What is Semantic AI?
Semantic AI enables machines to interpret the intent of content rather than focusing on the exact words being used. This is extremely useful to improve search results and information findability. It links content to its implicit, hidden, or intangible meanings, simulating human-like understanding of content. This approach provides more accurate results that better align with the searcher's actual intent.
For example, without Semantic AI, 'Glasgow bus timetables' and 'departure/arrival times Glasgow buses' could elicit very different search results based on exact term matches, despite essentially meaning the same thing. Similarly, a search for 'rock music' might interpret 'rock' as a stone instead of a music genre without semantic understanding.
What is Semantic AI used for?
Semantic AI is used in various applications to enhance understanding and processing of human language and intent. For instance, in e-commerce platforms, it's used to improve product search and recommendations. When a customer searches for "lightweight laptop for travel," Semantic AI can understand the intent behind these words and suggest appropriate products, even if they don't exactly match the search terms.
In content management systems, Semantic AI can be used in conjunction with taxonomies for intelligent content tagging and classification. It can automatically categorize articles, documents, or multimedia content based on their meaning and context, making them easier to organize and retrieve.
Customer service chatbots utilize Semantic AI to better interpret customer queries and provide more accurate responses. For example, it can understand that "I can't log in" and "My account access isn't working" are essentially the same problem, even though they use different words.
In healthcare, Semantic AI is used to analyze medical records and research papers, helping to identify patterns and connections that might not be immediately obvious to human researchers.
Search engines employ Semantic AI to understand the context and intent behind user queries, providing more relevant results and even answering questions directly.
Why is Semantic AI useful?
Semantic AI significantly improves the efficiency and effectiveness of information findability, reducing time spent searching for relevant content. It provides more relevant search results, enhancing user satisfaction and engagement. This technology leads to better customer experiences by delivering more accurate and contextual information. In workplace settings, it boosts employee productivity by streamlining information access. Ultimately, Semantic AI supports improved decision-making by providing more accurate and contextually appropriate information to users.
