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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/4357

Title: SEMANTIC WEB MINING TOWARDS SEMANTIC INTEROPERABILITY IN HETEROGENEOUS ENVIRONMENTS
Keywords: Web mining, WUM, Intelligent Agent, Ontology
Researcher: Mamta Sharma
Guide(s): Dr Vijay Rana
Registration Date: 26-11-2016
Abstract: Web mining exploits the data mining techniques to automatically discover and retrieve desire information from the web and gave agreeable outcome to users. It uses three basic techniques content, structure and usage mining to extract meaningful information. Content mining is a superlative tool for retrieving meaningful information from the content of web resources. Structure mining is the process of extracting knowledge from the interrelated hypertext document on the web and usage mining an imperative technique of automatically searching and analysis the user interaction patterns with web servers. Semantic Web and Web mining techniques play an important role to mining valuable information form web. Semantic web is an extension of current web and web mining technique is an extension of data mining technique. Semantics can improve the results of Web Mining by taking advantage of structures in the Web. Web Mining can improve the Semantic Web by finding new semantic structures to enrich the semantics. The objective of this work is to proposed new innovative model that is called semantic web mining (SWM). newline
Language: English
Appears in Department:Department of Computer Science Application

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