LSI stands for Latent Semantic Indexing. The whole abstraction of LSI is based on the basic principle that words that are used in the aforementioned contexts tend to have similar meanings.

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It's like synonyms, something closely related. Like cars & automobile..it's all i know.

LSI or Latent Semantic Indexing is a complicated term with a simple explanation. The main concept behind Latent Semantic Indexing is to discover words and phrases that are related in the context of any document or group of documents. Search engines, Internet Marketing Professionals, and Website Designers often use LSI in their day-to-day activities.
Latent Semantic Indexing is the discovery process for finding related terms and phrases. LSI is a mathematical equation that will fold words into a matrix for analysis that will draw out semantically related terms. This equation relies heavily on the context in which any given word is used. For example, if the term "flat tire" is used in a document, some semantically related terms would be: car, vehicle, repair, wheel, tire pressure, and lug nut wrench. You can see that all the words in the list are related to the term "flat tire".

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