Design and implementation of the instructor module and annotator module in COLDS

This thesis describes the design and implementation of the front end as well as some components of instructor module and annotator module in a novel Cloud-based Open Lab for Data Science (COLDS) system. COLDS is a general infrastructure system to support data science programming assignments on the cloud. The annotation subsystem of COLDS is responsible for collecting large amount of labeled data due to the fact that students with good grade are more likely to correctly label data. The function of the instructor module includes uploading data set, updating data set, distributing new assignments, and viewing annotation results. The function of annotator module includes annotating documents and playing with different algorithm based on large amount of data sets. The thesis mainly describes the background and the motivation of COLDS and the instructor and annotator modules of annotation subsystem, and the system architecture, the design idea behind the system as well as some implementations details. At the end, the thesis briefly discusses some potential applications of annotation subsystem.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Computer Science

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2018

Author dc:creator

• Li, Guoqiao

Contributors dc:contributor

• Zhai, ChengXiang

• Cloud-based Open Lab for Data Science (COLDS)
• Annotation subsystem

Statement dc:rights

• Copyright 2017 Guoqiao Li

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/99132

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/99132