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Inverted Index: A Foundation for Search Engines
An inverted index is a data structure used in search engines to map each word (term) to the documents that contain it. It reverses the traditional document-term relationship by focusing on:
"In which documents does the word 'Caesar' appear?" rather than "What words are in Document 1?"
Example: Two Documents
Let's work with two simple documents:
Step 1: Building the Inverted Index
Tokenization
First, we extract all words and note which document they come from:
Output
Our inverted index is now complete. Each word points to the list of documents where it appears.
Step 2: Boolean Queries
AND Query
Output:
Both "brutus" and "caesar" appear in documents 1 and 2.
OR Query
Output:
AND NOT Query
Output:
- Author:Entropyobserver
- URL:https://tangly1024.com/article/1ddd698f-3512-809b-8fc6-f2fb8cb2e5f3
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