Search Results for author: Shusaku Egami

Found 5 papers, 3 papers with code

Synthetic Multimodal Dataset for Empowering Safety and Well-being in Home Environments

no code implementations26 Jan 2024 Takanori Ugai, Shusaku Egami, Swe Nwe Nwe Htun, Kouji Kozaki, Takahiro Kawamura, Ken Fukuda

The dataset is developed for the Knowledge Graph Reasoning Challenge for Social Issues (KGRC4SI), which focuses on identifying and addressing hazardous situations in the home environment.

Knowledge Graphs

RDF-star2Vec: RDF-star Graph Embeddings for Data Mining

2 code implementations25 Dec 2023 Shusaku Egami, Takanori Ugai, Masateru Oota, Kyoumoto Matsushita, Takahiro Kawamura, Kouji Kozaki, Ken Fukuda

Knowledge Graphs (KGs) such as Resource Description Framework (RDF) data represent relationships between various entities through the structure of triples (<subject, predicate, object>).

Benchmarking Knowledge Graph Embedding +4

CIRO: COVID-19 infection risk ontology

1 code implementation7 Aug 2023 Shusaku Egami, Yasunori Yamamoto, Ikki Ohmukai, Takashi Okumura

This ontology expresses infection risks of COVID-19 formulated by the Japanese government, toward automated assessment of infection risks of individuals, using Resource Description Framework (RDF) and SPARQL (SPARQL Protocol and RDF Query Language) queries.

Computational Efficiency

Synthesizing Event-centric Knowledge Graphs of Daily Activities Using Virtual Space

1 code implementation30 Jul 2023 Shusaku Egami, Takanori Ugai, Mikiko Oono, Koji Kitamura, Ken Fukuda

Artificial intelligence (AI) is expected to be embodied in software agents, robots, and cyber-physical systems that can understand the various contextual information of daily life in the home environment to support human behavior and decision making in various situations.

Decision Making Embodied Question Answering +2

Report on the First Knowledge Graph Reasoning Challenge 2018 -- Toward the eXplainable AI System

no code implementations22 Aug 2019 Takahiro Kawamura, Shusaku Egami, Koutarou Tamura, Yasunori Hokazono, Takanori Ugai, Yusuke Koyanagi, Fumihito Nishino, Seiji Okajima, Katsuhiko Murakami, Kunihiko Takamatsu, Aoi Sugiura, Shun Shiramatsu, Shawn Zhang, Kouji Kozaki

This paper presents a summary report of the first challenge held in 2018, including the knowledge graph construction, the techniques proposed for reasoning and/or estimation, the evaluation metrics, and the results.

graph construction

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