Evidence map›Paper›PMID 21685092›Full record

ArticleBioinformatics (Oxford, England)2011

Ontology patterns for tabular representations of biomedical knowledge on neglected tropical diseases.

Filipe Santana, Daniel Schober, Zulma Medeiros, Fred Freitas, Stefan Schulz

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Ontological interpretation of biomedical database content.Journal of biomedical semantics · 2017
    Article
  3. Article
  4. 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

5 authors.

Filipe SantanaInformatics Center, Federal University of Pernambuco (CIn/UFPE), Recife, Brazil. fss3@cin.ufpe.br
Daniel Schober
Zulma Medeiros
Fred Freitas
Stefan Schulz

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationOntology-like domain knowledge is frequently published in a tabular format embedded in scientific publications. We explore the re-use of such tabular content in the process of building NTDO, an ontology of neglected tropical diseases (NTDs), where the representation of the interdependencies between hosts, pathogens and vectors plays a crucial role.

resultsAs a proof of concept we analyzed a tabular compilation of knowledge about pathogens, vectors and geographic locations involved in the transmission of NTDs. After a thorough ontological analysis of the domain of interest, we formulated a comprehensive design pattern, rooted in the biomedical domain upper level ontology BioTop. This pattern was implemented in a VBA script which takes cell contents of an Excel spreadsheet and transforms them into OWL-DL. After minor manual post-processing, the correctness and completeness of the ontology was tested using pre-formulated competence questions as description logics (DL) queries. The expected results could be reproduced by the ontology. The proposed approach is recommended for optimizing the acquisition of ontological domain knowledge from tabular representations. AVAILABILITY AND IMPLEMENTATION: Domain examples, source code and ontology are freely available on the web at http://www.cin.ufpe.br/~ntdo. CONTACT: fss3@cin.ufpe.br.

Indexed as

Neglected DiseasesParasitic DiseasesTerminology as TopicAnimalsDisease VectorsHumansInternetKnowledgeProgramming LanguagesSoftwareTropical Climate

Identifiers

PMID21685092
PMCPMC3117366

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

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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.