University of Illinois Urbana-Champaign

EIUAS: an enterprise information update and alert system

Han, Jinda

Content Files
HAN-THESIS-2016.pdf

Permalink

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

Description

Title
EIUAS: an enterprise information update and alert system
Author(s)
Han, Jinda
Issue Date
2016-07-21
Director of Research (if dissertation) or Advisor (if thesis)
Zhai, ChengXiang
Department of Study
Computer Science
Discipline
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Date of Ingest
2016-11-10T17:49:14Z
Keyword(s)
  • System Design
  • Web Crawling
  • Database Design
  • Data Extraction
  • Data Integration
Abstract
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 The next step in the process involves comparing these with the existing system database to update out-of-date data.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.
Graduation Semester
2016-08
Type of Resource
text
Permalink
http://hdl.handle.net/2142/92673
Copyright and License Information
Copyright 2016 Jinda Han

Owning Collections

Graduate Dissertations and Theses at Illinois PRIMARY
Graduate Theses and Dissertations at Illinois