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Semistructured data

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Peter BunemanAuthors Info & Claims

PODS '97: Proceedings of the sixteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems

Pages 117 - 121

https://doi.org/10.1145/263661.263675

Published: 01 May 1997 Publication History

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Index Terms

Semistructured data
1. Information systems
  1. Data management systems
    1. Database design and models
      1. Data model extensions
    2. Query languages
2. Theory of computation
  1. Theory and algorithms for application domains
    1. Database theory
      1. Database query languages (principles)

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Published In

PODS '97: Proceedings of the sixteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems

May 1997

272 pages

ISBN:0897919106

DOI:10.1145/263661

Chairmen:
Alberto Mendelzon
Univ. of Toronto, Toronto, Ont., Canada
,
Z. Meral Özsoyoglu
Case Western Reserve Univ., Cleveland, OH

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 May 1997

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SIGMOD/PODS97

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SIGMOD

SIGMOD/PODS97: Joint ACM SIGMOD International Conference on Management of Data and ACM Symposium on Principles of Database Systems

May 11 - 15, 1997

Arizona, Tucson, USA

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PODS '97 Paper Acceptance Rate 23 of 118 submissions, 19%;

Overall Acceptance Rate 642 of 2,707 submissions, 24%

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https://doi.org/10.1109/ICDE60146.2024.00395
Ronqui ROliveira TDa Silva ABrandão CDa Silva RHelouani WLara TFrancisco E(2023)COVID-19 EMERGENCY AID: HOW THE BRAZILIAN GOVERNMENT USED SOCIAL BIG DATA ANALYTICS TO GIVE ECONOMIC SUPPORT AND PROTECT VULNERABLE CITIZENSRevista Contemporânea10.56083/RCV3N8-1433:8(12537-12560)Online publication date: 23-Aug-2023
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