Knowledge Representation in Artificial Intelligence
Keywords:
Knowledge Representation, Artificial Intelligence, Formal Logic, Birth of AI, Expert Systems, Ontologies, Semantic Web.Abstract
Knowledge representation is a cornerstone of artificial intelligence, enabling machines to store, process, and reason about information. This paper provides an overview of the historical evolution, establishment, and contemporary trends in knowledge representation within the field of AI. From its origins in ancient legal codes to the current era of multimodal knowledge graphs and deep learning, this review explores the diverse facets of knowledge representation. It highlights pivotal developments, such as the emergence of formal logic, the birth of AI as a discipline, the advent of expert systems, and the rise of ontologies and the Semantic Web. Moreover, it examines the present phase of AI, characterized by knowledge graphs and neural networks, while emphasizing the relevance of knowledge representation in legal contexts and beyond. This paper underscores the transformative impact of knowledge representation on AI applications and its ongoing significance in the ever-evolving landscape of artificial intelligence.
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