EIUAS: an enterprise information update and alert system

Many companies today need a system to gather useful online information about products or customers, and then, such companies will improve their products or services consequent to this information and improve the functionality of the company. Thus, receiving a large amount and accurate information becomes the first important step in this process, which is followed by storing and retrieving such amounts of data. The next step in the process involves comparing these with the existing system database to update out-of-date data. Finally, future predictions and automatic information updates on available alert will be the last important step. Currently, there is a little research work on how to build such a system. In this thesis, I propose a novel Update and Alert System (EIUAS). This system contains many parts, including, among others, a web crawler, data extractor, data verifier, data integration, dynamic database design, data retrieval engine, updatable checker, predict module, and updatable alert. The system would enable a company to receive all of the useful information about products or customers, and that information will be downloaded from public Internet mediums – related forums, customer reviews, blogs, social networks, etc. To evaluate the usefulness of this system as a baseline, we perform a calculation on the updatable percentage. Additionally, qualitative assessment by a domain expert also confirmed the system as very useful and with updatable information.

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

2016

Author dc:creator

• Han, Jinda

Contributors dc:contributor

• Zhai, ChengXiang

• System Design
• Web Crawling
• Database Design
• Data Extraction
• Data Integration

Statement dc:rights

• Copyright 2016 Jinda Han

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/92673

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/92673