Open-Environment Knowledge Graph Construction and Reasoning: Challenges, Approaches, and Opportunities

Lecture Tutorial for The IJCAI 2023

Abstract

This tutorial provides an extensive and comparative overview of open-environment knowledge graph construction, as developing intelligent systems capable of extracting, representing, and reasoning in open and dynamic environments is critical for data-driven decision-making and optimizing complex processes. The tutorial encompasses the background, benchmarks, challenges, approaches and opportunities related to this field.

PPT Download: IJCAI2023@Tutorial_OpenKG_LLM

Outline

Part1: Introduction to KG Construction and Reasoning (Presenter: Ningyu Zhang, 30 Min).
Part2: Low-resource KG Construction and Reasoning (Presenter: Shumin Deng, 40 Min).
Part3: Multimodal KG Construction and Reasoning（Ⅰ） (Presenter: Meng Wang, 20 Min).
A short break (10 Min)
Part4: Multimodal KG Construction and Reasoning（Ⅱ） (Presenter: Meng Wang, 20 Min).
Part5: Uncertain KG Construction and Reasoning (Presenter: Tianxing Wu, 40 Min).
Part6:Discussion on Main Issues & Opportunities (Presenter: Ningyu Zhang, 30 Min).

Presenter

Ningyu Zhang

Associate Professor
Zhejiang University

Meng Wang

Tianxing Wu

Assistant Professor
Southeast University

Shumin Deng

Research Fellow

National University of Singapore