Improving Search and Recommendation with Knowledge Graphs and Rules-Based AI (Live Demo)
Digital search is fundamental to the way we interact with the modern world.
And yet it often leaves plenty to be desired, lacking expressiveness and the ability to capture human intention, proving answers that fail to align with the user’s true desires.
With semantic technology, knowledge graphs and rules-based AI, the gap between human intention and machine understanding can be eliminated, not only providing relevant results but also allowing the user to ask more complex questions that go beyond the scope of conventional search.
This demo was first presented at the Knowledge Graph Conference 2024.
For a personalised demo of this, or any of our other applications, request a meeting today!
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00:00 Semantic Search and Recommendation Industries and Use Cases
00:20 What is Semantic Search and Recommendation?
01:09 Live Demo of Semantic Search and Rules-Based Recommendations
01:14 Traditional Search Limitations
01:40 Semantic Search in Action
01:54 Enriching Data with Inferred Knowledge
02:17 Negation (The lack of a property)
02:56 Aggregation (Sums and Counts)
03:30 Faceted Search
04:10 Rules-based AI Recommendations
04:56 AI Reasoning Results Visualised
05:15 Explainable AI
05:29 Calculating Recommendation Score
06:11 Incremental and Automatic Updates and Retraction
06:36 Knowledge Graphs On Device
06:53 RDFox Overview
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