Automatic Generation of Event Ontology from Social Network and Mobile Positioning Data
Automatic Generation of Event Ontology from Social Network and Mobile Positioning Data
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DOI：
10.1145/3486622.3493933
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发表时间：
2021-12
期刊：
影响因子：
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通讯作者：
Landy Rajaonarivo;Tsunenori Mine;Y. Arakawa
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文献类型：
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作者：
Landy Rajaonarivo;Tsunenori Mine;Y. Arakawa
对移动的定位数据的研究使得有可能检测在给定时段期间在特定地点是否发生了事件。然而，确定活动的性质和细节是一项挑战，特别是如果活动并不广为人知，就像当地活动一样。我们提出了一种方法来确定本地事件的性质，通过生成一个本体在一个完全自动的方式从社会网络数据和数据的人的运动，并通过查询这个生成的本体。这种方法使用实体发现技术、过滤系统和通过开放数据的信息丰富，以及用于匹配发现的实体和本体元素的系统。通过调查评估使我们能够大致验证本体中提供的信息是可靠的，有意义的，并回答了我们的问题。
The study of mobile positioning data makes it possible to detect whether an event has happened at a particular place during a given period. However, determining the nature and details of the event is a challenge, especially if the event is not widely known, as is the case for local events. We propose an approach to determining the nature of local events by generating an ontology in a completely automatic way from social network data and data on people’s movements and by querying this generated ontology. This approach uses entity discovery techniques, filtering systems and information enrichment via Open Data, as well as a system for matching discovered entities and ontology elements. Evaluation via a survey allowed us to validate approximately that the information presented in the ontology is reliable, makes sense and answers our questions.