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Integrating Semantic Web with Knowledge Management Agent

Ishak, Mohd Shahrul Anua (2005) Integrating Semantic Web with Knowledge Management Agent. Universiti Teknologi Petronas. (Unpublished)

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This paper is about the fundamental of a Semantic Web Service system. This system is always related to a search engine. By integrating semantic web with a knowledge representation agent, this will help user to reduce the searching time, as the agent will classify the output of their search using this web service. Besides, by having such system it also can ease the user in form of interacting with the data and to appreciate the data management and knowledge management. Having a Semantic web is quite important as Semantic web will be a platform, where the knowledge management (KM), will applied and perform their task in doing the classification of the data. Semantic web need to be constructed in user-friendly environment in which user can use the Semantic web as a channel to transfer knowledge from user to the system. The construction of semantic web require a certain framework and language as a tools, this will add value to the database as it will query the related web link in a particular manner. Beside, semantic web will also include URI as its framework, and one of the URI been used is RDF (Resource Description Framework) in which Once information is in RDF form, it becomes easy to process it, since RDF is a generic format, which already has many parsers. In addition, this will satisfied the last objective of building the semantic web. The need of semantic web service are based on the problem faced by user as when they use any search engine to obtain some information, the output of the search will produce the result in a general form. Besides, the problem with the majority of data on the Web that is in this form now is that it is difficult to use on a large scale, because there is no global system for publishing data in such a way as it can be easily processed by anyone. The vision of Semantic Web envisage the web enriched with several domain ontologies, which specify formal semantic of data and that can be used for different intelligent service, like information research, retrieval, and transformation. The suitable methodology to be used is waterfall model as it provides flexibility on developing this semantic web. in

Item Type: Final Year Project
Academic Subject : Academic Department - Information Communication Technology
Subject: Z Bibliography. Library Science. Information Resources > ZA Information resources
Divisions: Sciences and Information Technology
Depositing User: Users 2053 not found.
Date Deposited: 30 Sep 2013 16:55
Last Modified: 25 Jan 2017 09:46
URI: http://utpedia.utp.edu.my/id/eprint/7666

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