ADS 2.0: new architecture, API and services

TL;DR

ADS 2.0 introduces a new architecture, API, and services, enabling improved access to its extensive astronomical literature database through RESTful web services for research and application development.

Contribution

The paper presents a comprehensive rewrite of ADS's architecture, focusing on the search layer and API, facilitating better data access and integration for researchers and partners.

Findings

New RESTful API built on the updated architecture

Enhanced access to 10 million records and fulltext articles

Support for advanced data extraction and machine learning applications

Abstract

The ADS platform is undergoing the biggest rewrite of its 20-year history. While several components have been added to its architecture over the past couple of years, this talk will concentrate on the underpinnings of ADS's search layer and its API. To illustrate the design of the components in the new system, we will show how the new ADS user interface is built exclusively on top of the API using RESTful web services. Taking one step further, we will discuss how we plan to expose the treasure trove of information hosted by ADS (10 million records and fulltext for much of the Astronomy and Physics refereed literature) to partners interested in using this API. This will provide you (and your intelligent applications) with access to ADS's underlying data to enable the extraction of new knowledge and the ingestion of these results back into the ADS. Using this framework, researchers could run controlled experiments with content extraction, machine learning, natural language processing, etc. In this talk, we will discuss what is already implemented, what will be available soon, and where we are going next.