{"id":{"repo_id":"brazil-uerj","oai_identifier":"oai:pantheon.ufrj.br:11422/6465"},"canonical_url":"https://search.dev.ndltd.org/etd/brazil-uerj/oai:pantheon.ufrj.br:11422/6465","repository":{"repo_id":"brazil-uerj","name":"Brazil UERJ","base_url":"https://pantheon.ufrj.br/oai/request"},"display":{"title":"Crowdview: uma plataforma crowdsourcing para gerenciamento temporal de entidades","abstract":"The web generates a lot of data about the same real-world object over time. In addition to this volume, the variety with which these data are presented grows substantially. In many cases this data is described in unstructured forms such as videos, images and texts. Algorithms for extracting data from unstructured forms are not yet accurate. In this case, it is appropriate to use the crowd to solve these tasks. In this context, crowdsourcing emerges as a paradigm shift in which the crowd, through open calls, provides solutions to specific problems. It can perform tasks distributed in different stages such as data collection, treatment, processing and analysis. These crowdsourcing systems produce a lot of data in a short amount of time. These initiatives also reduce time, operational costs and improve decision making. Given this scenario, the proposal in this doctoral thesis is the development of a crowdsourcing approach to extract and manage temporal characteristics of a real world object from unstructured information. This approach was implemented in a computer system called CrowdView. The case study is applied to the temporal management of urban forms. The analysis of the changes in characteristics in a chronological context can support decision making on the curation of urban forms within management of urban space.Também disponível on-line.","abstract_html":"The web generates a lot of data about the same real-world object over time. In addition to this volume, the variety with which these data are presented grows substantially. In many cases this data is described in unstructured forms such as videos, images and texts. Algorithms for extracting data from unstructured forms are not yet accurate. In this case, it is appropriate to use the crowd to solve these tasks. In this context, crowdsourcing emerges as a paradigm shift in which the crowd, through open calls, provides solutions to specific problems. It can perform tasks distributed in different stages such as data collection, treatment, processing and analysis. These crowdsourcing systems produce a lot of data in a short amount of time. These initiatives also reduce time, operational costs and improve decision making. Given this scenario, the proposal in this doctoral thesis is the development of a crowdsourcing approach to extract and manage temporal characteristics of a real world object from unstructured information. This approach was implemented in a computer system called CrowdView. The case study is applied to the temporal management of urban forms. The analysis of the changes in characteristics in a chronological context can support decision making on the curation of urban forms within management of urban space.Também disponível on-line.","abstract_has_math":false,"creators":["Silva, Marcio Antelio Neves da"],"institution":"Universidade Federal do Rio de Janeiro","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Souza, Jano Moreira de"],"committee_chairs":[],"committee_members":[],"year":2017,"date_issued":"2017-09","date_published":"2017-09","updated_at":"2026-07-24T01:16:21Z","subjects":["Engenharia de Sistemas e Computação","Entidades temporais"],"languages":["por"],"rights":["Acesso Aberto"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/11422/6465","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Souza, Jano Moreira de"]},{"key":"dc:creator","label":"Author","values":["Silva, Marcio Antelio Neves da"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2019-02-11T17:50:44Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2026-05-16T03:04:11Z"]},{"key":"dc:date.issued","label":"Date","values":["2017-09"]},{"key":"dc:publisher","label":"Institution","values":["Universidade Federal do Rio de Janeiro"]},{"key":"dc:publisher.department","label":"Dc Publisher Department","values":["Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa de Engenharia"]},{"key":"dc:type","label":"Dc Type","values":["Tese"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Engenharia de Sistemas e Computação","Entidades temporais"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["por"]},{"key":"dc:rights","label":"Dc Rights","values":["Acesso Aberto"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/11422/6465"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["The web generates a lot of data about the same real-world object over time. In addition to this volume, the variety with which these data are presented grows substantially. In many cases this data is described in unstructured forms such as videos, images and texts. Algorithms for extracting data from unstructured forms are not yet accurate. In this case, it is appropriate to use the crowd to solve these tasks. In this context, crowdsourcing emerges as a paradigm shift in which the crowd, through open calls, provides solutions to specific problems. It can perform tasks distributed in different stages such as data collection, treatment, processing and analysis. These crowdsourcing systems produce a lot of data in a short amount of time. These initiatives also reduce time, operational costs and improve decision making. Given this scenario, the proposal in this doctoral thesis is the development of a crowdsourcing approach to extract and manage temporal characteristics of a real world object from unstructured information. This approach was implemented in a computer system called CrowdView. The case study is applied to the temporal management of urban forms. The analysis of the changes in characteristics in a chronological context can support decision making on the curation of urban forms within management of urban space.Também disponível on-line."]},{"key":"dc:title","label":"Title","values":["Crowdview: uma plataforma crowdsourcing para gerenciamento temporal de entidades"]}]}],"canonical_facts":{"dc:contributor.advisor":["Souza, Jano Moreira de"],"dc:creator":["Silva, Marcio Antelio Neves da"],"dc:date.accessioned":["2019-02-11T17:50:44Z"],"dc:date.available":["2026-05-16T03:04:11Z"],"dc:date.issued":["2017-09"],"dc:description.abstract":["The web generates a lot of data about the same real-world object over time. In addition to this volume, the variety with which these data are presented grows substantially. In many cases this data is described in unstructured forms such as videos, images and texts. Algorithms for extracting data from unstructured forms are not yet accurate. In this case, it is appropriate to use the crowd to solve these tasks. In this context, crowdsourcing emerges as a paradigm shift in which the crowd, through open calls, provides solutions to specific problems. It can perform tasks distributed in different stages such as data collection, treatment, processing and analysis. These crowdsourcing systems produce a lot of data in a short amount of time. These initiatives also reduce time, operational costs and improve decision making. Given this scenario, the proposal in this doctoral thesis is the development of a crowdsourcing approach to extract and manage temporal characteristics of a real world object from unstructured information. This approach was implemented in a computer system called CrowdView. The case study is applied to the temporal management of urban forms. The analysis of the changes in characteristics in a chronological context can support decision making on the curation of urban forms within management of urban space.Também disponível on-line."],"dc:identifier.uri":["http://hdl.handle.net/11422/6465"],"dc:language":["por"],"dc:publisher":["Universidade Federal do Rio de Janeiro"],"dc:publisher.department":["Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa de Engenharia"],"dc:rights":["Acesso Aberto"],"dc:subject":["Engenharia de Sistemas e Computação","Entidades temporais"],"dc:title":["Crowdview: uma plataforma crowdsourcing para gerenciamento temporal de entidades"],"dc:type":["Tese"]},"updated_at":"2026-07-24T01:16:21Z"}