Knowledge Discovery Framework for the Virtual Observatory

TL;DR

This paper presents a framework enabling scientists to seamlessly query and retrieve data from multiple Virtual Observatory repositories, simplifying data access and analysis by abstracting technical complexities.

Contribution

It introduces a unified framework that abstracts metadata and data formatting details, facilitating easier cross-repository data discovery and retrieval for scientists.

Findings

Enables unified querying across VO repositories

Simplifies data retrieval process for scientists

Abstracts technical details of metadata and formatting

Abstract

We describe a framework that allows a scientist-user to easily query for information across all Virtual Observatory (VO) repositories and pull it back for analysis. This framework hides the gory details of meta-data remediation and data formatting from the user, allowing them to get on with search, retrieval and analysis of VO data as if they were drawn from a single source using a science based terminology rather than a data-centric one.