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知识图谱中的实体摘要:算法、评价和应用(来自WWW 2020)
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2020-04-25
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在一个知识图谱中,描述一个实体的几十个或几百个事实可能会超出一个典型用户界面的能力,并使用户超载过多的信息。这激发了对实体摘要的富有成果的研究——为实体自动生成紧凑的摘要,以高效和有效地满足用户的信息需求。
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Entity Summarization in Knowledge Graphs:
Algorithms, Evaluation, and Applications
Gong Cheng, Kalpa Gunaratna, Evgeny Kharlamov
Presenters
Kalpa Gunaratna
Samsung Research America
k.gunaratna@samsung.com
Evgeny Kharlamov
Bosch Centre for AI
& University of Oslo
evgeny.kharlamov@de.bosch.com
evgeny.kharlamov@ifi.uio.no
Gong Cheng
Nanjing University
gcheng@nju.edu.cn
Outline
Part I Introduction to knowledge graphs and entity summarization (by Evgeny)
Part II.A Generic technical features for entity summarization (by Kalpa)
Part II.B Specific technical features for entity summarization (by Kalpa)
Part III Frameworks for feature combination and representative algorithms (by Gong)
Part IV Evaluation methods and results (by Gong)
Part V Entity summarization with user feedback (by Evgeny)
Part VI Conclusion and future directions (by Evgeny)
PART I
Introduction to knowledge graphs and entity summarization
Part I Introduction to knowledge graphs and entity summarization (by Evgeny)
Part II.A Generic technical features for entity summarization (by Kalpa)
Part II.B Specific technical features for entity summarization (by Kalpa)
Part III Frameworks for feature combination and representative algorithms (by Gong)
Part IV Evaluation methods and results (by Gong)
Part V Entity summarization with user feedback (by Evgeny)
Part VI Conclusion and future directions (by Evgeny)
Knowledge Graph
Is a graph
that represents a piece of information
in such a way that
● Nodes
○ Entities
○ Classes
● Directed edges
○ properties of entities
○ Typing of entities
○ Class hierarchies
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