Academic Torrents

Cohen, Joseph; Lo, Henry Z.

doi:10.1145/2616498.2616528

Cited by 7 publications

References 2 publications

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Publishing Without Publishers: A Decentralized Approach to Dissemination, Retrieval, and Archiving of Data

Kuhn

Chichester

Krauthammer

et al. 2015

Lecture Notes in Computer Science

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Abstract. Making available and archiving scientific results is for the most part still considered the task of classical publishing companies, despite the fact that classical forms of publishing centered around printed narrative articles no longer seem well-suited in the digital age. In particular, there exist currently no efficient, reliable, and agreed-upon methods for publishing scientific datasets, which have become increasingly important for science. Here we propose to design scientific data publishing as a Web-based bottom-up process, without top-down control of central authorities such as publishing companies. Based on a novel combination of existing concepts and technologies, we present a server network to decentrally store and archive data in the form of nanopublications, an RDF-based format to represent scientific data. We show how this approach allows researchers to publish, retrieve, verify, and recombine datasets of nanopublications in a reliable and trustworthy manner, and we argue that this architecture could be used for the Semantic Web in general. Evaluation of the current small network shows that this system is efficient and reliable.

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Publishing Without Publishers: A Decentralized Approach to Dissemination, Retrieval, and Archiving of Data

Kuhn

Chichester

Krauthammer

et al. 2015

Lecture Notes in Computer Science

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Reliable Granular References to Changing Linked Data

Kuhn

Willighagen

Evelo

et al. 2017

Lecture Notes in Computer Science

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Abstract. Nanopublications are a concept to represent Linked Data in a granular and provenance-aware manner, which has been successfully applied to a number of scientific datasets. We demonstrated in previous work how we can establish reliable and verifiable identifiers for nanopublications and sets thereof. Further adoption of these techniques, however, was probably hindered by the fact that nanopublications can lead to an explosion in the number of triples due to auxiliary information about the structure of each nanopublication and repetitive provenance and metadata. We demonstrate here that this significant overhead disappears once we take the version history of nanopublication datasets into account, calculate incremental updates, and allow users to deal with the specific subsets they need. We show that the total size and overhead of evolving scientific datasets is reduced, and typical subsets that researchers use for their analyses can be referenced and retrieved efficiently with optimized precision, persistence, and reliability.

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Linkflows: Enabling a Web of Linked Semantic Publishing Workflows

Bucur

2018

Lecture Notes in Computer Science

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Academic Torrents

Cited by 7 publications

References 2 publications

Publishing Without Publishers: A Decentralized Approach to Dissemination, Retrieval, and Archiving of Data

Publishing Without Publishers: A Decentralized Approach to Dissemination, Retrieval, and Archiving of Data

Reliable Granular References to Changing Linked Data

Linkflows: Enabling a Web of Linked Semantic Publishing Workflows

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