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The IEEE International Conference on Knowledge Graph (ICKG), formerly the IEEE International Conference on Big Knowledge (ICBK) and the “Data Mining and Intelligent Computing” Forum, provides a premier international forum for presentation of original research results in Knowledge Graph opportunities and challenges, as well as exchange and dissemination of innovative, practical development experiences. The conference covers all aspects of Knowledge Graph, including algorithms, software, platforms, and applications for knowledge graph construction, maintainence, and inference. ICKG draws researchers and application developers from a wide range of Knowledge Graph related areas such as knowledge engineering, big data analytics, statistics, machine learning, pattern recognition, data mining, knowledge visualization, high performance computing, and World Wide Web. By promoting novel, high quality research findings, and innovative solutions to challenging Knowledge Graph problems, the conference seeks to continuously advance the state-of-the-art in Knowledge Graph.

Conference History:

13th IEEE International Conference on Knowledge Graph (ICKG 2022), December 1-2, 2023, Shanghai, China

(Host: TBD)

Conferencee Program ZBD

Topics:
Foundations, algorithms, models, and theory of Knowledge Graph processing.
Knowledge engineering with big data.
Machine learning, data mining, and statistical methods for Knowledge Graph science and engineering.
Acquisition, representation, and evolution of fragmented knowledge.
Fragmented knowledge modeling and online learning.
Knowledge graphs and knowledge maps.
Knowledge graph security, privacy, and trust.
Knowledge graphs and IoT data streams.
Geospatial knowledge graphs.
Ontologies and reasoning.
Topology and fusion on fragmented knowledge.
Visualization, personalization, and recommendation of Knowledge Graph navigation and interaction.
Knowledge Graph systems and platforms, and their efficiency, scalability, and privacy.
Applications and services of Knowledge Graph in all domains including web, medicine, education, healthcare, and business.
Big knowledge systems and applications.
Crowdsourcing, deep learning and edge computing for graph mining.
Rule and relationship discovery in knowledge graph computing.

13th IEEE International Conference on Knowledge Graph (ICKG 2022), November 30 – December 1, 2022, Orlando, FL, USA Virtual venue

(Host: University of Notre Dame, College of Engineering, Department of Computer Science and Engineering)

Keynotes:
Approaches to Distributed RDF Data Management and SPARQL Processing
Towards Natural User Interaction

Conference Tracks:
Machine Learning and Knowledge Graphs
Reasoning with Knowledge Graphs
Knowledge Graph Analytics and Applications
Knowledge Graphs and NLP
Knowledge graphs for Explainable AI
Multimodal Knowledge Graphs
Social Network and Representation Learning
Knowledge Graphs for Cultural Heritage
Knowledge Graphs for Geospatial Information Systems
Domain Knowledge Graphs
Knowledge Graphs for Education
Big Knowledge Systems

Conference Sessions:
Machine Learning and Knowledge Graphs
Knowledge Graphs and NLP
Machine Learning for Time Series and Visualization
Representation Learning, Semi-supervised Learning and Application
Reasoning with Knowledge Graphs, Domain Knowledge Graphs, Knowledge Graph Analytics and Applications
Deep Learning and Application
Machine learning and NLP

Co-located conferences:
IEEE International Conference on Data Mining (ICDM), Nov 28 – Dec 1

KG2022 – International Workshop on Knowledge Graphs, Nov 28, 2022, Online

12th IEEE International Conference on Big Knowledge (ICBK-2021), December 7-8, 2021, Auckland, New Zealand Virtual venue

(Host: University of Auckland, School of Computer Science)

Note: The conference was originally planned as IEEE International Conference on Knowledge Graph (ICKG-2021) for August 9-11, 2021 in Hong Kong, China, hosted by the Big Data Institute of the Hong Kong University of Science and Technology

Keynotes:
Combining Deductive and Statistical Explanations in the FRANK Query Answering System; The Evolution of Future Network Technology; What to Expect for the Next Generation Distributed File Systems?

Conference Tracks:
Machine Learning and Knowledge Graphs; Machine Learning for Streaming Data; Reasoning with Knowledge Graphs; Knowledge Graph Analytics and Applications; Knowledge Graphs and NLP; ocial Network and Representation Learning; Knowledge Graphs for Education; Operations Research; Optimisation and Machine Learning

Co-located conferences:
IEEE International Conference on Data Mining (ICDM), Dec 7-10, online

Panel: Data Mining with Far Fewer Labels: Pretraining, Knowledge and Unsupervised Learning

11th IEEE International Conference on Knowledge Graph (ICKG-2020), August 9-11, 2020, Nanjing, China Virtual venue

(Host: Nanjing University of Finance and Economics, School of Information Engineering)

Keynotes:
On Presuppositions of Machine Learning: A Meta Theory; Analysing, Understanding and Repairing Knowledge Graphs at Scale; Cyber Security Meets Big Knowledge: Towards a Secure HACE Theorem

Conference Tracks:
Machine Learning and Knowledge Graphs; Knowledge Graph Analytics and Applications; Knowledge Graphs and NLP; Social Network and Representation Learning; Knowledge Graphs for Cultural Heritage; Domain Knowledge Graphs; Knowledge Graphs for Geospatial Information Systems or Education (was: Knowledge Graphs for Geospatial Information Systems; Knowledge Graphs for Education); Reasoning with Knowledge Graphs (CANCELLED); Knowledge Graphs for Explainable Artificial Intelligence (CANCELLED); Multimodal Knowledge Graphs (CANCELLED)

10th IEEE International Conference on Big Knowledge (IEEE ICBK 2019), November 10-11, 2019, Beijing, China

(Host: Mininglamp Academy of Science)

Keynotes:
Applying theory of data to practice; Actual Causality

Conference Sessions:
Algorithm and Theory for Big Knowledge; Co-location Pattern Mining; Data Mining in Big Knowledge; Machine Learning and its Applications; Representation Learning; Big Knowledge Systems

Conference Panels:
Marketing Intelligence – Let Marketing Drive Efficiency and Innovation

Co-located conferences:
IEEE International Conference on Data Mining (ICDM), Nov 8-11

9th IEEE International Conference on Big Knowledge (IEEE ICBK 2018), November 17-18, 2018, Singapore

(Host: Nanyang Technological University)

Keynotes:
A Preliminary Study on Big Knowledge; On Big Wisdom (ICDM)

Conference Sessions:
Knowledge Graphs; Neural Networks and Deep Learning; Representation Learning; Graph Mining and Knowledge Platforms; Machine Learning and its Applications; Social Networks; Multi-Pattern Analysis

Conference Panels:
Knowledge Engineering with Big Data

Co-located conferences:
IEEE International Conference on Data Mining (ICDM), Nov 17-20

8th IEEE International Conference on Big Knowledge (IEEE ICBK 2017), August 9 – 10, 2017, Hefei, China

(Host: Hefei University of Technology, Data Mining and Intelligent Computing Laboratory)

Keynotes:
Tracking in Dynamic Networks; Deep Learning in Bioinformatics

Conference Sessions:
Statistics Learning; Recommendation Systems; Knowledge Engineering; Dynamic Systems

Conference Panels:
Big Graph Processing and Analytics; Knowledge Engineering with Big Data

Conference Workshops:
Workshop on Big Data Partitioning and Mining; Workshop on Linked Data Mining; Workshop on Research and Application of Big Knowledge in Urban Governance; Workshop on Sparse, Uncertain, and Incomplete Data Modeling and Online Learning; Workshop on Analyzing and Predicting Interaction Behaviors; Workshop on Dynamic Knowledge Modeling and Evolution

7th “Data Mining and Intelligent Computing” Forum, August 9-10, 2016, Hefei University of Technology, Hefei, China

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6th “Data Mining and Intelligent Computing” Forum, August 9-10, 2015, Hefei University of Technology, Hefei, China

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5th “Data Mining and Intelligent Computing” Forum, August 9-10, 2014, Hefei University of Technology, Hefei, China

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4th “Data Mining and Intelligent Computing” Forum, August 9-10, 2013, Hefei University of Technology, Hefei, China

(in conjunction with the 1st Member Congress of the Anhui Artificial Intelligence Society)

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3rd “Data Mining and Intelligent Computing” Forum, August 9-10, 2012, Hefei University of Technology, Hefei, China

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2nd “Data Mining and Intelligent Computing” Forum, August 9-10, 2011, Hefei University of Technology, Hefei, China

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1st “Data Mining and Intelligent Computing” Forum, August 9-10, 2010, Hefei University of Technology, Hefei, China

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