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Dr Insiyah R. answered on
Nov 01 2022
Ontology in healthcare
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Introduction : What is Ontology
An ontology is a formalised description of knowledge that details the concepts and relationships between them in a particular domain.
To enable such a description, components such as individuals (instances of objects), classes, attributes, relations, requirements, rules, and axioms must be formally specified (Bolt et al,2020).
As a result, ontologies not only provide a reusable and transferable representation of information, but they may also potentially enrich preexisting domain knowledge (Dos Reis et al,2015).
Large-scale ontologies in fields like biomedicine may now be developed collaboratively by a diverse group of distant users thanks to tools like collaborative Protégé, which provide structured logs of updates to the ontology (Bolt et al,2020).
A solution to the problem of evaluating the outcomes of cooperative ontology engineering endeavours is urgently needed, both practically and theoretically.
Management and quality assurance professionals must have a firm grasp on the state of ontologies generated via collaborative efforts. By better understanding these processes, makers of tools may create solutions that are a better suited for collaborative ontology construction (Dos Reis et al,2015).
Why ontologies are important in healthcare
Interoperability across different healthcare systems is one of the biggest challenges in the healthcare industry.
Communication between different parts of healthcare systems is boosted by ontology.
When compared to fields like finance, where ontology is more developed, the timing of interactions between systems is worse here.
Information systems may be made stronger and more compatible with one another with the use of ontology.
They also help with a healthcare procedure that involves reusing, sending, and exchanging the patient's personal data. Ontology is mostly used in the medical field to represent and organise or reorganise medicinal vocabularies. If the issues with medical terminology are to be resolved, ontology must be an integral element of the solution. In contrast to more developed nations, Albania either has extremely little or no understanding in the field of ontology at all.
Ontology created in Protégé
When the ontology data model is applied to a set of facts, a knowledge graph is produced. This structure is a network of entities, with types represented by nodes and edges representing relationships between them.
By outlining the structure of knowledge in a domain, an ontology makes it possible for a data model to gather data in that area (Dos Reis et al,2015).
The ontology editor and framework known as Protégé was created by Stanford University and is available for free and open source use. It is intended to be used in the construction of intelligent systems (Dos Reis et al,2015). Build knowledge-based solutions in fields as varied as biomedicine, e-commerce, and organisational modelling with the help of Protégé, which is used by a large community of users from academic institutions, government agencies, and private companies. Protégé is sponsored by this community (Groß, Pruski, and Rahm, 2016).
Ontology integration
Integrating ontologies co
ectly requires the creation of
idge modules that accurately reflect a shared interpretation of the semantic relations between the various ontology pieces (Dos Reis et al,2015).
Scientists need this in order to quickly compare, align, and utilise data from several streams of empirical research.
Even if the ontologies and annotations (data) are maintained separate, ontology-based assimilation does not affect the way academics in different domains conduct their research or impose any undesirable theoretical or methodological perspectives on them.
When information is annotated using a unified ontology, we get ontology-based integration (Turner and Laird,2012).
Predictions made by experts about the years ahead. Researchers who are responsible for producing primary data should keep annotating data with the use of existing ontologies and submitting it to shared repositories. They should also continue to use ontology-based integration, in which upper- and mid-level ontologies, as well as information standards, are standardised via the creation of syntactic or semantic
idging modules (Gómez, Sanz, and Hernández, 2008).
Using cognitive ontologies in practise
An ontology is a notational framework for representing the...