Web-Based File Clustering and Indexing for Mindoro State University

TL;DR

This paper presents a web-based file clustering and indexing system for Mindoro State University that organizes web data semantically to improve information retrieval, user experience, and content accessibility.

Contribution

It introduces a novel semantic-based clustering approach for search results, enhancing data organization and retrieval efficiency over traditional syntax-based methods.

Findings

Improved data accessibility and organization.

Enhanced relevance of search results through semantic clustering.

Validated clustering approach using SPSS analysis.

Abstract

The Web Based File Clustering and Indexing for Mindoro State University aim to organize data circulated over the Web into groups or collections to facilitate data availability and access and at the same time meet user preferences. The main benefits include increasing Web information accessibility, understanding users navigation behavior, improving information retrieval and content delivery on the Web. Web based file clustering could help in reaching the required documents that the user is searching for. In this paper a novel approach has been introduced for search results clustering that is based on the semantics of the retrieved documents rather than the syntax of the terms in those documents. Data clustering was used to improve the information retrieval from the collection of documents. Data were processed and analyzed using SPSS where the instrument was evaluated to test the reliability and validity of the measures used. Evaluation was based on a Likert scale of Excellent, Good, Fair, and Poor as described for the selected quality characteristics.