Evidence map›Paper›PMID 28214993›Full record

ArticleJournal of medical systems2017

SCALEUS: Semantic Web Services Integration for Biomedical Applications.

Pedro Sernadela, Lorena González-Castro, José Luís Oliveira

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of medical systems, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. A semantic-based workflow for biomedical literature annotation.Database : the journal of biological databases and curation · 2017
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Pedro SernadelaDETI/IEETA, University of Aveiro, Campus Universitario de Santiago, Aveiro, 3810-193, Portugal. sernadela@ua.pt.ORCID http://orcid.org/0000-0002-3306-0195
Lorena González-CastroGalician Research and Development Center in Advanced Telecommunications (GRADIANT), Campus Universitario de Vigo, Vigo, 36310, Spain.
José Luís OliveiraDETI/IEETA, University of Aveiro, Campus Universitario de Santiago, Aveiro, 3810-193, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, we have witnessed an explosion of biological data resulting largely from the demands of life science research. The vast majority of these data are freely available via diverse bioinformatics platforms, including relational databases and conventional keyword search applications. This type of approach has achieved great results in the last few years, but proved to be unfeasible when information needs to be combined or shared among different and scattered sources. During recent years, many of these data distribution challenges have been solved with the adoption of semantic web. Despite the evident benefits of this technology, its adoption introduced new challenges related with the migration process, from existent systems to the semantic level. To facilitate this transition, we have developed Scaleus, a semantic web migration tool that can be deployed on top of traditional systems in order to bring knowledge, inference rules, and query federation to the existent data. Targeted at the biomedical domain, this web-based platform offers, in a single package, straightforward data integration and semantic web services that help developers and researchers in the creation process of new semantically enhanced information systems. SCALEUS is available as open source at http://bioinformatics-ua.github.io/scaleus/ .

Indexed as

Databases, FactualSemanticsSystems IntegrationHumansInformation Storage and RetrievalMedical InformaticsDatabaseData integrationData managementSemantic webTriplestoreWeb services

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.