1 resultado para administrative database
em Massachusetts Institute of Technology
Filtro por publicador
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (5)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (8)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (15)
- Applied Math and Science Education Repository - Washington - USA (7)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (1)
- Archive of European Integration (24)
- Aston University Research Archive (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (7)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (11)
- Biblioteca Virtual del Sistema Sanitario Público de Andalucía (BV-SSPA), Junta de Andalucía. Consejería de Salud y Bienestar Social, Spain (2)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (100)
- Brock University, Canada (6)
- Bucknell University Digital Commons - Pensilvania - USA (2)
- CentAUR: Central Archive University of Reading - UK (42)
- Central European University - Research Support Scheme (1)
- Cochin University of Science & Technology (CUSAT), India (4)
- Collection Of Biostatistics Research Archive (1)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (41)
- Consorci de Serveis Universitaris de Catalunya (CSUC), Spain (23)
- CUNY Academic Works (1)
- Dalarna University College Electronic Archive (5)
- Department of Computer Science E-Repository - King's College London, Strand, London (3)
- Digital Peer Publishing (3)
- DigitalCommons@The Texas Medical Center (7)
- DigitalCommons@University of Nebraska - Lincoln (1)
- Digitale Sammlungen - Goethe-Universität Frankfurt am Main (2)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (18)
- DRUM (Digital Repository at the University of Maryland) (1)
- Gallica, Bibliotheque Numerique - Bibliothèque nationale de France (French National Library) (BnF), France (137)
- Glasgow Theses Service (1)
- Institute of Public Health in Ireland, Ireland (11)
- Instituto Politécnico do Porto, Portugal (6)
- Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States (96)
- Massachusetts Institute of Technology (1)
- Publishing Network for Geoscientific & Environmental Data (98)
- QSpace: Queen's University - Canada (1)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (2)
- Repositório da Produção Científica e Intelectual da Unicamp (2)
- Repositório da Universidade Federal do Espírito Santo (UFES), Brazil (1)
- Repositório de Administração Pública (REPAP) - Direção-Geral da Qualificação dos Trabalhadores em Funções Públicas (INA), Portugal (3)
- Repositório digital da Fundação Getúlio Vargas - FGV (3)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (39)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (18)
- School of Medicine, Washington University, United States (2)
- Scielo Saúde Pública - SP (10)
- Universidad del Rosario, Colombia (9)
- Universidade do Minho (2)
- Universidade Federal do Pará (2)
- Universidade Federal do Rio Grande do Norte (UFRN) (1)
- Universidade Técnica de Lisboa (1)
- Universitat de Girona, Spain (3)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (2)
- Université de Lausanne, Switzerland (78)
- Université de Montréal, Canada (20)
- University of Connecticut - USA (3)
- University of Michigan (1)
- University of Queensland eSpace - Australia (18)
- University of Southampton, United Kingdom (11)
Resumo:
In this paper, we present a P2P-based database sharing system that provides information sharing capabilities through keyword-based search techniques. Our system requires neither a global schema nor schema mappings between different databases, and our keyword-based search algorithms are robust in the presence of frequent changes in the content and membership of peers. To facilitate data integration, we introduce keyword join operator to combine partial answers containing different keywords into complete answers. We also present an efficient algorithm that optimize the keyword join operations for partial answer integration. Our experimental study on both real and synthetic datasets demonstrates the effectiveness of our algorithms, and the efficiency of the proposed query processing strategies.