Web Image Context Extraction Based on Semantic Representation of Web Page Visual Segments

Author(s):  
Georgina Tryfou ◽  
Zenonas Theodosiou ◽  
Nicolas Tsapatsoulis
Author(s):  
Subalalitha C. N. ◽  
Balaji J.

Summary generation systems when integrated with Information Retrieval (IR) can give an idea about the retrieved web pages to the user before even the user opens the web page. The summary could be generated for a single web page or for a set of web pages retrieved for a given query. When such a system is built for tourism web sites, the user can get a summary of a particular tourist spot or about the tourist spots present in a particular place. This chapter describes about such a summary generation system which is built using Rhetorical Structure Theory (RST). RST is a well-known discourse theory which is used for discourse analysis of text documents. The RST makes use of another semantic representation namely, Universal Networking Language (UNL) to find the coherent text fragments. These coherent text fragments are indexed and linked with an IR system. When a user gives a query, the web pages along with a single document and multi document summary.


2005 ◽  
Author(s):  
Aaron W. Bangor ◽  
James T. Miller
Keyword(s):  

2020 ◽  
Vol 140 (12) ◽  
pp. 1393-1401
Author(s):  
Hiroki Chinen ◽  
Hidehiro Ohki ◽  
Keiji Gyohten ◽  
Toshiya Takami

Author(s):  
Gursimran Singh ◽  
Harpreet Kaur

With the growth of website content it is become difficult to manage relations between Individual webpage and keep track of their hyperlinks within a website. This causes some Hyperlink become dead or broken. A broken Link  is a  link on a web page that no longer works. It is difficult to find out the broken link manually by checking each hyperlink individually because it is time consuming and tedious work. So to eliminate this we can use the selenium web driver tool and java code to automate testing of each hyperlink individually. The objective of this thesis is to automate finding of broken links using selenium web driver tool.


1997 ◽  
Vol 1 (3) ◽  
pp. 15-25
Author(s):  
Michael F. Hull
Keyword(s):  

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