👉 Articles computing, also known as article-based computing or semantic web technologies, refer to the use of structured data and natural language processing (NLP) techniques to represent and reason about information in a more human-like manner. This approach involves encoding knowledge from articles, which are typically well-structured pieces of text with explicit semantic roles and relationships, into formal knowledge graphs or ontologies. These representations allow machines to understand context, infer new information, and perform complex reasoning tasks by leveraging the rich semantic content embedded in the articles. By doing so, articles computing facilitates more intelligent information retrieval, automated reasoning, and decision-making systems that can interpret and act upon human language and knowledge more effectively.