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

Tapping into academic content using the Academic API


Microsoft Academic Graph (MAG) is a knowledge base for web-scale, heterogeneous entity graphs. Entities model scholarly activities, containing information such as field of study, author(s), institution, and more.

Data contained in MAG is indexed from the Bing web index. As this is continuously indexed, the data is always up to date.

Using the Academic API, we can tap into this knowledge base. Combining search suggestions, research paper graph search results, and histogram distributions, the API enables a knowledge-driven and interactive dialog.

When a user searches for research papers, the API can provide query completion. It may suggest queries based on the input. With a complete query, we can evaluate a query expression. This will retrieve a set of matching paper entities from the knowledge base.

Setting up an example project

To be able to test the Academic API, we want to create a new example project. Create this from the MVVM template created...