Pacific Rim International Conference on Artificial Intelligence (PRICAI)*

Pacific Rim International Conference on Artificial Intelligence (PRICAI)*

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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 firs 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:

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)
    … TBD

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)

    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

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