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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...
Several recent surveys and position papers [1, 5, 15, 16] emphasise the importance of designing explainability solutions that cater to diverse purposes and stakeholders, and highlight the limitations of existing approaches in supporting comprehensive human-centric Explainable AI.
Jan 1, 2001 · In this paper, we overview meaning, definition, and applications of ontology on Artificial Intelligence field. Ontology on AI stems from knowledge representation, in particular, knowledge...
Nov 8, 2023 · 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.
