Data Descriptions in Graphs: Discrete vs Continuous
Data Descriptions in Graphs: Discrete vs Continuous
4 months ago
teacherspayteachers.com
Building Temporal Intelligence into Knowledge Graphs Most graph systems capture how entities relate, but not when those relationships hold true. In a world of constant change, this missing temporal dimension limits how we understand, query, and trust our data. To make connected data truly intelligent, we need systems that reason not just about what is true, but when it was true and how it evolved. This talk explores how adding temporality transforms knowledge graphs from static structures into l
3:00
Building Temporal Intelligence into Knowledge Graphs Most graph systems capture how entities relate, but not when those relationships hold true. In a world of constant change, this missing temporal dimension limits how we understand, query, and trust our data. To make connected data truly intelligent, we need systems that reason not just about what is true, but when it was true and how it evolved. This talk explores how adding temporality transforms knowledge graphs from static structures into l
3 views3 months ago
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