Web-Based File Clustering and Indexing for Mindoro State University
This is an incremental improvement for a specific university's web data management system.
The paper tackled the problem of organizing web-based data for Mindoro State University by introducing a novel semantic-based clustering approach for search results, which improved information retrieval from document collections, though no concrete numerical results were provided.
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.