Mining in Ontology with Multi Agent System in Semantic Web : A Novel Approach

Abstract

A large amount of data is present on the web. It contains huge number of web pages and to find suitable information from them is very cumbersome task. There is need to organize data in formal manner so that user can easily access and use them. To retrieve information from documents, there are many Information Retrieval (IR) techniques. Current IR techniques are not so advanced that they can be able to exploit semantic knowledge within documents and give precise results. IR technology is major factor responsible for handling annotations in Semantic Web (SW) languages. With the rate of growth of web and huge amount of information available on the web which may be in unstructured, semi structured or structured form, it has become increasingly difficult to identify the relevant pieces of information on the internet. IR technology is major factor responsible for handling annotations in Semantic Web (SW) languages. Knowledgeable representation languages are used for retrieving information. So, there is need to build an ontology that uses well defined methodology and process of developing ontology is called Ontology Development. Secondly, Cloud computing and data mining have become famous phenomena in the current application of information technology. With the changing trends and emerging of the new concept in the information technology sector, data mining and knowledge discovery have proved to be of significant importance. Data mining can be defined as the process of extracting data or information from a database which is not explicitly defined by the database and can be used to come up with generalized conclusions based on the trends obtained from the data. A database may be described as a collection of formerly structured data. Multi agents data mining may be defined as the use of various agents cooperatively interact with the environment to achieve a specified objective. Multi agents will always act on behalf of users and will coordinate, cooperate, negotiate and exchange data with each other. An agent would basically refer to a software agent, a robot or a human being Knowledge discovery can be defined as the process of critically searching large collections of data with the aim of coming up with patterns that can be used to make generalized conclusions. These patterns are sometimes referred to as knowledge about the data. Cloud computing can be defined as the delivery of computing services in which shared resources, information and software’s are provided over a network, for example, the information super highway. Cloud computing is normally provided over a web based service which hosts all the resources required. As, the knowledge mining is used in many fields of study such as in science and medicine, finance, education, manufacturing and commerce. In this paper, the Semantic Web addresses the first part of this challenge by trying to make the data also machine understandable in the form of Ontology, while Multi-Agent addresses the second part by semi-automatically extracting the useful knowledge hidden in these data, and making it