This dissertation presents a study of creating maps that can be used to help people seek information from Internet documents. The study involves several different research areas in computer and information science including web mining, data mining, artificial neural network in particular self organising maps (SOM), information visualisation, user interface and information retrieval. The purpose of this dissertation is to offer an alternative way to retrieve information by visually representing the characteristics of the unseen documents and their relationships on the 2-dimensional surface of the SOM. The process starts with collecting documents that include text and images from the Internet, moving to extracting important features from them. In other words, we are performing an information retrieval indexing process. The document features are then clustered by using the SOM. As a result, documents with similar features will be clustered together on 2-dimensional maps. The maps are labelled and the documents are connected to locations on the maps based on the labels. The maps are then arranged hierarchically and visualised so that they can be used as a browsing and exploration tool for information retrieval.
| Identifer | oai:union.ndltd.org:ADTP/201903 |
| Date | January 2005 |
| Creators | Tan, Hiong Sen |
| Source Sets | Australiasian Digital Theses Program |
| Language | EN-AUS |
| Detected Language | English |
| Rights | Copyright Hiong Sen Tan 2005 |
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