Book Image

Learning Microsoft Cognitive Services - Second Edition

By : Leif Larsen
Book Image

Learning Microsoft Cognitive Services - Second Edition

By: Leif Larsen

Overview of this book

Microsoft has revamped its Project Oxford to launch the all new Cognitive Services platform-a set of 30 APIs to add speech, vision, language, and knowledge capabilities to apps. This book will introduce you to 24 of the APIs released as part of Cognitive Services platform and show you how to leverage their capabilities. More importantly, you'll see how the power of these APIs can be combined to build real-world apps that have cognitive capabilities. The book is split into three sections: computer vision, speech recognition and language processing, and knowledge and search. You will be taken through the vision APIs at first as this is very visual, and not too complex. The next part revolves around speech and language, which are somewhat connected. The last part is about adding real-world intelligence to apps by connecting them to Knowledge and Search APIs. By the end of this book, you will be in a position to understand what Microsoft Cognitive Service can offer and how to use the different APIs.
Table of Contents (19 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Creating the backend using the Knowledge Exploration Service


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 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:

  1. Define a schema.
  2. Generate data.
  3. Build the index.
  4. Author grammar.
  5. Compile grammar.
  6. Host service.

Defining attributes

The schema file defines the attribute structure in our domain. When we previously discussed the Academic API, we saw a list of different entity attributes, which we could retrieve through the queries. This is defined in a schema.

If you open the file, Academic.schema, in the Example folder found where KES is installed, you will see the...