{"id":{"repo_id":"wku-diss","oai_identifier":"oai:digitalcommons.wku.edu:theses-2164"},"canonical_url":"https://search.dev.ndltd.org/etd/wku-diss/oai:digitalcommons.wku.edu:theses-2164","repository":{"repo_id":"wku-diss","name":"Western Kentucky University","base_url":"https://digitalcommons.wku.edu/do/oai/"},"display":{"title":"Organizational Search in Email Systems","abstract":"<p>The storage space for emails has been increasing at a rapid pace day by day. Email systems still serve as very important data repositories for many users to store different kinds of information which they use in their daily activities. Due to the rapidly increasing volume of email data, there is a need to maintain the data in a most efficient way. It is also very important to provide intuitive and flexible search utilities to provide better access to the information in the email repositories, especially in an enterprise or organizational setting. In order to implement the functionality, we are presenting a tool name TESO. TESO is a tool for email searching using organizational information. This tool is designed to improve the relevancy of the email search by integrating the data from email servers and organizational information from directory services and other resources. We implement this functionality as an add-on for the Mozilla Thunderbird framework, which is an open source email client system developed by the Mozilla Foundation. The results are evaluated using the SQLite and the XML data. This work will serve as a handy tool in the area of existing information integration and keyword search on relational databases techniques and also helps in efficient access of XML information.</p>","abstract_html":"&lt;p&gt;The storage space for emails has been increasing at a rapid pace day by day. Email systems still serve as very important data repositories for many users to store different kinds of information which they use in their daily activities. Due to the rapidly increasing volume of email data, there is a need to maintain the data in a most efficient way. It is also very important to provide intuitive and flexible search utilities to provide better access to the information in the email repositories, especially in an enterprise or organizational setting. In order to implement the functionality, we are presenting a tool name TESO. TESO is a tool for email searching using organizational information. This tool is designed to improve the relevancy of the email search by integrating the data from email servers and organizational information from directory services and other resources. We implement this functionality as an add-on for the Mozilla Thunderbird framework, which is an open source email client system developed by the Mozilla Foundation. The results are evaluated using the SQLite and the XML data. This work will serve as a handy tool in the area of existing information integration and keyword search on relational databases techniques and also helps in efficient access of XML information.&lt;/p&gt;","abstract_has_math":false,"creators":["Pitla, Sruthi Bhushan"],"institution":null,"degree_name":"Master of Science","degree_level":null,"degree_discipline":"Department of Mathematics and Computer Science","degree_department":null,"school":null,"contributors":["Dr. Guangming Xing, Director, Dr. Qi Li, Dr. Huanjing Wang"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2012,"date_issued":"2012-05-01T07:00:00Z","date_published":"2012-05-01T07:00:00Z","updated_at":"2026-07-24T06:08:16Z","subjects":["Mozilla Thunderbird","Email Add-on","Email storage","TESO","Computer Sciences","Databases and Information Systems"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://digitalcommons.wku.edu/theses/1161","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Dr. Guangming Xing, Director, Dr. Qi Li, Dr. Huanjing Wang"]},{"key":"dc:creator","label":"Author","values":["Pitla, Sruthi Bhushan"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Department of Mathematics and Computer Science"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Mozilla Thunderbird","Email Add-on","Email storage","TESO","Computer Sciences","Databases and Information Systems"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://digitalcommons.wku.edu/theses/1161"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["<p>The storage space for emails has been increasing at a rapid pace day by day. Email systems still serve as very important data repositories for many users to store different kinds of information which they use in their daily activities. Due to the rapidly increasing volume of email data, there is a need to maintain the data in a most efficient way. It is also very important to provide intuitive and flexible search utilities to provide better access to the information in the email repositories, especially in an enterprise or organizational setting. In order to implement the functionality, we are presenting a tool name TESO. TESO is a tool for email searching using organizational information. This tool is designed to improve the relevancy of the email search by integrating the data from email servers and organizational information from directory services and other resources. We implement this functionality as an add-on for the Mozilla Thunderbird framework, which is an open source email client system developed by the Mozilla Foundation. The results are evaluated using the SQLite and the XML data. This work will serve as a handy tool in the area of existing information integration and keyword search on relational databases techniques and also helps in efficient access of XML information.</p>"]},{"key":"dc:title","label":"Title","values":["Organizational Search in Email Systems"]}]}],"canonical_facts":{"dc:contributor":["Dr. Guangming Xing, Director, Dr. Qi Li, Dr. Huanjing Wang"],"dc:creator":["Pitla, Sruthi Bhushan"],"dc:description.abstract":["<p>The storage space for emails has been increasing at a rapid pace day by day. Email systems still serve as very important data repositories for many users to store different kinds of information which they use in their daily activities. Due to the rapidly increasing volume of email data, there is a need to maintain the data in a most efficient way. It is also very important to provide intuitive and flexible search utilities to provide better access to the information in the email repositories, especially in an enterprise or organizational setting. In order to implement the functionality, we are presenting a tool name TESO. TESO is a tool for email searching using organizational information. This tool is designed to improve the relevancy of the email search by integrating the data from email servers and organizational information from directory services and other resources. We implement this functionality as an add-on for the Mozilla Thunderbird framework, which is an open source email client system developed by the Mozilla Foundation. The results are evaluated using the SQLite and the XML data. This work will serve as a handy tool in the area of existing information integration and keyword search on relational databases techniques and also helps in efficient access of XML information.</p>"],"dc:identifier":["https://digitalcommons.wku.edu/theses/1161"],"dc:subject":["Mozilla Thunderbird","Email Add-on","Email storage","TESO","Computer Sciences","Databases and Information Systems"],"dc:title":["Organizational Search in Email Systems"],"dc:type":["Thesis"],"thesis:degree_discipline":["Department of Mathematics and Computer Science"],"thesis:degree_name":["Master of Science"]},"updated_at":"2026-07-24T06:08:16Z"}