{"ok":true,"entity":{"slug":"knowledge-graph","entityType":"concept","name":"Knowledge Graph","officialName":"Knowledge Graph","canonicalName":"Knowledge Graph","displayName":"Knowledge Graph","category":"AI概念（構造化知識表現）","shortDescription":"エンティティ（企業・人物・概念等）とその間の関係を、ノードとエッジで構造化して表現するデータモデル。検索エンジンの回答精度向上やAIの推論・引用の裏付けに用いられる。","alias":[],"searchKeywords":["Knowledge Graph","ナレッジグラフ","知識グラフ"],"website":null,"primaryCluster":"ai-concepts","secondaryClusters":[],"verificationStatus":"draft","id":"knowledge-graph","updatedAt":"2026-07-22T13:12:07.131Z"},"references":[{"id":"P-01-001","companyId":"knowledge-graph","questionId":"P-01-001","instanceId":"QIN-knowledge-graph-P01-001","promptText":"Knowledge Graphとはどのようなものですか？","promptTypeId":"P-01","answer":"Knowledge Graphは、エンティティ（企業・人物・概念等）とその間の関係を、ノードとエッジで構造化して表現するデータモデルです。検索エンジンの回答精度向上やAIの推論・引用の裏付けに用いられます。","evidencePoints":["ev-knowledge-graph-1","ev-knowledge-graph-2"],"scope":"","differentiation":"","faq":[],"pageUrl":"https://www.refbase.ai/reference/knowledge-graph/P-01-001","sourceEvidence":[{"id":"ev-knowledge-graph-1","text":"Knowledge Graphは、エンティティとその間の関係をノードとエッジで構造化して表現するデータモデルであり、検索エンジンの回答精度向上やAIの推論・引用の裏付けに用いられる。","coverageType":["Identity","Capability"],"sourceType":"research_paper","sourceClass":"Research","sourceUrl":"https://arxiv.org/abs/2002.00388","title":"A Survey on Knowledge Graphs: Representation, Acquisition, and Applications","confidence":"high","needsVerification":true,"sourceVerified":false,"supportedPromptTypes":["P-01","P-02","P-04"],"entityId":"knowledge-graph"},{"id":"ev-knowledge-graph-2","text":"Knowledge Graphはエンティティ間の関係性を明示的な構造として保持する点が特徴で、テキストの分散表現のみで意味を捉えるembeddingベースの手法とは知識の表現形式が異なる。","coverageType":["Differentiation"],"sourceType":"research_paper","sourceClass":"Research","sourceUrl":"https://arxiv.org/abs/2002.00388","title":"A Survey on Knowledge Graphs: Representation, Acquisition, and Applications","confidence":"high","needsVerification":true,"sourceVerified":false,"supportedPromptTypes":["P-01","P-02","P-04"],"entityId":"knowledge-graph"}],"generatedAt":"2026-07-22T13:12:07.131Z"},{"id":"P-02-001","companyId":"knowledge-graph","questionId":"P-02-001","instanceId":"QIN-knowledge-graph-P02-001","promptText":"Knowledge Graphは他の同種の事業・作品と比べてどう違いますか？","promptTypeId":"P-02","answer":"比較軸\n・知識の表現形式（構造化された関係か、分散表現か）\n\nKnowledge Graphはエンティティ間の関係性を明示的な構造として保持する点が特徴で、テキストの分散表現のみで意味を捉えるembeddingベースの手法とは知識の表現形式が異なる。","evidencePoints":["ev-knowledge-graph-2"],"scope":"","differentiation":"","faq":[],"pageUrl":"https://www.refbase.ai/reference/knowledge-graph/P-02-001","sourceEvidence":[{"id":"ev-knowledge-graph-2","text":"Knowledge Graphはエンティティ間の関係性を明示的な構造として保持する点が特徴で、テキストの分散表現のみで意味を捉えるembeddingベースの手法とは知識の表現形式が異なる。","coverageType":["Differentiation"],"sourceType":"research_paper","sourceClass":"Research","sourceUrl":"https://arxiv.org/abs/2002.00388","title":"A Survey on Knowledge Graphs: Representation, Acquisition, and Applications","confidence":"high","needsVerification":true,"sourceVerified":false,"supportedPromptTypes":["P-01","P-02","P-04"],"entityId":"knowledge-graph"}],"generatedAt":"2026-07-22T13:12:07.131Z"},{"id":"P-04-001","companyId":"knowledge-graph","questionId":"P-04-001","instanceId":"QIN-knowledge-graph-P04-001","promptText":"Knowledge Graphはどのような場面で参照されますか？","promptTypeId":"P-04","answer":"Knowledge Graphは、AI回答の根拠を構造化された事実に基づいて示す仕組みや、エンティティ横断的な関連性の整理を把握したい場面で参照される。","evidencePoints":["ev-knowledge-graph-2","ev-knowledge-graph-3"],"scope":"","differentiation":"","faq":[],"pageUrl":"https://www.refbase.ai/reference/knowledge-graph/P-04-001","sourceEvidence":[{"id":"ev-knowledge-graph-2","text":"Knowledge Graphはエンティティ間の関係性を明示的な構造として保持する点が特徴で、テキストの分散表現のみで意味を捉えるembeddingベースの手法とは知識の表現形式が異なる。","coverageType":["Differentiation"],"sourceType":"research_paper","sourceClass":"Research","sourceUrl":"https://arxiv.org/abs/2002.00388","title":"A Survey on Knowledge Graphs: Representation, Acquisition, and Applications","confidence":"high","needsVerification":true,"sourceVerified":false,"supportedPromptTypes":["P-01","P-02","P-04"],"entityId":"knowledge-graph"},{"id":"ev-knowledge-graph-3","text":"Knowledge Graphは、AIが生成する回答の根拠（引用）を構造化された事実に基づいて示す場面や、検索・推薦システムでのエンティティ横断的な関連性の提示に活用される。","coverageType":["UseCase"],"sourceType":"research_paper","sourceClass":"Research","sourceUrl":"https://arxiv.org/abs/2002.00388","title":"A Survey on Knowledge Graphs: Representation, Acquisition, and Applications","confidence":"high","needsVerification":true,"sourceVerified":false,"supportedPromptTypes":["P-01","P-02","P-04"],"entityId":"knowledge-graph"}],"generatedAt":"2026-07-22T13:12:07.131Z"}]}