{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/92673"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/92673","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"EIUAS: an enterprise information update and alert system","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 The next step in the process involves comparing these with the existing system database to update out-of-date data.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.","abstract_html":"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 The next step in the process involves comparing these with the existing system database to update out-of-date data.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.","abstract_has_math":false,"creators":["Han, Jinda"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Computer Science","degree_department":null,"school":null,"contributors":["Zhai, ChengXiang"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2016,"date_issued":"2016-11-10T17:49:14Z","date_published":"2016-11-10T17:49:14Z","updated_at":"2026-07-22T22:26:35Z","subjects":["System Design","Web Crawling","Database Design","Data Extraction","Data Integration"],"languages":["en"],"rights":["Copyright 2016 Jinda Han"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/92673","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Zhai, ChengXiang"]},{"key":"dc:creator","label":"Author","values":["Han, Jinda"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2016-11-10T17:49:14Z","2016-07-21","2016-08"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Computer Science"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["System Design","Web Crawling","Database Design","Data Extraction","Data Integration"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2016 Jinda Han"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/92673"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["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.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2016-11-09 without embargo terms","The student, Jinda Han, accepted the attached license on 2016-07-21 at 10:30.","The student, Jinda Han, submitted this Thesis for approval on 2016-07-21 at 10:45.","This Thesis was approved for publication on 2016-07-21 at 16:24.","DSpace SAF Submission Ingestion Package generated from Vireo submission #10053 on 2016-11-09 at 10:26:01","Made available in DSpace on 2016-11-10T17:49:14Z (GMT). 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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.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2016-11-09 without embargo terms","The student, Jinda Han, accepted the attached license on 2016-07-21 at 10:30.","The student, Jinda Han, submitted this Thesis for approval on 2016-07-21 at 10:45.","This Thesis was approved for publication on 2016-07-21 at 16:24.","DSpace SAF Submission Ingestion Package generated from Vireo submission #10053 on 2016-11-09 at 10:26:01","Made available in DSpace on 2016-11-10T17:49:14Z (GMT). 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