論 文Papers

WORKSHOP (INTERNATIONAL)

A Scalable and Plug-in Based System to Construct A Production-Level Knowledge Base

Tomoya Yamazaki, Kentaro Nishi, Takuya Makabe, Mei Sasaki, Chihiro Nishimoto, Hiroki Iwasawa, Masaki Noguchi, Yukihiro Tagami

1st International Workshop on Challenges and Experiences from Data Integration to Knowledge Graphs (DI2KG), 2019/8

Category:

データサイエンス (Data Science) セマンティック・ウェブ (Semantic Web)

Abstract:
Knowledge bases play crucial roles in a wide variety of information systems, such as web search engines and intelligent personal assistants. For responding to constantly fluctuating user information demands, we aim to construct a large-scale and well-structured comprehensive knowledge base from the world’s evolving data. To maintain the quality of our large knowledge base at the production-level, we carefully design not only to match entities but to incorporate various automatic and manual validation methods because it is difficult to filter out all incorrect facts automatically in practice. In this paper, we propose a novel plugin-based system architecture satisfying the ability to rapidly identify mistakes and the system extensibility. Our constructed knowledge base is already utilized in Japanese Web services, and the number of entities in it keeps growing steadily.
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