International Journal of
Information and Education Technology

Abstract

Traditional text search engines accomplish document retrieval by taking a query from the user, and then returning a set of documents matching the user’s query. A web search engine often returns thousands of pages in response to a broad query. This makes it very difficult for users to browse or to identify relevant information from the results returned. In order to retrieve the documents of interest, the user must formulate the query using the keywords that appear in the documents. This is a difficult task, if not impossible, for ordinary people who are not familiar with the vocabulary of the data corpus. Clustering methods can be used to automatically group the retrieved documents into a sorted list of meaningful categories by analyzing the results for related content.