Call For Papers:
The Second International Knowledge Graph Reasoning Challenge (IKGRC 2024)
in conjunction with The 18th IEEE International Conference on Semantic
Computing (ICSC 2024)
Feb 5 – Feb 7, 2024
Laguna Hills, California
Format: Hybrid event
Submission due: Dec 20
“The Second Knowledge Graph Reasoning Challenge” aims to develop safety
technologies for older adults by providing a standardized dataset of knowledge
graphs and videos. This year’s task focuses on extracting statistical
information on interactions with actions and objects that lead to risks in
daily life.
Challenge Goal: To ensure the safety of older adults at home by developing
technologies that can detect accident risks and provide safer alternatives
using a standardized dataset.
Challenge Task: Participants are provided with video data transformed into
knowledge graphs, detailing daily life actions in VirtualHome. The task is to
extract statistical information on risky interactions with actions and
objects. We have prepared 70 scenarios and eight specific questions to be
answered using the provided data. The data is available on our GitHub
repository.(https://github.com/KnowledgeGraphJapan/KGRC-RDF/tree/kgrc4si)
There are two divisions for entries:
* Phase1 (for beginners): Answer questions using the complete knowledge graph.
* Phase2 (for advanced): Answer questions using partially anonymized
knowledge graphs or videos.
For detailed task information, visit https://ikgrc.org/2024/application.html.
Submissions:
* Submit a short paper (2 pages minimum, IEEE format
(https://www.ieee.org/conferences/publishing/templates.html)) outlining
your approach by December 20, 2023. Accepted papers will be published
in the Proceedings of the ICSC. Submit via EasyChair
(https://easychair.org/conferences/?conf=ikgrc2024).
* If accepted, send materials explaining your system, tools, and ideas
(formats: .doc, .pdf) by January 22th, 2024, to kgrc@knowledge-graph.jp.
* Present your work with a demonstration at the workshop. Prizes will be
awarded to the best entries.
Evaluation Criteria:
* Accuracy rate, technical ingenuity, method of inference, expanded knowledge.
* Evaluation based on the submitted paper and presentation on the day.
* Peer review planned for the event day.
Contact:
For inquiries, please contact kgrc@knowledge-graph.jp (SWO SIG,
The Japanese Society for Artificial Intelligence).