Study on the Visualization Elements of Web Information Services: Focused on Researcher Network and Graphic Chart

2011 ◽  
Author(s):  
Hanmin Jung ◽  
Mikyoung Lee ◽  
Pyung Kim ◽  
DoWan Kim
Keyword(s):  
Information Services ◽  
Web Information ◽  
Researcher Network

Clustering Web Information Services

2007 ◽  
pp. 34-55 ◽  
Author(s):  
Athena Vakali ◽  
George Pallis ◽  
Lefteris Angelis
Keyword(s):  
Data Mining ◽  
Data Management ◽  
Information Sources ◽  
Theoretical Background ◽  
Information Services ◽  
Information Availability ◽  
Web Information ◽  
Information Circulation ◽  
The Web ◽  
Management Issues

The explosive growth of the Web scale has drastically increased information circulation and dissemination rates. As the number of both Web users and Web sources grows significantly everyday, crucial data management issues, such as clustering on the Web, should be addressed and analyzed. Clustering has been proposed towards improving both the information availability and the Web users’ personalization. Clusters on the Web are either users’ sessions or Web information sources, which are managed in a variation of applications and implementations testbeds. This chapter focuses on the topic of clustering information over the Web, in an effort to overview and survey on the theoretical background and the adopted practices of most popular emerging and challenging clustering research efforts. An up-to-date survey of the existing clustering schemes is given, to be of use for both researchers and practitioners interested in the area of Web data mining.

Towards Next Generation Web

2010 ◽  
pp. 1-25
Author(s):  
Aylin Akaltun ◽  
Patrick Maisch ◽  
Bernhard Thalheim
Keyword(s):  
World Wide ◽  
New Technologies ◽  
New Technology ◽  
Information Services ◽  
User Models ◽  
Web Information ◽  
The World ◽  
The Right ◽  
The Web

The rapid growth of information demands that new technologies make the right information available to the right user. The more unspecified content published, the more general usability of the World Wide Web is lost. The next generation‘s Web information services will have to be more adaptive to keep the web usable. User demands for knowledge reflecting his or her life case, specific intentions, and therefore a particular quality of content must be served in an understandable way. As a possible solution, the authors present a new technology that matches content against particular life cases, user models and contexts. In a first approach the authors give a quick overview of knowledge, the way it is perceived and an example application dealing with content matching and different views of information required for different kinds of audiences.

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