Multi-level information modeling and preservation of eGOV data

Richard Marciano, Bertram Ludascher, Ilya Zaslavsky, Reagan Moore, Keith Pezzoli

Research output: Chapter in Book/Report/Conference proceedingConference contribution


This paper addresses the issue of long-term preservation of and access to digital government information. We show how the preservation process is enhanced by storing an infrastructure-independent representation of the raw data, together with a model dependency graph (an executable graph of database view mappings). This allows for the design of decision-support tools and services for improving government transparency and promoting citizen access to eGOV data. A case-study, the Florida Ballots Project, is used to illustrate the approach.

Original languageEnglish (US)
Title of host publicationElectronic Government - 1st International Conference, EGOV 2002, Proceedings
EditorsRoland Traunmuller, Klaus Lenk
Number of pages8
ISBN (Print)9783540441212
StatePublished - 2002
Externally publishedYes
Event1st International Conference on Electronic Government, EGOV 2002 - Aix-en-Provence, France
Duration: Sep 2 2002Sep 6 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other1st International Conference on Electronic Government, EGOV 2002

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'Multi-level information modeling and preservation of eGOV data'. Together they form a unique fingerprint.

Cite this