A Survey on Extractive Knowledge Graph Summarization: Applications, Approaches, Evaluation, and Future Directions

February 19, 2024 · The Cartographer · 🏛 International Joint Conference on Artificial Intelligence

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"Title-pattern auto-detect: A Survey on Extractive Knowledge Graph Summarization: Applications, Approaches, Evaluation, and Futu"

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Authors Xiaxia Wang, Gong Cheng arXiv ID 2402.12001 Category cs.AI: Artificial Intelligence Cross-listed cs.DB, cs.IR, cs.SI Citations 3 Venue International Joint Conference on Artificial Intelligence Last Checked 23 hours ago

Abstract

With the continuous growth of large Knowledge Graphs (KGs), extractive KG summarization becomes a trending task. Aiming at distilling a compact subgraph with condensed information, it facilitates various downstream KG-based tasks. In this survey paper, we are among the first to provide a systematic overview of its applications and define a taxonomy for existing methods from its interdisciplinary studies. Future directions are also laid out based on our extensive and comparative review.