An ontology design for validating childhood cancer registry data
Ontologies can provide a valuable role in the work of cancer registration, particularly as a tool for managing and navigating the various classification systems and coding rules. Further advantages accrue from the ability to formalise the coding rule base using description logics and thereby benefit...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-07-01
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| Series: | Frontiers in Oncology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2023.1212434/full |
| _version_ | 1797777956956798976 |
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| author | Nicholas Nicholson Francesco Giusti Carmen Martos |
| author_facet | Nicholas Nicholson Francesco Giusti Carmen Martos |
| author_sort | Nicholas Nicholson |
| collection | DOAJ |
| description | Ontologies can provide a valuable role in the work of cancer registration, particularly as a tool for managing and navigating the various classification systems and coding rules. Further advantages accrue from the ability to formalise the coding rule base using description logics and thereby benefit from the associated automatic reasoning functionality. Drawing from earlier work that showed the viability of applying ontologies in the data validation tasks of cancer registries, an ontology was created using a modular approach to handle the specific checks for childhood cancers. The ontology was able to handle successfully the various inter-variable checks using the axiomatic constructs of the web ontology language. Application of an ontological approach for data validation can greatly simplify the maintenance of the coding rules and facilitate the federation of any centralised validation process to the local level. It also provides an improved means of visualising the rule interdependencies from different perspectives. Performance of the automatic reasoning process can be a limiting issue for very large datasets and will be a focus for future work. Results are provided showing how the ontology is able to validate cancer case records typical for childhood tumours. |
| first_indexed | 2024-03-12T23:11:27Z |
| format | Article |
| id | doaj.art-4ee0ee30e2964b148366ea626a322f76 |
| institution | Directory Open Access Journal |
| issn | 2234-943X |
| language | English |
| last_indexed | 2024-03-12T23:11:27Z |
| publishDate | 2023-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Oncology |
| spelling | doaj.art-4ee0ee30e2964b148366ea626a322f762023-07-18T02:58:59ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2023-07-011310.3389/fonc.2023.12124341212434An ontology design for validating childhood cancer registry dataNicholas Nicholson0Francesco Giusti1Carmen Martos2European Commission, Joint Research Centre (JRC), Ispra, ItalyBelgian Cancer Registry, Brussels, BelgiumRare Diseases Research Unit, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region (FISABIO), Valencia, SpainOntologies can provide a valuable role in the work of cancer registration, particularly as a tool for managing and navigating the various classification systems and coding rules. Further advantages accrue from the ability to formalise the coding rule base using description logics and thereby benefit from the associated automatic reasoning functionality. Drawing from earlier work that showed the viability of applying ontologies in the data validation tasks of cancer registries, an ontology was created using a modular approach to handle the specific checks for childhood cancers. The ontology was able to handle successfully the various inter-variable checks using the axiomatic constructs of the web ontology language. Application of an ontological approach for data validation can greatly simplify the maintenance of the coding rules and facilitate the federation of any centralised validation process to the local level. It also provides an improved means of visualising the rule interdependencies from different perspectives. Performance of the automatic reasoning process can be a limiting issue for very large datasets and will be a focus for future work. Results are provided showing how the ontology is able to validate cancer case records typical for childhood tumours.https://www.frontiersin.org/articles/10.3389/fonc.2023.1212434/fullontology designdescription logicdata validationdata harmonizationcancer registrationchildhood cancer |
| spellingShingle | Nicholas Nicholson Francesco Giusti Carmen Martos An ontology design for validating childhood cancer registry data Frontiers in Oncology ontology design description logic data validation data harmonization cancer registration childhood cancer |
| title | An ontology design for validating childhood cancer registry data |
| title_full | An ontology design for validating childhood cancer registry data |
| title_fullStr | An ontology design for validating childhood cancer registry data |
| title_full_unstemmed | An ontology design for validating childhood cancer registry data |
| title_short | An ontology design for validating childhood cancer registry data |
| title_sort | ontology design for validating childhood cancer registry data |
| topic | ontology design description logic data validation data harmonization cancer registration childhood cancer |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2023.1212434/full |
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