Search, access, and explore life science nanopublications on the Web
| Autor: | Giachelle, Fabio, Dosso, Dennis, Silvello, Gianmaria |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
General Computer Science
Relation (database) Data search Data exploration Computer science 02 engineering and technology Nanopublication lcsh:QA75.5-76.95 Domain (software engineering) World Wide Web Data citation Databases 03 medical and health sciences Graph exploration 020204 information systems 0202 electrical engineering electronic engineering information engineering RDF Data access 030304 developmental biology 0303 health sciences Point (typography) Data Science Scientific data computer.file_format Graph Nanopublication Scientific data Graph exploration Data search Data citation Data exploration Data access Digital Libraries lcsh:Electronic computers. Computer science computer |
| Zdroj: | PeerJ Computer Science PeerJ Computer Science, Vol 7, p e335 (2021) |
| ISSN: | 2376-5992 |
| DOI: | 10.7717/peerj-cs.335 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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