Knowledge Graph Embedding for Topical and Entity Classification in Multi-Source Social Network Data
Knowledge Graph Embedding for Topical and Entity Classification in Multi-Source Social Network Data
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DOI：
10.1145/3625007.3627315
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发表时间：
2023-11
期刊：
影响因子：
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通讯作者：
Abiola Akinnubi;Nitin Agarwal;Mustafa Alassad;Jeremiah Ajiboye
中科院分区：
文献类型：
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作者：
Abiola Akinnubi;Nitin Agarwal;Mustafa Alassad;Jeremiah Ajiboye
从历史上看，在线数据为信息挖掘提供了有意义的见解，导致采用知识图应用于在线数据。知识嵌入已成为编码和解码链接、关系以及预测实体与现有知识图的联系的重要方面。本研究应用主题建模从印度太平洋地区不同来源的异构网络数据中提取主题，实体和主题，并建立知识图。通过在印度-太平洋一带一路倡议的领域知识图上应用四种评分机制：ComplEx，TransE，DistMult和HolE，对知识图进行知识嵌入，以确定它是否能够揭示缺失的见解。这项工作显著地使用了知识图谱和嵌入来理解与社会经济相关的在线讨论。本研究的知识嵌入聚类结果，从数据中获得了有价值的见解。NASAKOM和BRI等重要主题在第0组中确定。第一组包含讨论与印度尼西亚同义的马克思主义运动的主题，第二组展示了中国道路政策的主题，如亚太经济合作组织和中国进出口银行。第3组主要侧重于中国的经济政策和菲律宾。总的来说，这项研究证明了主题建模和知识嵌入在从在线数据中发现见解方面的有用性，并对理解印度-太平洋地区的社会经济趋势产生了影响。
Historically, online data has provided meaningful insights for information mining, leading to the adoption of knowledge graphs for application to online data. Knowledge embedding has become an important aspect of encoding and decoding links, relationships, and predicting the ties of an entity to an existing knowledge graph. This study applied topic modeling to extract topics, entities, and themes from heterogeneous web data from different sources around the Indo-Pacific region and modeled a knowledge graph. The knowledge graph was subjected to knowledge embedding by applying four scoring mechanisms: ComplEx, TransE, DistMult, and HolE, on a domain knowledge graph of Indo-Pacific Belt and Road initiatives to determine whether it was capable of revealing missing insights. This work significantly uses knowledge graphs and embedding to understand socioeconomic-related discussions online. Valuable insights were gained from the data in this research's clustering results of knowledge embedding. Important themes such as NASAKOM and BRI were identified in Cluster 0. Cluster 1 contained themes that discussed Marxist movements synonymous with Indonesia, and Cluster 2 showed themes on China's road policies, such as Asia-Pacific Economic Cooperation and Export-Import Bank China. Cluster 3 focused mainly on China's economic policies and the Philippines. Overall, this study demonstrates the usefulness of topic modeling and knowledge embedding in uncovering insights from online data and has implications for understanding socioeconomic trends in the Indo-Pacific region.