文章基本信息

标题：Web Content Mining Using Database Approach and Multilevel Data Tracking Methodology for Digital Library
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作者：Kamlesh Patidar ; Preetesh Purohit ; Kapil Sharma 等
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2011
卷号：2
期号：1
出版社：Ayushmaan Technologies
摘要：Website plays a significant role in success of an e-business, e-books & Knowledge Discovery. It is the main start point of any organization and corporation for its customers, so it's important to customize and design it according to the visitors. Also, websites are a place to introduce services of an organization and highlight new service to the visitors and audiences. we know already some existing search engine. The existing search engines do not provide content search from the collection of database, as no information about context is stored in database. The existing search engine mostly uses the agent based search then the database based search. With the possibility of world wide access current Web applications have an almost unlimited amount of potential users. With the collected information changes and optimizations can be applied to the Web application to hit the users requirements. The user who may be researcher, students, and even common person expect topic and need content. as a new field of research in data mining and knowledge discovery, Today’s digital library is a massive collection of various types and categories of documents. We will design a prototype as a search engine we proposed a algorithm in this paper for web content mining using the database approach and multilevel Data tracking for digital library.
关键词：Data mining; Database; search engine; Content mining;multilayer.ders