论文标题

Mindoro州立大学基于Web的文件聚类和索引

Web-Based File Clustering and Indexing for Mindoro State University

论文作者

Luzon, Christie A., Lacatan, Luisito Lolong, Bangalisan, Harold Y., Osapdin, Jayvee M.

论文摘要

Mindoro州立大学的基于Web的文件群集和索引旨在将网络传播的数据组织成组或集合,以促进数据可用性和访问权限,同时符合用户的偏好。主要好处包括增加网络信息可访问性,了解用户导航行为,改善信息检索和网络上的内容交付。基于Web的文件群集可以有助于到达用户正在搜索的所需文档。在本文中,已经引入了一种新的方法,用于搜索结果聚类,该方法基于检索文档的语义而不是这些文档中术语的语法。数据聚类用于改善文档收集的信息检索。使用SPSS处理和分析数据,并评估仪器以测试所使用措施的可靠性和有效性。评估是基于精选质量特征所述的优秀,良好,公平和差的李克特量表。

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.

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