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

no code implementations • 26 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 implementations • 25 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

Extracting Domain-specific Concepts from Large-scale Linked Open Data

1 code implementation • 22 Nov 2021 • Satoshi Kume, Kouji Kozaki

As an example of extracting a class hierarchy from LOD, we used Wikidata to construct a domain ontology for polymer materials and physical properties.

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

no code implementations • 22 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