Guide to Dimensions AI Search Language-DSL Query Conversion Tool

Example

A user wants to find out how many research papers on 'neural networks' have been published each year since 2010. The tool would generate the DSL code: `search publications for 'neural networks' where year >= 2010 return year, count`.

Scenario

This function is particularly useful in academic research where trends over time are crucial for understanding the evolution of a specific scientific field.

Example

Once data is retrieved via DSL, the tool suggests using Google Sheets functions like `PIVOT TABLES` or `CHARTS` to visualize the data, such as showing the number of publications over the years in a bar chart.

Scenario

This is beneficial for researchers who need to present their findings visually to convey the impact or trends clearly to an audience that may not be specialized in their field.

Example

For beginners, the tool explains the structure and syntax of DSL, breaking down each component of the DSL code `search grants for 'sustainable energy' return researchers` to illustrate how each segment contributes to the query.

Scenario

Ideal for students or new researchers who are starting to explore complex databases and need guidance on structuring queries effectively.