Share
web dynamics: adapting to change in content, size, topology and use (in English)
Mark Levene
(Illustrated by)
·
Alexandra Poulovassilis
(Illustrated by)
·
Springer
· Paperback
web dynamics: adapting to change in content, size, topology and use (in English) - Levene, Mark ; Poulovassilis, Alexandra
$ 160.11
$ 169.00
You save: $ 8.89
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My WishlistsIt will be shipped from our warehouse between
Monday, June 17 and
Tuesday, June 18.
You will receive it anywhere in United States between 1 and 3 business days after shipment.
Synopsis "web dynamics: adapting to change in content, size, topology and use (in English)"
The World Wide Web has become a ubiquitous global tool, used for finding infor- mation, communicating ideas, carrying out distributed computation and conducting business, learning and science. The Web is highly dynamic in both the content and quantity of the information that it encompasses. In order to fully exploit its enormous potential as a global repository of information, we need to understand how its size, topology and content are evolv- ing. This then allows the development of new techniques for locating and retrieving information that are better able to adapt and scale to its change and growth. The Web's users are highly diverse and can access the Web from a variety of devices and interfaces, at different places and times, and for varying purposes. We thus also need techniques for personalising the presentation and content of Web- based information depending on how it is being accessed and on the specific user's requirements. As well as being accessed by human users, the Web is also accessed by appli- cations. New applications in areas such as e-business, sensor networks, and mobile and ubiquitous computing need to be able to detect and react quickly to events and changes in Web-based information. Traditional approaches using query-based 'pull' of information to find out if events or changes of interest have occurred may not be able to scale to the quantity and frequency of events and changes being generated, and new 'push' -based techniques are needed.
