Web Mining using Semantic Data Mining Techniques
K.Ganapathi Babu1, A.Komali2, V.Mythry3, A.S.K.Ratnam4
1K.Ganapathi Babu Pursuing M.Tech in Computer Science Engineering at Vignan’s LARA Institute Of Technology and Sceince, Vadlamudi, Guntur Dist., A.P., India.
2A.Komali Pursuing M.Tech in Computer Science Engineering at Vignan’s LARA Institute Of Technology and Sceince, Vadlamudi, Guntur Dist., A.P., India.
3V.Mythry, Pursuing M.Tech in Computer Science Engineering at Vignan’s LARA Institute Of Technology and Sceince, Vadlamudi, Guntur Dist., A.P., India.
4A.S.K.Ratnam Head, Department of CSE, Vignan’s LARA Institute Of Technology & Sceince,Vadlamudi Guntur Dist., A.P., India.
Manuscript received on July 01, 2012. | Revised Manuscript received on July 04, 2012. | Manuscript published on July 05, 2012. | PP: 168-171 | Volume-2, Issue-3, July 2012. | Retrieval Number: C0739052312 /2012©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The purpose of Web mining is to develop methods and systems for discovering models of objects and processes on the World Wide Web and for web-based systems that show adaptive performance. Web Mining integrates three parent areas: Data Mining, Internet technology and World Wide Web, and for the more recent Semantic Web. Semantic Web Mining is the outcome of two new and fast developing domains: Semantic Web and Data Mining. The Semantic Web is an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in cooperation. Data Mining is the nontrivial process of identifying valid, previously unknown, potentially useful patterns in data. Semantic Web Mining refers to the application of data mining techniques to extract knowledge from World Wide Web or the area of data mining that refers to the use of algorithms for extracting patterns from resources distributed over in the web. The aim of Semantic Web Mining is to discover and retrieve useful and interesting patterns from a huge set of web data. This web data consists of different kind of information, including web structure data, web log data and user profiles data. Semantic Web Mining is a relatively new area, broadly interdisciplinary, attracting researchers from: computer science, information retrieval specialists and experts from business studies fields. Web data mining includes web content mining, web structure mining and web usage mining. All of these approaches attempt to extract knowledge from the web, produce some useful results from the knowledge extracted and apply these results to the real world problems. This paper gives an overview of how the semantic web is used for mining the World Wide Web.
Keywords: Data mining, Semantic web, Web mining, World Wide Web.