**Last Call for Papers - please circulate this CFP to your colleagues and networks **
12th International Conference on Knowledge Capture (K-CAP 2023)
https://www.k-cap.org/2023/cfp.html
_______
Submission deadline EXTENDED: Abstract submission has been extended until August 27th, 2023, and paper submission is extended until September 1st, 2023, AoE.
_______
We are pleased to invite you to contribute to the 12th International Conference on Knowledge Capture 2023 held in Pensacola, Florida, USA, from 5-7 December 2023.
Summary:
The International Conference on Knowledge Capture, K-CAP, aims at bringing together an interdisciplinary group of researchers on a diverse set of topics with an interest in the development of knowledge capture. This involves the design and development of formalisms, methods, and tools that enable efficient and precise extraction and organization of knowledge from different sources and for different modalities of use including, for example, automated reasoning, machine learning, and human-machine teaming.
Topics of interest:
Areas of interest for submissions to K-CAP 23 include, but are not limited to, the following topics:
Knowledge representation
Knowledge acquisition
Ethical aspects related to knowledge capture and acquisition
Knowledge capture for supporting explainability and, vice-versa, leveraging explainability approaches for knowledge capture
Intelligent user interfaces for knowledge acquisition and retrieval
Innovative query processing and question answering over heterogeneous knowledge bases
Novel evaluation paradigms for knowledge capture
Problem-solving and reasoning
The role of knowledge and knowledge capture in neuro-symbolic AI
Compact knowledge representation such as constraint networks and graphical models
Knowledge capture in multi-agent systems
The intersection of planning and knowledge capture
Information extraction from text
The role of metadata in knowledge capture processes
Multi-modal knowledge capture from text, tables, images, video or sound
Machine learning and representation learning
Information enrichment and visualization
The role of language models in knowledge graph construction and representation
Techniques for extracting structured knowledge from large-scale language models
Applications of deep learning to knowledge representation and reasoning, such as graph neural networks and graph convolutional networks
Advancements in representation learning and deep learning for knowledge capture
Utilizing deep learning for information extraction from structured and unstructured data to improve knowledge capture
Important Dates:
Abstract submission: August 27th, 2023
Paper submission: September 1st, 2023
Author notification: September 25th, 2023
Camera-ready version due: October 15th, 2023
Conference dates: December 5-7, 2023
All deadlines are midnight AoE (Anywhere on Earth).
Submissions:
The Twelfth International Conference on Knowledge Capture, K-CAP 2023, features a full papers track for research papers, as well as tracks for short papers, for visionary ideas.
Full papers, which describe original research, can be up to 8 pages long including references. Full papers will appear in the conference proceedings and will be citable as K-CAP 2023 publications.
Short papers, which may describe (possibly preliminary or open-ended) research, applications (academic, industrial, or otherwise), and late-breaking results, can be up to 4 pages long, including references. Short papers will also appear in the conference proceedings and will be citable as K-CAP 2023 publications.
Visionary papers, which describe outrageous ideas or potentially preliminary, but highly innovative research, can be up to 2 pages long, including references. Visionary papers will be presented as short talks in the conference program.
All submissions to K-CAP should be made through EasyChair: https://easychair.org/conferences/?conf=kcap2023
We are looking forward to your submissions!
Best Regards,
On behalf of the organizing committee,
Blerina Spahiu
---------------
To unsubscribe from the DBWorld mailing list please visit https://dbworld.sigmod.org and follow the unsubscribe directions given there.
|