{"type":"ScholarlyArticle","title":"A Survey on Extractive Knowledge Graph Summarization: Applications, Approaches, Evaluation, and Future Directions","authors":[{"name":"Xiaxia Wang","slug":"xiaxia-wang","given":"Xiaxia","family":"Wang","affiliation":"State Key Laboratory for Novel Software Technology , Nanjing University , China; Department of Computer Science , University of Oxford , UK"},{"name":"Gong Cheng","slug":"gong-cheng","given":"Gong","family":"Cheng","affiliation":""}],"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.","doi":"10.24963/ijcai.2024/916","url":"https://ijcai.org/proceedings/2024/916","pdf":"https://ijcai.org/proceedings/2024/0916.pdf","markdown":"https://ijcai.org/proceedings/2024/916.md","bibtex":"https://ijcai.org/proceedings/2024/bibtex/916","volume":{"slug":"2024","title":"Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2024","url":"https://ijcai.org/proceedings/2024/","year":2024,"location":"Jeju, Korea","dates":"3-9 August 2024","editors":"Kate Larson","isbn":"978-1-956792-04-1","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2024"},"section":"Survey Track","track":"Survey Track","number":916,"pages":{"first":8290,"last":8298},"keywords":["Knowledge Representation and Reasoning: KRR: Semantic Web","Data Mining: DM: Mining graphs","Data Mining: DM: Knowledge graphs and knowledge base completion"],"videos":[],"references":[{"position":1,"raw":"[Bai et al., 2008] Xi Bai, Renaud Delbru, and Giovanni Tummarello. 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