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Open Bacterial Ontology for human Infectious diseases! - O(h)BOI!

This ontology has been developed for the final project of the Semantic Technologies course of the MSc in Computational Biology (2022-2023).

Purpose

In the present work we propose the ontology Open Bacterial Ontology for Infectious diseases, O(h)BOI!, an ontology that will create a knowledge base model around human bacteria-caused infectious diseases comprising medical, epidemiological, microbiological and molecular data.

Documentation

Documentation can be found in a series of HTML files, codes and AR2D2 visualizations within the OnToology/ohboi_rdfxml.owl folder

Other files within the repository include code, data and reports for the ontology evaluation stage, the requirement files and the final RDF XML and OWL serializations of the final ontology. These are specifically:

Version/Date File/Folder Description Used in
v.1.(30/12/2022) ORSD_OhBOI.pdf ORSD file with requirements for OhBOI ontology Ontology Conceptualization
v.2.(23/01/2023) ohboi_rdfxml.owl RDF file with the last version of the ontology in RDF-XML Last version of implemented ontology - Documentation
v.2.(23/01/2023) ohboi_turtle.owl RDF file with the last version of the ontology in Turtle serialization Last version of implemented ontology
v.1.(22/01/2023) Ontology_Evaluation_through_CQ RDF file with the last version of the ontology in RDF-XML Ontology evaluation
v.2.(23/01/2023) OhBOI_RDFgraph Final ontology schema RDF graph in a png file - Chowlk format Ontology implementation
v.1.(24/01/2023) ConceptualModel_HighQuality ontology schema RDF graphs in svg before and after evaluation - Chowlk format Ontology implementation
v.1.(23/01/2023) OOPS_report.png OOPS! (OntOlogy Pitfall Scanner!) evaluation report Ontology evaluation
v.1.(23/01/2023) OnToology/ohboi_rdfxml.owl/ Documentation of the ontology generated with OnToology tool Ontology documentation

Evaluation

Evaluation of the formal part of the ontology was addressed through Competency Questions (CQ) and OOPS! pitfall scanning. As a result, the ontology was compliant with the final selected requirements, and there were a hardly any pitfalls, with a number of 3 minor pitfalls found by OOPS (p04, p13, p22), which are more deeply discussed in OOPS! pitfall catalogue

OOPS

Note that none of the remaining pitfalls after the iterative evaluation were critical or important and, thereby did not affect to the correct functionality of our ontology. Moreover, no false positive or false negatives were detected

Contributors

Credits go to Natalia García and Ana Solbas.

Liscense

Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 Unported License.

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Ontology framework for Semantic Ontology MBC in Computational Biology course

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