Paper Info
Title
A Web Metric Collection and Reporting System
Abstract
The web genre classification distinguishes between pages by means of their features such as style, presentation layout, etc rather than on the topic; improving search results returned to the user by providing genre class of a web page apart from topic. Hence, if a user is able to specify the genre of search like Help, FAQ, Wikipedia etc, chances of getting results in accordance to his interest are high. The classification of web pages into genre is a challenging task as the information is semi-structured, heterogeneous and dynamic. Therefore it is required to find appropriate features which describes web page in the context of genre to increase the genre classification and accuracy of the search result. In this paper we propose a Metric Collection and Reporting System (MCRS) for Web Application, an automated tool designed to collect 126 significant attributes of web pages for genre identification. MCRS collects and reports important style, presentation layout, form, linguistic, lexical and meta-content features of web page. It collects 88 HTML tags metrics clustered in five groups namely Text formatting tags, Document Structure Tags, External object tags, instruction tags and Navigation Tags. MCRS also reports thirty-eight text metrics including punctuation metrics to describe the lexical attributes of the web page. The NLP module has also been integrated into the system to identify linguistic properties of the web content. The MRCS can be used in parallel with topic search to increase the quality of information retrieval through web genre identification.
Year
DOI
Venue
2015
10.1145/2791405.2791561
WCI
Keywords
Field
DocType
Web Page, Web Page Metrics, HTML tags, NLP, genre, web genre, information retrieval
Web design,Static web page,Web development,World Wide Web,Information retrieval,Web page,Computer science,Web standards,Web modeling,Web navigation,Page view
Conference
Citations 
PageRank 
References 
0
0.34
9
Authors
2
Name
Order
Citations
PageRank
Ruchika Malhotra153335.12
Anjali Sharma263.87