The Knowledge Exploration Service takes data and grammar provided by users and creates a service for interactive search. It supports natural language queries over structured data, offering auto-complete suggestions and semantic annotations as users enter queries. Users retrieve top matching objects and create histograms of attribute values among matches. The service powers examples like the academic search engine at academic.microsoft.com using the Microsoft Academic Graph. Development occurs locally with smaller datasets or on Azure VMs, with the SDK including command line tools and examples for building indexes.
Supports interactive faceted data visualization
Works on structured enterprise and web data
Handles relational, tabular, and document data
Relies on well-structured schema, so messy data reduces effectiveness.
Not ideal for unstructured text, limiting standalone use cases.
Pricing yet to be updated!
