{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/98281"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/98281","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Automated profile builder: one stop portal for creating and sharing your personal profiles","abstract":"The explosive growth in digital presence have changed the way people form and stay connected to their professional networks, leading to the rise in multiple online profile management tools each catering to custom profile generation needs. With digital presence being split across multiple online tools, the challenge to maintain, update and customize details of all online profiles has been a challenge, perhaps more so in the academic researcher and professional community where a long list of publication and multiple pages of online profile is the norm. Today a typical researcher can have profiles that range from 1-2 pages like the typical industry standard to several pages as per typical academic standards where publications, patents, talks, workshops, etc are all part of a researchers profile. Maintaining this profile online across various independently run profile management system has created the problem of tedious multiple locations of data managements. As no existing profile management system leverages data from other systems it has been difficult for researchers to maintain and update online profiles. In addition, most of the profile management system have a fixed schema while creating online profile so the user does not have the flexibility to create a customized profile. In this thesis, we propose an Automated Profile Builder(AutoPB) which acts as a one stop portal for all the online profile management system. AutoPB aims to solve the issues surrounding current distributed and scattered profile management systems by its three main features: a) schema sharing, b) centralized multi format data in/out portal and c) client-side data retrieval system. First concept is known as schema sharing, which is a unique feature that no other profile management system has. This feature lets user to learn and share schema that are used while building an online profile. Secondly, the system provides flexible Import and Export feature. The user can import data from external sources as well as export the profile in different formats. Lastly, the profile builder performs client-side searching, crawling and parsing to minimize the server work load. Using our profile builder users can import data from their existing online profile and would not need to manually type their information which is easily available in the internet. In this thesis, we demonstrate that AutoPB with these features can act as a one stop portal especially for researchers to more easily manage their online profile by centralized data management paired with distribution of multiple custom profiles.","abstract_html":"The explosive growth in digital presence have changed the way people form and stay connected to their professional networks, leading to the rise in multiple online profile management tools each catering to custom profile generation needs. With digital presence being split across multiple online tools, the challenge to maintain, update and customize details of all online profiles has been a challenge, perhaps more so in the academic researcher and professional community where a long list of publication and multiple pages of online profile is the norm. Today a typical researcher can have profiles that range from 1-2 pages like the typical industry standard to several pages as per typical academic standards where publications, patents, talks, workshops, etc are all part of a researchers profile. Maintaining this profile online across various independently run profile management system has created the problem of tedious multiple locations of data managements. As no existing profile management system leverages data from other systems it has been difficult for researchers to maintain and update online profiles. In addition, most of the profile management system have a fixed schema while creating online profile so the user does not have the flexibility to create a customized profile. In this thesis, we propose an Automated Profile Builder(AutoPB) which acts as a one stop portal for all the online profile management system. AutoPB aims to solve the issues surrounding current distributed and scattered profile management systems by its three main features: a) schema sharing, b) centralized multi format data in/out portal and c) client-side data retrieval system. First concept is known as schema sharing, which is a unique feature that no other profile management system has. This feature lets user to learn and share schema that are used while building an online profile. Secondly, the system provides flexible Import and Export feature. The user can import data from external sources as well as export the profile in different formats. Lastly, the profile builder performs client-side searching, crawling and parsing to minimize the server work load. Using our profile builder users can import data from their existing online profile and would not need to manually type their information which is easily available in the internet. In this thesis, we demonstrate that AutoPB with these features can act as a one stop portal especially for researchers to more easily manage their online profile by centralized data management paired with distribution of multiple custom profiles.","abstract_has_math":false,"creators":["Adhikari, Aditi"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Computer Science","degree_department":null,"school":null,"contributors":["Chang, Kevin Chen-Chuan"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2017,"date_issued":"2017-09-29T16:39:46Z","date_published":"2017-09-29T16:39:46Z","updated_at":"2026-07-22T22:24:35Z","subjects":["Automated profile builder","Client-side data retrieval","Profile management system"],"languages":["en"],"rights":["Copyright 2017 Aditi Adhikari"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/98281","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Chang, Kevin Chen-Chuan"]},{"key":"dc:creator","label":"Author","values":["Adhikari, Aditi"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2017-09-29T16:39:46Z","2019-09-30T09:15:20Z","2017-07-12","2017-08"]},{"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":["Automated profile builder","Client-side data retrieval","Profile management system"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2017 Aditi Adhikari"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/98281"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["The explosive growth in digital presence have changed the way people form and stay connected to their professional networks, leading to the rise in multiple online profile management tools each catering to custom profile generation needs. With digital presence being split across multiple online tools, the challenge to maintain, update and customize details of all online profiles has been a challenge, perhaps more so in the academic researcher and professional community where a long list of publication and multiple pages of online profile is the norm. Today a typical researcher can have profiles that range from 1-2 pages like the typical industry standard to several pages as per typical academic standards where publications, patents, talks, workshops, etc are all part of a researchers profile. Maintaining this profile online across various independently run profile management system has created the problem of tedious multiple locations of data managements. As no existing profile management system leverages data from other systems it has been difficult for researchers to maintain and update online profiles. In addition, most of the profile management system have a fixed schema while creating online profile so the user does not have the flexibility to create a customized profile. In this thesis, we propose an Automated Profile Builder(AutoPB) which acts as a one stop portal for all the online profile management system. AutoPB aims to solve the issues surrounding current distributed and scattered profile management systems by its three main features: a) schema sharing, b) centralized multi format data in/out portal and c) client-side data retrieval system. First concept is known as schema sharing, which is a unique feature that no other profile management system has. This feature lets user to learn and share schema that are used while building an online profile. Secondly, the system provides flexible Import and Export feature. The user can import data from external sources as well as export the profile in different formats. Lastly, the profile builder performs client-side searching, crawling and parsing to minimize the server work load. Using our profile builder users can import data from their existing online profile and would not need to manually type their information which is easily available in the internet. In this thesis, we demonstrate that AutoPB with these features can act as a one stop portal especially for researchers to more easily manage their online profile by centralized data management paired with distribution of multiple custom profiles.","Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2019-08-01","The student, Aditi Adhikari, accepted the attached license on 2017-07-12 at 00:56.","The student, Aditi Adhikari, submitted this Thesis for approval on 2017-07-12 at 01:22.","This Thesis was approved for publication on 2017-07-12 at 16:45.","DSpace SAF Submission Ingestion Package generated from Vireo submission #11418 on 2017-09-29 at 11:19:05","Made available in DSpace on 2017-09-29T16:39:46Z (GMT). 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With digital presence being split across multiple online tools, the challenge to maintain, update and customize details of all online profiles has been a challenge, perhaps more so in the academic researcher and professional community where a long list of publication and multiple pages of online profile is the norm. Today a typical researcher can have profiles that range from 1-2 pages like the typical industry standard to several pages as per typical academic standards where publications, patents, talks, workshops, etc are all part of a researchers profile. Maintaining this profile online across various independently run profile management system has created the problem of tedious multiple locations of data managements. As no existing profile management system leverages data from other systems it has been difficult for researchers to maintain and update online profiles. In addition, most of the profile management system have a fixed schema while creating online profile so the user does not have the flexibility to create a customized profile. In this thesis, we propose an Automated Profile Builder(AutoPB) which acts as a one stop portal for all the online profile management system. AutoPB aims to solve the issues surrounding current distributed and scattered profile management systems by its three main features: a) schema sharing, b) centralized multi format data in/out portal and c) client-side data retrieval system. First concept is known as schema sharing, which is a unique feature that no other profile management system has. This feature lets user to learn and share schema that are used while building an online profile. Secondly, the system provides flexible Import and Export feature. The user can import data from external sources as well as export the profile in different formats. Lastly, the profile builder performs client-side searching, crawling and parsing to minimize the server work load. Using our profile builder users can import data from their existing online profile and would not need to manually type their information which is easily available in the internet. In this thesis, we demonstrate that AutoPB with these features can act as a one stop portal especially for researchers to more easily manage their online profile by centralized data management paired with distribution of multiple custom profiles.","Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2019-08-01","The student, Aditi Adhikari, accepted the attached license on 2017-07-12 at 00:56.","The student, Aditi Adhikari, submitted this Thesis for approval on 2017-07-12 at 01:22.","This Thesis was approved for publication on 2017-07-12 at 16:45.","DSpace SAF Submission Ingestion Package generated from Vireo submission #11418 on 2017-09-29 at 11:19:05","Made available in DSpace on 2017-09-29T16:39:46Z (GMT). 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