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This paper presents a system for visualizing the information contained in the text of a web page. The goal of the visualization is to help the users better and faster understand the text on a web page and/or find related content on the internet. These visualizations are possible due to the use of text mining, natural language processing and semantic web technologies. Our system tries to make these...
Web topic is the theme indicated by Web pages. Some methods have been proposed to represent Web topic based on text mining. However, these methods canpsilat denote multimedia contents on Web page, such as images, audios, videos and so on. Consequently, text-based methods can't represent Web topic exactly because most Web pages consist of many multimedia contents. This paper proposes a new approach,...
The Web has become versatile tool for almost all application today. The Web mining is an application of data mining. Without the Internet, life would have been almost impossible. The data available on the Web is so voluminous and heterogeneous that it becomes an essential factor to mine this available data to make it presentable & useful pertinent to a particular problem. Web mining deals with...
The semantic Web has emerged to replace the World Wide Web (WWW or the Web) as the unique platform for information sharing. Applications such as e-commerce will be and could be plausible only if we can annotate the Web pages with their semantics. For newly developed semantic Web resources, such annotation can be done manually or by help of some authoring tools. However, it is not practical to semantically...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.