WebSearchEngine

KO | EN

gitlite — search

#hacktoberfest #react #typescript #android #machine-learning #rust #docker #java #awesome-list #vue #pytorch #security #openai #open-source

WebSearchEngine

(★ 19)

https://www.text-mining.ro/ demonstrates how to design & implement a Web Search Engine

WebSearchEngine 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

![WebSearchEngine.png](https://raw.githubusercontent.com/mihaimoga/WebSearchEngine/main/WebSearchEngine.png)

# WebSearchEngine

This project demonstrates the design and implementation of a basic **Web Search Engine**, showcasing key components such as web crawling, indexing, and query processing.

## Overview

The search engine operates by crawling websites, parsing their content, and indexing relevant information for efficient retrieval. It respects the `robots.txt` protocol and extracts metadata such as:

- Page titles
- HTML content
- JavaScript and CSS
- Headings
- Meta tags

## Features

- **Web Crawler**: Navigates through websites, obeying `robots.txt` directives.
- **Indexer**: Processes and stores page content for fast lookup.
- **Query Processor**: Handles user queries and retrieves relevant results.
- **Metadata Extraction**: Captures structured data from HTML for improved relevance.

## How It Works

### 1. Web Crawling
The engine starts by crawling web pages:
- Downloads HTML content from URLs.
- Follows links to discover new pages.
- Respects `robots.txt` rules to avoid restricted areas.

It extracts:
- Page titles
- Headings (`<h1>`, `<h2>`, etc.)
- Meta tags
- JavaScript and CSS references
- Raw HTML content

### 2. Indexing
After crawling, the engine processes and stores content in an index:
- **Tokenization**: Breaks text into searchable words.
- **Normalization**: Lowercases text, removes punctuation, etc.
- **Metadata Storage**: Links each word to the page(s) it appears in, with frequency and position.

### 3. Query Processing
When a user enters a search query:
- Parses the query.
- Looks up relevant terms in the index.
- Ranks pages based on relevance (e.g., term frequency, metadata match).
- Returns results with titles, snippets, and links.

## Technologies Used

- **C++** for core engine logic
- **HTML/CSS/JavaScript** for front-end interface
- **Custom Semaphores** for concurrency control

## Getting Started

To run the project locally:

1. Clone the repository:
   ```bash
   git clone https://github.com/mihaimoga/WebSearchEngine.git
   ```
2. Build the project using your preferred C++ compiler or IDE.
3. Launch the crawler and indexer modules.
4. Use the front-end interface to perform search queries.

## Demo

Visit [`text-mining.ro`](https://text-mining.ro/) for a live demonstration.

## License

This project is licensed under the GNU General Public License v3.0 - see the LICENSE file for details.

WebSearchEngine

WebSearchEngine 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

WebSearchEngine

WebSearchEngine 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README