AI's knowledge representation is used in a variety of fields and industries, here are a few significant real-world examples:

· Expert Systems: To simulate human competence and offer wise decision support, expert systems in AI make use of knowledge representation techniques. They are commonly utilized in industries like engineering, finance, and medicine where expertise in a certain topic is essential.

· Natural Language Processing: The ability of AI systems to comprehend, decipher, and produce human language is made possible by knowledge representation, which is a key component of NLP applications. Applications for NLP include sentiment analysis, language translation, chatbots, and virtual assistants.

· Robotics and autonomous systems: Knowledge representation helps with perception, planning, & decision-making in these systems. It enables robots to comprehend their surroundings, gain knowledge from their past, and efficiently communicate with people.

· Recommender Systems: Recommender systems employ knowledge representation to model item features, comprehend user preferences, and generate tailored recommendations. They are widely utilized in content recommendation engines, music and video streaming platforms, and e-commerce.