this web-based Snippet Visualization System is to provide a visualization-based technique for web search results based on textual snippets. This project was developed with PHP, javascript, Ajax, and MySQL Database. Here Students can download the complete project code, and report PPT.
Introduction
Many internet users search for some query and as a result, they get a ranked list of URLs.
The user could get disappointed with this related search.
Hence, we are developing a system that is focusing on retrieving search results in thumbnail form.
Users can interact with more results in a single view.
It affords easy navigation and is straightforward to interpret with the user.
Objectives:
To perform pre-processing of collected data.
To perform similarity identification and ranking of the snippets using the k means algorithm.
To perform optimization of the snippets for visualization purposes.
To analyze the performance of the proposed system via experimental evaluation of results.
System Architecture
Modules
1. Collecting information:
It is the first step where the system will collect data from a custom search engine and store it in a database for further processing. Data is stored in the form of text, URLs, and descriptions displayed on each web page.
2. Pre-processing:
It is the second step where each entry returned from a textual query is processed and its term frequency vector extracted.
3. Similarity Identification:
Multidimensional projection techniques may be employed to generate visualizations that favor the perception of groups of similar documents. Such methods typically represent documents as points in a two-dimensional visual space, where neighboring points correspond to documents with similar content. However, points only convey information on neighborhood relations.
4. Ranking:
Snippets collected in similarity are then ranked in this module using the following algorithm.
• Text-based ranking algorithm.
• Weighted page ranking algorithm.
5 . Optimization:
This module Optimizes the placement of the snippets to avoid overlapping while preserving data neighborhoods as computed by the projection.
Implementation
For the implementation we have used different web technology ie., PHP, javascript, ajax, and open-source databases i.e., MySQL
Conclusion:
We introduced the Snippet visualization technique to visualize the collection of the textual result returned from the webpage.
The system collects URLs from webpages displayed as a result of a search query and stores them in the database.
After storing the data in the database it will display all collected text, URLs, and descriptions on the server side.
Then it starts preprocessing the collected URL. Hence it is useful to the system to do further task. Finally, preprocessed data as output is displayed.
Download Snippet Visualization System Code Report PPT
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