Heliophysics Event Knowledgebase for the Solar Dynamics Observatory and Beyond
N. Hurlburt, M. Cheung, C. Schrijver, L. Chang, S. Freeland, S. Green,, C. Heck, A. Jaffey, A. Kobashi, D. Schiff, J.Serafin, R. Seguin, G. Slater,, A. Somani, R. Timmons

TL;DR
The paper introduces the Heliophysics Events Knowledgebase (HEK), a system that automates data mining, visualization, and access for SDO data to facilitate solar research.
Contribution
It presents a comprehensive system integrating automated feature detection, visualization, and web services for efficient data retrieval in heliophysics research.
Findings
Effective automated data mining for SDO data
Enhanced data accessibility through web services
Improved visualization tools for data analysis
Abstract
The immense volume of data generated by the suite of instruments on SDO requires new tools for efficient identifying and accessing data that is most relevant to research investigations. We have developed the Heliophysics Events Knowledgebase (HEK) to fill this need. The HEK system combines automated data mining using feature-detection methods and high-performance visualization systems for data markup. In addition, web services and clients are provided for searching the resulting metadata, reviewing results, and efficiently accessing the data. We review these components and present examples of their use with SDO data.
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