Creating the backend using the Knowledge Exploration Service
by Leif Larsen
Learning Microsoft Cognitive Services - Third Edition
- Learning Microsoft Cognitive Services - Third Edition
- Table of Contents
- Learning Microsoft Cognitive Services - Third Edition
- Contributors
- Acknowledgments
- Preface
- 1. Getting Started with Microsoft Cognitive Services
- 2. Analyzing Images to Recognize a Face
- 3. Analyzing Videos
- 4. Letting Applications Understand Commands
- 5. Speaking with Your Application
- 6. Understanding Text
- 7. Building Recommendation Systems for Businesses
- 8. Querying Structured Data in a Natural Way
- Tapping into academic content using the academic API
- Interpreting natural language queries
- Finding academic entities in query expressions
- Calculating the distribution of attributes from academic entities
- Entity attributes
- Creating the backend using the Knowledge Exploration Service
- Defining attributes
- Adding data
- Building the index
- Understanding natural language
- Local hosting and testing
- Going for scale
- Answering FAQs using QnA Maker
- Creating a knowledge base from frequently asked questions
- Training the model
- Publishing the model
- Summary
- 9. Adding Specialized Searches
- 10. Connecting the Pieces
- A. LUIS Entities
- B. License Information
- Index
The Knowledge Exploration Service (KES) is, in some ways, the backend for the academic API. It allows us to build a compressed index from structured data, authoring grammar to interpret natural language.
To get started with the KES, we need to install the service locally.
Note
To download the KES installer, go to https://www.microsoft.com/en-us/download/details.aspx?id=51488.
With the installation comes some example data, which we will use.
The steps required to have a working service are as follows:
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