The concept of knowledge graphs arose from scientific advances in a variety of research fields, including the semantic web, databases, natural language processing, and machine learning. According to ...

A new artificial intelligence (AI) method called BioPathNet helps researchers systematically search large biological data ...

インターネット検索や機械学習に欠かせないナレッジグラフは、グラフ構造でさまざまな知識を連結し、データを連係させて知識の探索や高度な分析を実行することができます。情報分野の学術雑誌「Communications of the ACM」が、人工知能と機械学習のベースと ...

Enhancing link prediction in biomedical knowledge graphs with BioPathNet. Nature Biomedical Engineering. DOI: 10.1038/s41551-025-01598-z ...

For decades, enterprise data infrastructure focused on answering the question: “What happened in our business?” Business intelligence tools, data warehouses, and pipelines were built to surface ...

Knowledge representation is a fundamental aspect of AI, which allows machines to understand, think, and even make choices ...

Ever since the introduction of the Google Knowledge Graph, a growing number of organizations have adopted this powerful technology to drive efficiency and effectiveness in their data management.

While retrieval-augmented generation is effective for simpler queries, advanced reasoning questions require deeper connections between information that exist across documents. They require a knowledge ...