Investigating the Role of Ontologies to Develop Augmented Intelligence Applications

Abstract

This paper presents about knowledge representation utilizing ontologies to empower augmented intelligence (AUI) for Systems Engineering. Innovation patterns show new strategies and apparatuses for advanced designing will fuse AUI. Machine learning (ML) methods uphold arrangement, bunching, and affiliation distinguishing proof, yet battle to explain the reasoning for dynamic knowledge entities and their crucial representation. Knowledge representation assumes a critical part in applying this kind of Artificial Intelligence (AI). Ontologies equip the researchers with the benefit of knowledge description and representation so that intelligent applications can be designed in efficient way without disregarding its design complexity. With the help of model-based ontologies, AUI application which will be very much flexible will be highly useful for designing even model free frameworks. The semantic web innovations equipped with ontologies will help in knowledge discovery in turn leveraging the design of AUI applications. AUI applications are heavily CPU intensive thereby increasing loads on the CPU. In order to decrease this load, the ontologies need to be very thin in terms of processing abilities. It is to be noted that this innovation could likewise have a major and positive impact on heavy exercises in the regions of training, advancement and administrations, just as in management and highly dynamic cycles. Be that as it may, as is consistently the situation with new advances, it is important to consider the advantages, yet in addition any potential dangers can be included for sure. The operational parts of executing augmented intelligence in libraries ought to be re-evaluated with regards to any moral issues that may emerge. This is especially evident with regards to the idea of Transhumanism, which has just been advocated in this article.