An ontology defines a common language across a domain. It helps experts in the field better communicate with each other. Artificial intelligence ontology has been playing an important role in natural language processing to perform tasks like translations. It allows machines to deal with more complexity. Artificial intelligence (AI) capable machines can learn without ontologies. But those artificial intelligence algorithms are unable to deal with contexts on a more deeper level.
Applied AI Ontology in Fake News
Artificial intelligence ontology can be applied to a lot of practical problems. A great candidate can be the epidemic of fake news. The issue with fake news is that it’s impossible for humans to check all the information flowing through the various channels. At the same time, machines can’t deal with the complexity of the data that fake news produces. Artificial intelligence ontology can provide the representations, formal naming, and definitions of categories to transform the data into knowledge. When AI-capable machines can recognize and define fake news data with the help of ontologies, the machines are going to be more effective in eliminating misinformation.
The Future of AI Ontology
As more businesses adopt AI, the role of the AI ontology will expand. It will help businesses define the relationships between different categories of data. It will turn business operations and languages into machine-readable knowledge resources. Machine learning algorithms will be able to use these knowledge bases to solve new business problems more efficiently.
