article

Data model and query evaluation in global information systems

Authors:

Alon Y. Levy,

Divesh Srivastava,

Thomas KirkAuthors Info & Claims

Journal of Intelligent Information Systems, Volume 5, Issue 2

Pages 121 - 143

https://doi.org/10.1007/BF00962627

Published: 01 September 1995 Publication History

Abstract

No abstract available.

Cited By

View all

Chapman ASimperl EKoesten LKonstantinidis GIbáñez LKacprzak EGroth P(2019)Dataset search: a surveyThe VLDB Journal — The International Journal on Very Large Data Bases10.1007/s00778-019-00564-x29:1(251-272)Online publication date: 24-Aug-2019
https://dl.acm.org/doi/10.1007/s00778-019-00564-x
De Capitani di Vimercati SForesti SJajodia SLivraga GParaboschi SSamarati P(2017)An authorization model for multi provider queriesProceedings of the VLDB Endowment10.14778/3157794.315779611:3(256-268)Online publication date: 1-Nov-2017
https://dl.acm.org/doi/10.14778/3157794.3157796
Regueiro MViqueira JTaboada JCotos J(2015)Virtual integration of sensor observation dataComputers & Geosciences10.1016/j.cageo.2015.04.00681:C(12-19)Online publication date: 1-Aug-2015
https://dl.acm.org/doi/10.1016/j.cageo.2015.04.006
Show More Cited By

Index Terms

Data model and query evaluation in global information systems
1. Information systems
  1. Data management systems
2. Theory of computation
  1. Theory and algorithms for application domains
    1. Database theory
      1. Database query processing and optimization (theory)

Recommendations

Combining Joint and Semi-Join Operations for Distributed Query Processing

The application of a combination of join and semi-join operations to minimize the amount of data transmission required for distributed query processing is discussed. Specifically, two important concepts that occur with the use of join operations as ...
Generating query plans for distributed query processing using genetic algorithm
ICICA'11: Proceedings of the Second international conference on Information Computing and Applications

Query Processing is a key determinant in the overall performance of distributed databases. It requires processing of data at their respective sites and transmission of the same between them. These together constitute a distributed query processing ...
Distributed Query Plan Generation using Cuckoo Search Algorithm

Query processing in distributed databases involves data transmission amongst sites capable of providing answers to a distributed query. For this, a distributed query processing strategy, which generates efficient query processing plans for a given ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

Journal of Intelligent Information Systems Volume 5, Issue 2

Special issue: networked information discovery and retrieval

Sept. 1995

90 pages

ISSN:0925-9902

Editors:
Marianne Winslett
Univ. of Illinois, Urbana
,
Larry Kerschberg
George Mason Univ., Fairfax, VA
,
Zbigniew W. Ras
Univ. of North Carolina, Charlotte
,
Maria Zemankova

Issue’s Table of Contents

Publisher

Kluwer Academic Publishers

United States

Publication History

Published: 01 September 1995

Author Tags

Qualifiers

Article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

77
Total Citations
View Citations
0
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 25 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Chapman ASimperl EKoesten LKonstantinidis GIbáñez LKacprzak EGroth P(2019)Dataset search: a surveyThe VLDB Journal — The International Journal on Very Large Data Bases10.1007/s00778-019-00564-x29:1(251-272)Online publication date: 24-Aug-2019
https://dl.acm.org/doi/10.1007/s00778-019-00564-x
De Capitani di Vimercati SForesti SJajodia SLivraga GParaboschi SSamarati P(2017)An authorization model for multi provider queriesProceedings of the VLDB Endowment10.14778/3157794.315779611:3(256-268)Online publication date: 1-Nov-2017
https://dl.acm.org/doi/10.14778/3157794.3157796
Regueiro MViqueira JTaboada JCotos J(2015)Virtual integration of sensor observation dataComputers & Geosciences10.1016/j.cageo.2015.04.00681:C(12-19)Online publication date: 1-Aug-2015
https://dl.acm.org/doi/10.1016/j.cageo.2015.04.006
Calvanese DDe Giacomo GLenzerini MVardi M(2012)Query processing under GLAV mappings for relational and graph databasesProceedings of the VLDB Endowment10.14778/2535568.24489406:2(61-72)Online publication date: 1-Dec-2012
https://dl.acm.org/doi/10.14778/2535568.2448940
Hu XSong IAn Y(2010)Maintaining Mappings between Conceptual Models and Relational SchemasJournal of Database Management10.4018/jdm.201007010221:3(36-68)Online publication date: 1-Jul-2010
https://dl.acm.org/doi/10.4018/jdm.2010070102
Calvanese DGiacomo GLembo DLenzerini MRosati R(2009)Conceptual Modeling for Data IntegrationConceptual Modeling: Foundations and Applications10.1007/978-3-642-02463-4_11(173-197)Online publication date: 4-Jul-2009
https://dl.acm.org/doi/10.1007/978-3-642-02463-4_11
Calvanese DGiacomo GLenzerini M(2008)Conjunctive query containment and answering under description logic constraintsACM Transactions on Computational Logic10.1145/1352582.13525909:3(1-31)Online publication date: 12-Jun-2008
https://dl.acm.org/doi/10.1145/1352582.1352590
Tawil AMontebello MBahsoon RGray WFiddian N(2008)Interschema correspondence establishment in a cooperative OWL-based multi-information server grid environmentInformation Sciences: an International Journal10.1016/j.ins.2007.09.010178:4(1011-1031)Online publication date: 20-Feb-2008
https://dl.acm.org/doi/10.1016/j.ins.2007.09.010
Kazakov YMotik B(2008)A Resolution-Based Decision Procedure for $\boldsymbol{\mathcal{SHOIQ}}$Journal of Automated Reasoning10.1007/s10817-007-9090-140:2-3(89-116)Online publication date: 1-Mar-2008
https://dl.acm.org/doi/10.1007/s10817-007-9090-1
Calvanese DGiacomo GLembo DLenzerini MPoggi ARosati RRuzzi M(2008)Data Integration through ${\textit{DL-Lite}_{\mathcal A}}$ OntologiesSemantics in Data and Knowledge Bases10.1007/978-3-540-88594-8_2(26-47)Online publication date: 21-Oct-2008
https://dl.acm.org/doi/10.1007/978-3-540-88594-8_2
Show More Cited By

View Options

View options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Abstract

Cited By

Index Terms

Recommendations

Combining Joint and Semi-Join Operations for Distributed Query Processing

Generating query plans for distributed query processing using genetic algorithm

Distributed Query Plan Generation using Cuckoo Search Algorithm

Comments

Information

Published In

Publisher

Publication History

Author Tags

Qualifiers

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

View options

Login options

Full Access

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations