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

Yannis Tzitzikas; Yannis Marketakis; Grigoris Antoniou

doi:10.1007/978-3-642-12842-4_30

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 proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

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 language	English
Title of host publication	Artificial Intelligence
Subtitle of host publication	Theories, Models and Applications: 6th Hellenic Conference on AI, SETN 2010, Proceedings
Editors	Stasinos Konstantopoulos, Stavros Perantonis, Vangelis Karkaletsis, Costas D. Spyropoulos, George Vouros
Publisher	Springer-Verlag Berlin Heidelberg
Pages	265-274
Number of pages	10
Volume	6040 LNAI/LNCS
ISBN (Electronic)	9783642128424
ISBN (Print)	3642128416, 9783642128417
DOIs	https://doi.org/10.1007/978-3-642-12842-4_30
Publication status	Published - 23 Apr 2010
Externally published	Yes
Event	6th Hellenic Conference on Artificial Intelligence: Theories, Models and Applications - Athens, Greece Duration: 4 May 2010 → 7 May 2010 Conference number: 6

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publisher	Springer-Verlag Berlin Heidelberg
Volume	6040 LNAI/LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	6th Hellenic Conference on Artificial Intelligence
Abbreviated title	SETN 2010
Country/Territory	Greece
City	Athens
Period	4/05/10 → 7/05/10

Access to Document

10.1007/978-3-642-12842-4_30Licence: Unspecified

Cite this

Tzitzikas, Y., Marketakis, Y., & Antoniou, G. (2010). Task-Based Dependency Management for the Preservation of Digital Objects Using Rules. In S. Konstantopoulos, S. Perantonis, V. Karkaletsis, C. D. Spyropoulos, & G. Vouros (Eds.), Artificial Intelligence: Theories, Models and Applications: 6th Hellenic Conference on AI, SETN 2010, Proceedings (Vol. 6040 LNAI/LNCS, pp. 265-274). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6040 LNAI/LNCS). Springer-Verlag Berlin Heidelberg. https://doi.org/10.1007/978-3-642-12842-4_30

Tzitzikas, Yannis ; Marketakis, Yannis ; Antoniou, Grigoris. / Task-Based Dependency Management for the Preservation of Digital Objects Using Rules. Artificial Intelligence: Theories, Models and Applications: 6th Hellenic Conference on AI, SETN 2010, Proceedings. editor / Stasinos Konstantopoulos ; Stavros Perantonis ; Vangelis Karkaletsis ; Costas D. Spyropoulos ; George Vouros. Vol. 6040 LNAI/LNCS Springer-Verlag Berlin Heidelberg, 2010. pp. 265-274 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Task-Based Dependency Management for the Preservation of Digital Objects Using Rules",

abstract = "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.",

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Tzitzikas, Y, Marketakis, Y & Antoniou, G 2010, Task-Based Dependency Management for the Preservation of Digital Objects Using Rules. in S Konstantopoulos, S Perantonis, V Karkaletsis, CD Spyropoulos & G Vouros (eds), Artificial Intelligence: Theories, Models and Applications: 6th Hellenic Conference on AI, SETN 2010, Proceedings. vol. 6040 LNAI/LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6040 LNAI/LNCS, Springer-Verlag Berlin Heidelberg, pp. 265-274, 6th Hellenic Conference on Artificial Intelligence, Athens, Greece, 4/05/10. https://doi.org/10.1007/978-3-642-12842-4_30

Task-Based Dependency Management for the Preservation of Digital Objects Using Rules. / Tzitzikas, Yannis; Marketakis, Yannis; Antoniou, Grigoris.

Artificial Intelligence: Theories, Models and Applications: 6th Hellenic Conference on AI, SETN 2010, Proceedings. ed. / Stasinos Konstantopoulos; Stavros Perantonis; Vangelis Karkaletsis; Costas D. Spyropoulos; George Vouros. Vol. 6040 LNAI/LNCS Springer-Verlag Berlin Heidelberg, 2010. p. 265-274 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6040 LNAI/LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Tzitzikas Y, Marketakis Y, Antoniou G. Task-Based Dependency Management for the Preservation of Digital Objects Using Rules. In Konstantopoulos S, Perantonis S, Karkaletsis V, Spyropoulos CD, Vouros G, editors, Artificial Intelligence: Theories, Models and Applications: 6th Hellenic Conference on AI, SETN 2010, Proceedings. Vol. 6040 LNAI/LNCS. Springer-Verlag Berlin Heidelberg. 2010. p. 265-274. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-12842-4_30

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

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