Event-centric Knowledge Graph Representation to Transcribe Human Activity into the Cyber-Physical System
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- FUKUDA Ken
- AIST
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- EGAMI Shusaku
- AIST
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- UGAI Takanori
- AIST Fujitsu Limited
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- MORITA Takeshi
- Aoyama Gakuin University
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- OONO Mikiko
- AIST
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- KITAMURA Kouji
- AIST
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- YUE QIU
- AIST
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- HARA Kensho
- AIST
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- KOZAKI Kouji
- AIST Osaka Electro-Communication University
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- KAWAMURA Takahiro
- AIST National Agriculture and Food Research Organization
Bibliographic Information
- Other Title
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- イベント中心知識グラフによる人間生活を含む環境のサイバー空間への転写にむけて
Abstract
<p>Expectations are rising for human-centered AI embodied in the real world. Nevertheless, applications such as older adult support, child monitoring, and general-purpose robots for home use require event-centric knowledge of what happened in addition to observed data and external factual knowledge. In previous work, we have modeled event-centric knowledge graphs for mystery novels, using events as units to represent the whole scene as a sequence of events. We have also developed VirtualHome2KG, representing human behavior in cyberspace as an event-centric knowledge graph, including living environments and furniture and rooms. On the other hand, we are also developing an inference system that uses event-centric knowledge graphs to infer and explain dangers in daily life and derive safer alternatives. In this study, we discuss the schema of event-centric knowledge graphs, which enables us to infer risks that are difficult to detect directly in daily life and improve planning accuracy for generous-purpose home robots. Furthermore, we aim to emulate human daily living activity represented by knowledge graphs in cyberspace using VirtualHome2KG to provide a high-quality data set that serves to improve video recognition technology.</p>
Journal
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- Proceedings of the Annual Conference of JSAI
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Proceedings of the Annual Conference of JSAI JSAI2022 (0), 3L4GS805-3L4GS805, 2022
The Japanese Society for Artificial Intelligence
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Details 詳細情報について
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- CRID
- 1390855656035344384
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- Text Lang
- ja
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- Data Source
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- JaLC
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- Abstract License Flag
- Disallowed