Business Intelligence using Semantic Web
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Abstract
Computers have become an essential thing in our day-to-day life. Currently, computers have changed from single,
isolated devices to entry points in order to exchange information on the World Wide Web (WWW). Human beings are capable of
using the web to carry out a task. However, a computer cannot accomplish the same task without the human direction, because
web pages are designed to be read by the people, not by the machines. Usually, human beings interact with the web to gather
information or to improve their business intelligence. The information is accessed by giving a related keyword to search. This
keyword is used by the server to provide the relevant information. The server provides only limited information for the given
keyword. But there exists a lot of information but it is not provided to the user due to the lack of words in the given keyword. So
searching becomes intangible to fulfill the requirements of the user in some situation. This kind of searching is made with the
presence of human beings. To overcome this problem and to reduce the human effort, a new method is employed in this paper.
This new method is termed as “SEMANTIC WEBâ€.
The Semantic Web is an extension of the WWW. This is used to carry out the task directly by the computers instead of by human
beings. The computer generates the Machine-Processable Information. The Semantic Web provides the automated schemes for
gaining more relevant information by analyzing the behavior of users who currently use the web. To store the information, the
Semantic Web uses RDF (Resource Description Framework). RDF stores information in the form of XML. With the help of
Semantic Web, the users can access the web and gather more information with less effort. In this paper two models are proposed,
the User Model and the Query Model for providing service to the users and they are illustrated using an online transaction
application.
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Keywords: Automated Schemes, Business Intelligence, Extension of WWW, Intangible, Machine-Processable information,
Semantic Web.
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