Evidence map›Paper›PMID 29179777›Full record

ArticleJournal of biomedical semantics2017

A document-centric approach for developing the tolAPC ontology.

Aisha Blfgeh, Jennifer Warrender, Catharien M U Hilkens, Phillip Lord

Abstract read
In one paragraph

Article in Journal of biomedical semantics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Aisha BlfgehSchool of Computing Science, Newcastle University, Newcastle Upon Tyne, NE1 7RU, UK. a.blfgeh1@newcastle.ac.uk.
Jennifer WarrenderSchool of Computing Science, Newcastle University, Newcastle Upon Tyne, NE1 7RU, UK.
Catharien M U HilkensInstitute of Cellular Medicine, Newcastle University, Newcastle Upon Tyne, NE1 7RU, UK.
Phillip LordSchool of Computing Science, Newcastle University, Newcastle Upon Tyne, NE1 7RU, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere are many challenges associated with ontology building, as the process often touches on many different subject areas; it needs knowledge of the problem domain, an understanding of the ontology formalism, software in use and, sometimes, an understanding of the philosophical background. In practice, it is very rare that an ontology can be completed by a single person, as they are unlikely to combine all of these skills. So people with these skills must collaborate. One solution to this is to use face-to-face meetings, but these can be expensive and time-consuming for teams that are not co-located. Remote collaboration is possible, of course, but one difficulty here is that domain specialists use a wide-variety of different "formalisms" to represent and share their data - by the far most common, however, is the "office file" either in the form of a word-processor document or a spreadsheet. Here we describe the development of an ontology of immunological cell types; this was initially developed by domain specialists using an Excel spreadsheet for collaboration. We have transformed this spreadsheet into an ontology using highly-programmatic and pattern-driven ontology development. Critically, the spreadsheet remains part of the source for the ontology; the domain specialists are free to update it, and changes will percolate to the end ontology.

resultsWe have developed a new ontology describing immunological cell lines built by instantiating ontology design patterns written programmatically, using values from a spreadsheet catalogue.

conclusionsThis method employs a spreadsheet that was developed by domain experts. The spreadsheet is unconstrained in its usage and can be freely updated resulting in a new ontology. This provides a general methodology for ontology development using data generated by domain specialists.

Indexed as

Biological OntologiesSemanticsSemantic WebSoftwareAnimalsHumansInternetSearch EngineTerminology as TopicDocument-centricExcel workflowOntologyTawny-OWL

Identifiers

PMID29179777
PMCPMC5704585

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LicenceCC BY
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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.