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Search, access, and explore life science nanopublications on the Web
Nanopublications are Resource Description Framework (RDF) graphs encoding scientific facts extracted from the literature and enriched with provenance and attribution information. There are millions of nanopublications currently available on the Web, especially in the life science domain. Nanopublica...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7959622/ https://www.ncbi.nlm.nih.gov/pubmed/33816986 http://dx.doi.org/10.7717/peerj-cs.335 |
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author | Giachelle, Fabio Dosso, Dennis Silvello, Gianmaria |
author_facet | Giachelle, Fabio Dosso, Dennis Silvello, Gianmaria |
author_sort | Giachelle, Fabio |
collection | PubMed |
description | Nanopublications are Resource Description Framework (RDF) graphs encoding scientific facts extracted from the literature and enriched with provenance and attribution information. There are millions of nanopublications currently available on the Web, especially in the life science domain. Nanopublications are thought to facilitate the discovery, exploration, and re-use of scientific facts. Nevertheless, they are still not widely used by scientists outside specific circles; they are hard to find and rarely cited. We believe this is due to the lack of services to seek, find and understand nanopublications’ content. To this end, we present the NanoWeb application to seamlessly search, access, explore, and re-use the nanopublications publicly available on the Web. For the time being, NanoWeb focuses on the life science domain where the vastest amount of nanopublications are available. It is a unified access point to the world of nanopublications enabling search over graph data, direct connections to evidence papers, and scientific curated databases, and visual and intuitive exploration of the relation network created by the encoded scientific facts. |
format | Online Article Text |
id | pubmed-7959622 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-79596222021-04-02 Search, access, and explore life science nanopublications on the Web Giachelle, Fabio Dosso, Dennis Silvello, Gianmaria PeerJ Comput Sci Data Science Nanopublications are Resource Description Framework (RDF) graphs encoding scientific facts extracted from the literature and enriched with provenance and attribution information. There are millions of nanopublications currently available on the Web, especially in the life science domain. Nanopublications are thought to facilitate the discovery, exploration, and re-use of scientific facts. Nevertheless, they are still not widely used by scientists outside specific circles; they are hard to find and rarely cited. We believe this is due to the lack of services to seek, find and understand nanopublications’ content. To this end, we present the NanoWeb application to seamlessly search, access, explore, and re-use the nanopublications publicly available on the Web. For the time being, NanoWeb focuses on the life science domain where the vastest amount of nanopublications are available. It is a unified access point to the world of nanopublications enabling search over graph data, direct connections to evidence papers, and scientific curated databases, and visual and intuitive exploration of the relation network created by the encoded scientific facts. PeerJ Inc. 2021-02-04 /pmc/articles/PMC7959622/ /pubmed/33816986 http://dx.doi.org/10.7717/peerj-cs.335 Text en © 2021 Giachelle et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited. |
spellingShingle | Data Science Giachelle, Fabio Dosso, Dennis Silvello, Gianmaria Search, access, and explore life science nanopublications on the Web |
title | Search, access, and explore life science nanopublications on the Web |
title_full | Search, access, and explore life science nanopublications on the Web |
title_fullStr | Search, access, and explore life science nanopublications on the Web |
title_full_unstemmed | Search, access, and explore life science nanopublications on the Web |
title_short | Search, access, and explore life science nanopublications on the Web |
title_sort | search, access, and explore life science nanopublications on the web |
topic | Data Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7959622/ https://www.ncbi.nlm.nih.gov/pubmed/33816986 http://dx.doi.org/10.7717/peerj-cs.335 |
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