Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/25326
Title: | Optimizing knowledge discovery over the WWW |
Authors: | Montebello, Matthew |
Keywords: | Search engines Information retrieval XML (Document markup language) |
Issue Date: | 1998 |
Publisher: | ADBIS |
Citation: | Montebello, M. (1998). Optimizing knowledge discovery over the WWW. Second East-European Symposium on Advances in Databases and Information Systems (ADBIS'98), Poznan. 272-277. |
Abstract: | The rapid growth in data volume, user base, and data diversity render Internet-accessible information increasingly difficult to be used effectively. In this paper we discuss the issues involved with knowledge discovery in knowledge bases, in particular the WWW, by present- ing a general architecture and describing how it has been instantiated in a functional system we developed. The system attempts to concurrently maximize and optimize the resource/knowledge discovery, and custimize the information to individual users. A number of machine learning techniques have been employed in the development of the system for comparative reasons - results are presented and discussed. |
URI: | https://www.um.edu.mt/library/oar//handle/123456789/25326 |
Appears in Collections: | Scholarly Works - FacICTAI |
Files in This Item:
File | Description | Size | Format | |
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142.pdf Restricted Access | Full paper | 348.4 kB | Adobe PDF | View/Open Request a copy |
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