Contextualized Scene Knowledge Graphs for XAI Benchmarking-Reference-Cited by-同舟云学术

Contextualized Scene Knowledge Graphs for XAI Benchmarking

Published:2022-10-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 11th International Joint Conference on Knowledge Graphs
language:
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Author:

Kawamura Takahiro¹^ORCID,Egami Shusaku²^ORCID,Matsushita Kyoumoto³^ORCID,Ugai Takanori³^ORCID,Fukuda Ken²^ORCID,Kozaki Kouji⁴^ORCID

Affiliation:

1. National Agriculture and Food Research Organization, Japan

2. National Institute of Advanced Industrial Science and Technology, Japan

3. Fujitsu Limited, Japan

4. Osaka Electro-Communication University, Japan

Funder

JSPS KAKENHI

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3579051.3579061

Reference17 articles.

1. Shusaku Egami , Satoshi Nishimura , and Ken Fukuda . 2021 . Virtual-Home2KG: Constructing and Augmenting Knowledge Graphs of Daily Activities Using Virtual Space . 20th International Semantic Web Conference (ISWC 2021 ), Posters, Demos and Industry Tracks (2021). Shusaku Egami, Satoshi Nishimura, and Ken Fukuda. 2021. Virtual-Home2KG: Constructing and Augmenting Knowledge Graphs of Daily Activities Using Virtual Space. 20th International Semantic Web Conference (ISWC 2021), Posters, Demos and Industry Tracks (2021).

2. Evaluation of metadata representations in RDF stores

3. EventKG – the hub of event knowledge on the web – and biographical timeline generation

4. What is Event Knowledge Graph: A Survey

5. Shuhei Katsushima , Hajime Anada , Shusaku Egami , and Ken Fukuda . 2021 . A Criminal Detection of Mystery Novel Using the Principal Components Regression Analysis Considering Co-Occurrence Words . 1st Int’l Workshop on Knowledge Graph Reasoning for Explainable Artificial Intelligence (KGR4XAI)(2021) . Shuhei Katsushima, Hajime Anada, Shusaku Egami, and Ken Fukuda. 2021. A Criminal Detection of Mystery Novel Using the Principal Components Regression Analysis Considering Co-Occurrence Words. 1st Int’l Workshop on Knowledge Graph Reasoning for Explainable Artificial Intelligence (KGR4XAI)(2021).

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