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Jun 25, 2024 · How are ontologies used in artificial intelligence (AI)? In AI, ontologies are used to model knowledge about the world in a structured form. This allows AI systems to understand and reason about the relationships between concepts, improving their ability to process natural language, make decisions, and learn from data.
Dec 29, 2023 · Ontologies in artificial intelligence are structured frameworks that define and categorize concepts and relationships within a specific domain. They serve as the backbone for intelligent systems to understand, process, and interpret complex data.
Developing Ontologies for Artificial Intelligence. It is a common practice among data modelers to create a representation with a scope limited to a particular domain or some portion of the domain used by an application.
An ontology defines a common vocabulary for researchers who need to share information in a domain. It includes machine-interpretable definitions of basic concepts in the domain and relations among them. Why would someone want to develop an ontology? Some of the reasons are:
May 29, 2021 · In AI, ontology refers to a shared vocabulary for researchers. It includes machine-interpretable definitions of basic concepts and the relationships between them. Ontology-based AI allows the system to use contents and the relationships between them to make inferences that emulate human behaviour.
Apr 3, 2024 · The ontology is structured around six top-level branches: Networks, Layers, Functions, LLMs, Preprocessing, and Bias, each designed to support the modular composition of AI methods and facilitate a deeper understanding of deep learning architectures and ethical considerations in AI.
Aug 4, 2023 · In the realm of Artificial Intelligence (AI), ontology engineering plays a pivotal role in structuring knowledge and facilitating semantic interoperability. In this article, we introduce DeepOnto...
ontology-based approaches to explanation and to evaluate their human-understandability and effectiveness. Keywords: Explainable AI, Intelligible explanations, Applied Ontologies 1. Introduction Explainable AI (XAI) has emerged as a critical aspect in the development of transparent and trustworthy Artificial
Several more definitions exist: “An ontology is a formal explicit specification of a shared conceptualization” 4; “An ontology is a shared understanding of some domain of interest” 5; “Formal ontology is the science that is concerned with the systematic development of axiomatic theories describing forms, modes, and views of being at different le...
Nov 8, 2023 · On the Multiple Roles of Ontologies in Explainable AI. Roberto Confalonieri, Giancarlo Guizzardi. This paper discusses the different roles that explicit knowledge, in particular ontologies, can play in Explainable AI and in the development of human-centric explainable systems and intelligible explanations.
