Web 3.3: Towards the Future of Intelligent Personal Assistants

Chaganti Saraswathi  Satya Swetha; Kotha Naga  Sri Lakshmi; Manas Kumar Yogi

Abstract

The way individuals communicate with one another and conduct business has altered as a result of the deployment of the web. Compared to the current web, which uses HTML, the semantic web is far more beneficial. A set of design standards, cooperative working groups, and numerous enabling technologies make up the semantic web. Web 3.3 aims to increase the complexity and level of intelligence of the internet. It has the potential to address the shortcomings of the current technology. We can clearly project it as an enhancement of the web in which information is given a precise meaning, boosting the capacity of machines and people to cooperate. In our study, we sincerely try to demonstrate how Semantic Web knowledge is incorporated by Intelligent Personal Assistants (IPA) agents. Intelligent agents require the ability to communicate and comprehend meaning in order to perform their tasks. For example, Microsoft Cortana, Siri, and Google now have generated a cottage industry of new businesses offering a wide range of intelligent automation. The Stack-organized XML, RDF, RDF Schema (RDFS), and OWL standards are the technologies that make up the semantic web. This offers assistance with business-to-business and e-commerce apps. However, the ontologies on the semantic web contain a vast quantity of data. One thing remains consistent throughout the difficult and dynamic process of the semantic web's development: it is gradually changing human collaboration and communication with devices, software agents, and software agents toward intelligent content infrastructures.

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