Task-Based Dependency Management for the Preservation of Digital Objects Using Rules

Yannis Tzitzikas, Yannis Marketakis, Grigoris Antoniou

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)


The preservation of digital objects is a topic of prominent importance for archives and digital libraries. This paper focuses on the problem of preserving the performability of tasks on digital objects. It formalizes the problem in terms of Horn Rules and details the required inference services. The proposed framework and methodology is more expressive and flexible than previous attempts as it allows expressing the various properties of dependencies (e.g. transitivity, symmetry) straightforwardly. Finally, the paper describes how the proposed approach can be implemented using various technologies.

Original languageEnglish
Title of host publicationArtificial Intelligence
Subtitle of host publicationTheories, Models and Applications: 6th Hellenic Conference on AI, SETN 2010, Proceedings
EditorsStasinos Konstantopoulos, Stavros Perantonis, Vangelis Karkaletsis, Costas D. Spyropoulos, George Vouros
PublisherSpringer-Verlag Berlin Heidelberg
Number of pages10
Volume6040 LNAI/LNCS
ISBN (Electronic)9783642128424
ISBN (Print)3642128416, 9783642128417
Publication statusPublished - 23 Apr 2010
Externally publishedYes
Event6th Hellenic Conference on Artificial Intelligence: Theories, Models and Applications - Athens, Greece
Duration: 4 May 20107 May 2010
Conference number: 6

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer-Verlag Berlin Heidelberg
Volume6040 LNAI/LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference6th Hellenic Conference on Artificial Intelligence
Abbreviated titleSETN 2010


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