Inverted index is the heart of search engines. The primary goal of a search engine is to provide speedy searches while finding the documents in which our search terms occur. Inverted index is a hashmap like data structure that directs users from a word to a document or a web page. It is the heart of search engines. Its main goal is to provide quick searches for finding data from millions of documents.

Usually in Books we have inverted indexes as below. Based on the word we can thus find the page on which the word exists.

Consider the FOLLOWING statements

• javainuse is a good website
• javainuse is one of the good WEBSITES.

For indexing PURPOSE the above text are tokenized into separate terms and all the unique terms are stored inside the index with information such as in which document this term appears and what is the term position in that document.

So the inverted index for the document text will be as follows-

When you search for the term website OR websites, the query is EXECUTED against the inverted index and the terms are looked out for, and the documents where these terms appear are quickly identified. 

Inverted index is the heart of search engines. The primary goal of a search engine is to provide speedy searches while finding the documents in which our search terms occur. Inverted index is a hashmap like data structure that directs users from a word to a document or a web page. It is the heart of search engines. Its main goal is to provide quick searches for finding data from millions of documents.

Usually in Books we have inverted indexes as below. Based on the word we can thus find the page on which the word exists.

Consider the following statements

For indexing purpose the above text are tokenized into separate terms and all the unique terms are stored inside the index with information such as in which document this term appears and what is the term position in that document.

So the inverted index for the document text will be as follows-

When you search for the term website OR websites, the query is executed against the inverted index and the terms are looked out for, and the documents where these terms appear are quickly identified.