The goal of this workshop is to facilitate practitioners in sharing their experiences, best practice, challenges and success/failure stories. Focus is on “Applied” Knowledge Graphs. This means all the presentation/demo will be on applied knowledge graphs work in Government, Industry, Non-Profit-Organisation, etc. The PRIWAKG Organising Committee invites you to actively contribute to the workshop by submitting a short description (no more than 2 pages) of your system for consideration and inclusion in the programme of the PRIWAKG-2023.
The PRIWAKG-2023 workshop will be held in HYBRID mode, meaning that you have the option to participate onsite or remotely via Zoom.
Deadline for Abstract Submission: 15th September 2023
Acceptance/Rejection Notification: 29th September 2023
Presentation Slide Deadline & Author Registration: 27th October 2023
Workshop Date: 16th November 2023
Post-Workshop Proceedings Publication Date: 31st January 2024
Oral presentation
Poster presentation
Abstracts can be submitted under (but not limited to) the following fields:
Education:
o Course Knowledge Graphs
o Instructional Concepts Extraction
o Educational Relation Identification
o Integration of Social Media Contents and Formal Learning Contents
Scientific Research:
o Knowledge Graphs and Explainable AI
o Knowledge Graph Based Academic Network
o Knowledge Graph Based Rule Engine
o Knowledge Graph Embeddings
o Knowledge Acquisition
o Knowledge Graph Completion
o Knowledge Fusion
o Knowledge Reasoning
o Knowledge Refinement
o Knowledge Evolution
o Cognitive Knowledge Graph
o Visual Knowledge Graph
o Spatial Knowledge Graph
Social Networks:
o News-Entity Knowledge Graphs
o Information Aggregation of User-User and User-Item Graphs
o Multimedia knowledge Graph Construction
o Knowledge Graph Propagation
o Knowledge Graph Analytics
Health/Medical Care:
o Medical Knowledge Graph Embeddings
o Knowledge Guided Graph Attention Network
o Mining the Relationships Between Drugs
o Multilingual Clinical/Medical Knowledge Graph
o Large-Scale Multimodal and Multi-source Medical Knowledge Base
o Knowledge Graphs in Medical Imaging Analysis
o Biomedical Knowledge Graph
o Life Sciences Knowledge Graph
AI Systems Using Knowledge Graphs
o Recommender Systems
o Question-Answering Systems
o Information Retrieval
o Risk Analytics
o Climate Sciences
o Environmental, Social and Corporate Governance
o Social Good (UN's 17 Sustainable Development Goals)
o Space Mission and Exploration
o Geoscience
o Geographic
o Macroeconomic Analysis
All abstracts received by the indicated deadline will be evaluated by the PRIWAKG Organising Committee. Acceptance, together with technical details for presentation (oral or poster presentation), will be notified to the submitting author by 29th September 2023.
Dr. Dickson Lukose
Mr. Prasad Yalamanchi
E-mail: priwakg@gmail.com
Copyright © 2024 Pacific Rim International Workshop on Applied Knowledge Graphs - All Rights Reserved.
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