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Construction and Application of Event Logic Graph: A Survey

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Database Systems for Advanced Applications. DASFAA 2022 International Workshops (DASFAA 2022)

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Abstract

Since being proposed in 2017, event logic graph has attracted more and more researchers’ attention and has been gradually applied in various fields such as finance, health care, transportation, information, politics, etc. Unlike the traditional knowledge graph describing static entities and their attributes and relationships, the event logic graph describes the evolution rules and patterns between events. The construction of event logic graphs is significant for understanding human behavior patterns and mining event evolution rules. The survey first systematically combs the work of constructing an event logic graph, including event extraction and event relationship extraction methods. Secondly, the typical application of the event logic graph is explained. Finally, the challenges of event logic graph construction are analyzed, and future research trends are prospected.

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Authors and Affiliations

  1. State Grid Electronic Commerce Co., Ltd./State Grid Financial Technology Group, Beijing, China

    Bin Zhang & Ximin Sun

  2. State Grid Ecommerce Technology Co., Ltd., Beijing, China

    Xiaoming Li, Dan Liu, Shuai Wang & Jiangkai Jia

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  1. Bin Zhang
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  3. Xiaoming Li
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  5. Shuai Wang
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  6. Jiangkai Jia
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Correspondence to Ximin Sun .

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  1. University of Aizu, Aizu, Japan

    Uday Kiran Rage

  2. Indraprastha Institute of Information Technology, Delhi, India

    Vikram Goyal

  3. Data Sciences and Analytics Center, International Institute of Information Technology, Hyderabad, Telangana, India

    P. Krishna Reddy

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Zhang, B., Sun, X., Li, X., Liu, D., Wang, S., Jia, J. (2022). Construction and Application of Event Logic Graph: A Survey. In: Rage, U.K., Goyal, V., Reddy, P.K. (eds) Database Systems for Advanced Applications. DASFAA 2022 International Workshops. DASFAA 2022. Lecture Notes in Computer Science, vol 13248. Springer, Cham. https://doi.org/10.1007/978-3-031-11217-1_12

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