A distributed archival network for process-oriented autonomic long-term digital preservation

Subotic, Ivan; Rosenthaler, L.; Schuldt, Heiko

doi:10.1145/2467696.2467710

Cited by 4 publications

(2 citation statements)

References 51 publications

(59 reference statements)

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“…Contributions usually target specific applications, such as curating metadata associated to digital records with the purpose of cataloging those for long-term storage [2,43]. A similar idea to that underpinning Aviator is used to allow the communityled curation of artworks in a digital gallery [18], however, the curation process has to do with the users' artistic preference rather than semantic content.…”

Section: Related Workmentioning

confidence: 99%

An architecture for the autonomic curation of crowdsourced knowledge

et al. 2017

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Human knowledge curators are intrinsically better than their digital counterparts at providing relevant answers to queries. That is mainly due to the fact that an experienced biological brain will account for relevant community expertise as well as exploit the underlying connections between knowledge pieces when offering suggestions pertinent to a specific question, whereas most automated database managers will not. We address this problem by proposing an architecture for the autonomic curation of crowdsourced knowledge, that is underpinned by semantic technologies. The architecture is instantiated in the career data domain, thus yielding Aviator, a collaborative platform capable of producing complete, intuitive and relevant answers to career related queries, in a time effective manner. In addition to pro- The Good Careers Guide, London, UK viding numeric and use case based evidence to support these research claims, this extended work also contains a detailed architectural analysis of Aviator to outline its suitability for automatically curating knowledge to a high standard of quality.

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Section: Related Workmentioning

confidence: 99%

An architecture for the autonomic curation of crowdsourced knowledge

et al. 2017

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“…SALSAH, which is currently organized technically as a centralized system, will be transformed into a distributed, self-organizing P2P system. At the same time, an archival system based on DISTARNET (DISTributed Archival NETwork, a self-organizing peer-to-peer network for archival storage of digital data; see Subotic et al, 2013) will be added to SALSAH for protection against data loss due to catastrophic events like hardware failure, flooding, and fires occurring at any SALSAH location. DISTARENT also uses P2P technology to maintain redundant multiple backups of the data within the network.…”

Section: Approachmentioning

confidence: 99%

DASCH: Data and Service Center for the Humanities

Rosenthaler

Fornaro

Clivaz

2015

Digital Scholarship Humanities

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Research data in the humanities needs to be sustainable, and access to digital resources must be possible over a long period. Only if these prerequisites are fulfilled can research data be used as a source for other projects. In addition, reliability is a fundamental requirement so that digital sources can be cited, reused, and quoted. To address this problem, we present our solution: the Data and Service Center for the Humanities located in Switzerland. The centralized infrastructure is based on flexible and extendable software that is in turn reliant on modern technologies. Such an approach allows for the straightforward migration of existing research project databases with limited life spans in the humanities. We will demonstrate the basic concepts behind this proposed solution and our first experiences in the application thereof.

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