

(Organizer: Kent Ridge Digital Labs)

Workshops:
5th Pacific Rim Knowledge Acquisition Workshop (PKAW 1998)

Sessions:
Ontology and Formal Language
Knowledge Sharing, Verification and Tools
Knowledge Discovery and Machine Learning
Ripple Down Rules and Case Based Reasoning
Rough Set Theory and Belief Network
Document Classification

Workshop on Knowledge Discovery and Data Mining

Tutorials:
Data Mining : Process and Techniques

3rd Australian Knowledge Acquisition Workshop (AKAW’97), November ?, 1997, University of Western Australia, Perth, Australia

(Organizer: ?, University of Western Australia)

Program n.a.

Co-located Conferences:
10th Australian Joint Conference on Artificial Intelligence (AI’97), Nov 30 – Dec 4

Pacific Rim Knowledge Acquisition Workshop (PKAW’96), October 23-25, 1996, Sydney, Australia

(Organizer: School of Computer Science and Engineering, University of New South Wales)

Program n.a.

4th PRICAI-1996, August 26-30, 1996, Cairns, Australia

(Organizer: )

…

3rd Japanese Knowledge Acquisition for Knowledge-Based Systems Workshop (JKAW’94), November 7-9, 1994, Hatoyama, Japan

(Organizer: Hitachi Advanced Research Laboratory; Sponsor: Japanese Society for Artificial Intelligence)

Program n.a.

3rd PRICAI-1994, August 15-18, 1994, Beijing, China

(Organizer: )

…

2nd Japanese Knowledge Acquisition for Knowledge-Based Systems Workshop (JKAW’92), November 9-10 (public) & 11-13 (closed), 1992, Kobe & Hatotama, Japan

(Organizer: Hitachi Advanced Research Laboratory; Sponsor: Japanese Society for Artificial Intelligence)

Invited Papers: (public)
…

General Speeches: (closed)
…

Sessions: (closed)
Inductive reasoning
Task ontology and modeling/knowledge reuse
Abstraction
Knowledge base refinement and validation

Knowledge acquisition management

Other (CBR, causal)

2nd PRICAI-1992, September 15-18, 1992, Seoul, Korea

(Organizer: Center for Artificial Intelligence Research, Korea Information Science Society Center For Artificial Intelligence Research)

…

1st Australian Knowledge Acquisition for Knowledge-Based Systems Workshop (AKAW’91), August ?, 1991, Pokolbin (Hunter Valley, near Sydney), Australia

(Organizer: ?)

Note: This is the second in the Pacific Rim series of Knowledge Acquisition Workshops.

Program n.a.

Co-located Conferences:
12th International Joint Conference on Artificial Intelligence (IJCAI’91), Aug 24-30

1st PRICAI-1990, November 14-16, 1990, Nagoya, Japan

(Organizer: ?, Mie University)

…

1st Japanese Knowledge Acquisition for Knowledge-Based Systems Workshop (JKAW’90), October 25-26 (public) & 29-31 (closed), 1990, Kyoto, Japan

(Organizer: Hitachi Advanced Research Laboratory; Kansai Institute of Information System)

Invited Papers: (public)
Foundations of knowledge acquisition
Knowledge acquisition tools, methods, and mediating representations
Real-Time Problem-Solving and Knowledge Acquisition
Implications of the system-model-operator metaphor for knowledge acquisition
An architecture of knowledge acquisition by interview based on dynamic analysis
Inductive knowledge acquisition from structured data
Research activities of knowledge acquisition and learning in Japan
Explorations in How to Make Application Programming Easier
Justification-Based Knowledge Acquisition
Integration of Knowledge Acquisition and Performance Systems

Sessions: (closed)
Rule Induction
Hypertext
EBL/CBR
Miscellaneous

Interviews
Papers not presented at the workshop