posted by organizer: ICBK || 3990 views || tracked by 1 users: [display]

ICBK 2021 : The 12th IEEE International Conference on Big Knowledge


When Dec 7, 2021 - Dec 8, 2021
Where Auckland, New Zealand
Submission Deadline Aug 16, 2021
Notification Due Sep 26, 2021
Final Version Due Oct 16, 2021
Categories    knowledge graphs   machine learning   data mining

Call For Papers

Big Knowledge deals with fragmented knowledge from heterogeneous, autonomous information sources for complex and evolving relationships, in addition to domain expertise. The 12th IEEE International Conference on Big Knowledge(ICBK-2021), provides a premier international forum for presentation of original research results in Big Knowledge opportunities and challenges, as well as exchange and dissemination of innovative, practical development experiences. The conference covers all aspects of Big Knowledge, including algorithms, software, platforms, and applications for knowledge graph construction, maintenance, and inference. ICBK 2021 draws researchers and application developers from a wide range of Big Knowledge related areas such as knowledge engineering, knowledge graph systems, 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 Big Knowledge problems, the conference seeks to continuously advance the state-of-the-art in Big Knowledge.

Accepted papers will be published in the conference proceedings by the IEEE Computer Society. Awards will be conferred at the conference on the authors of the best paper and the best student paper. High quality papers will be invited for a special issue of Knowledge and Information Systems Journal in an expanded and revised form.

Topics of Interest
Topics of interest include, but are not limited to:
Foundations, algorithms, models, and theory of Big Knowledge processing.
Knowledge engineering with big data.
Machine learning, data mining, and statistical methods for Big Knowledge 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.
Crowdsourcing, deep learning and edge computing for graph mining.
Rule and relationship discovery in knowledge graph computing.

You can also select the following Track Topics

Track01: Machine Learning and Knowledge Graphs.
Track02: Reasoning with Knowledge Graphs.
Track03: Knowledge Graph Analytics and Applications.
Track04: Knowledge Graphs and NLP.
Track05: Knowledge graphs for Explainable AI.
Track06: Multimodal Knowledge Graphs.
Track07: Social Network and Representation Learning.
Track08: Knowledge Graphs for Cultural Heritage.
Track09: Knowledge Graphs for Geospatial Information Systems.
Track10: Domain Knowledge Graphs.
Track11: Knowledge Graphs for Education.

Submission Guidelines
Paper submissions should be no longer than 8 pages, in the IEEE 2-column format, including the bibliography and any possible appendices. Submissions longer than 8 pages will be rejected without review. All submissions will be reviewed by the Program Committee on the basis of technical quality, relevance to Big Knowledge, originality, significance, and clarity. You can choose to identify a Track Topic number in your submission title (e.g.,your_paper_title-Track01) during submission.

All manuscripts are submitted as full papers and are reviewed based on their scientific merit. The reviewing process is confidential. There is no separate abstract submission step. There are no separate industrial, application, short paper or poster tracks. Manuscripts must be submitted electronically in online submission system. We do not accept email submissions.

Important Dates

All deadlines are at 11:59PM Pacific Daylight Time.
Paper submission: August 16, 2021
Notification of acceptance/rejection: September 26, 2021
Camera-ready deadline and copyright forms: October 16, 2021
Early Registration Deadline: October 16, 2021
Conference: December 7-8, 2021

Related Resources

AIKE 2024   7th IEEE International Conference on Artificial Intelligence and Knowledge Engineering
ECAI 2024   27th European Conference on Artificial Intelligence
IEEE BigData 2024   2024 IEEE International Conference on Big Data
ACM-Ei/Scopus-CCISS 2024   2024 International Conference on Computing, Information Science and System (CCISS 2024)
ICDM 2024   IEEE International Conference on Data Mining
BDCAT 2024   IEEE/ACM Int’l Conf. on Big Data Computing, Applications, and Technologies
AIM@EPIA 2024   Artificial Intelligence in Medicine
ICIBA 2024   4th IEEE International Conference on Information Technology, Big Data and Artificial Intelligence
MEDES 2024   The 16th International Conference on Management of Digital EcoSystems
JCICE 2024   2024 International Joint Conference on Information and Communication Engineering(JCICE 2024)