Figure 1. A mind map [207] summarizing the contents of this article in a convenient manner. https://doi.org/10.1371/journal.pcbi.1000204.g001

115 results found

BMJ Open Science

How open science helps researchers succeed

One way to think about "core" biodiversity data is as a network of connected entities, such as taxa, taxonomic names, publications, people, species, sequences, images, and collections that form the "biodiversity knowledge graph". Many questions in biodiversity informatics can be framed as paths in this graph. This article explores this futher, and sketches a set of services and tools we would need in order to construct the graph. New information In order to build a usable biodiversity knowledge graph we should adopt JSON-LD for biodiversity data, develop reconciliation services to match entities to identifiers, and a use a mixture of document and graph databases to store and query the data. To bootstrap this project we can create wrappers around each major biodiversity data provider, and a central cache that is both a document store and a simple graph database. This power of this approach should be showcased by applications that use the central cache to tackle specific problems, such as augmenting existing data.

The success of distributed and semantic-enabled systems relies on the use of up-to-date ontologies and mappings between them. However, the size, quantity and dynamics of existing ontologies demand a huge maintenance effort pushing towards the development of automatic tools supporting this laborious task. This article proposes a novel method, investigating different types of similarity measures, to identify concepts’ attributes that served to define existing mappings. The obtained experimental results reveal that our proposed method allows to identify the relevant attributes for supporting mapping maintenance, since we found correlations between ontology changes affecting the identified attributes and mapping changes.

As the amount of scholarly communication increases, it is increasingly difficult for specific core scientific statements to be found, connected and curated. Additionally, the redundancy of these statements in multiple fora makes it difficult to determine attribution, quality, and provenance. To tackle these challenges, the Concept Web Alliance has promoted the notion of nanopublications (core scientific statements with associated context). In this document, we present a model of nanopublications along with a NamedGraph/RDF serialization of the model. Importantly, the serialization is defined completely using already existing community developed technologies. Finally, we discuss the importance of aggregating nano-publications and the role that the ConceptWiki plays in facilitating it.

SKOS—Simple Knowledge Organization System—provides a model for expressing the basic structure and content of concept schemes such as thesauri, classification schemes, subject heading lists, taxonomies, folksonomies, and other similar types of controlled vocabulary. As an application of the Resource Description Framework (RDF), SKOS allows concepts to be composed and published on the World Wide Web, linked with data on the Web and integrated into other concept schemes. This document is a user guide for those who would like to represent their concept scheme using SKOS. In basic SKOS, conceptual resources (concepts) are identified with URIs, labeled with strings in one or more natural languages, documented with various types of note, semantically related to each other in informal hierarchies and association networks, and aggregated into concept schemes. In advanced SKOS, conceptual resources can be mapped across concept schemes and grouped into labeled or ordered collections. Relationships can be specified between concept labels. Finally, the SKOS vocabulary itself can be extended to suit the needs of particular communities of practice or combined with other modeling vocabularies. This document is a companion to the SKOS Reference, which provides the normative reference on SKOS.

The use and limits of scientific names in biological informatics

Datos abiertos enlazados y libros abiertos: impacto en las bibliotecas y en el desarrollo de la sociedad de la información

The clinical and epidemiological features and hints of 82 confirmed COVID-19 pediatric cases aged 0-16 in Wuhan, China

A Mini Review on Current Clinical and Research Findings for Children Suffering from COVID-19

Clinical Manifestations of Children with COVID-19: a Systematic Review

Are COVID-19 infected children with gastrointestinal symptoms different from those without symptoms? A comparative study of the clinical characteristics and epidemiological trend of 244 pediatric cases from Wuhan

Clinical features of suspected pediatric patients with 2019 novel coronavirus infection and the role of procalcitonin in early differential diagnosis

Epidemiological and Clinical Characteristics of Children with Coronavirus Disease 2019

Hundreds of severe pediatric COVID-19 infections in Wuhan prior to the lockdown

Data-driven discovery of clinical routes for severity detection in COVID-19 pediatric cases

Prediction of Pediatric Critical Care Resource Utilization for Disaster Triage

Coronavirus Disease 2019 in Children An Invisible Threat Which We Cannot Ignore

Caring for Critically Ill Adults With Coronavirus Disease 2019 in a PICU

Caring for Critically Ill Adults in PICUs Is Not “Child’s Play”

ACE2, COVID-19, and ACE Inhibitor and ARB Use during the Pandemic: The Pediatric Perspective