A Framework for Ontology Based Rule Acquisition from Web Documents

A Method of Readability Assessment for Web Documents Using Text Features and HTML Structures

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.132.1524 ◽

2012 ◽

Vol 132 (9) ◽

pp. 1524-1532

Author(s):

Takahiro Yamasaki ◽

Kin-ichiroh Tokiwa

Keyword(s):

Web Documents ◽

Text Features ◽

Readability Assessment

Download Full-text

Learning to Generate Optimized Term Weighting for Web Documents Classification - A Parallel Mimetic Approach Based on Support Vector Machines

International Review on Computers and Software (IRECOS) ◽

10.15866/irecos.v11i12.10964 ◽

2016 ◽

Vol 11 (12) ◽

pp. 1147

Author(s):

Abderrahmane Bendahmane ◽

Abdelkader Benyettou

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Term Weighting ◽

Web Documents ◽

Vector Machines

Download Full-text

A FRAME WORK FOR WEB INFORMATION EXTRACTION AND ANALYSIS

INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY ◽

10.24297/ijct.v7i2.3459 ◽

2013 ◽

Vol 7 (2) ◽

pp. 574-579 ◽

Cited By ~ 3

Author(s):

Dr Sunitha Abburu ◽

G. Suresh Babu

Keyword(s):

Information Extraction ◽

Data Extraction ◽

Research Work ◽

Web Pages ◽

Web Documents ◽

E Learning ◽

Structured Information ◽

Frame Work ◽

Effective Decision ◽

The Web

Day by day the volume of information availability in the web is growing significantly. There are several data structures for information available in the web such as structured, semi-structured and unstructured. Majority of information in the web is presented in web pages. The information presented in web pages is semi-structured.Â But the information required for a context are scattered in different web documents. It is difficult to analyze the large volumes of semi-structured information presented in the web pages and to make decisions based on the analysis. The current research work proposed a frame work for a system that extracts information from various sources and prepares reports based on the knowledge built from the analysis. This simplifies Â data extraction, data consolidation, data analysis and decision making based on the information presented in the web pages.The proposed frame work integrates web crawling, information extraction and data mining technologies for better information analysis that helps in effective decision making.Â Â It enables people and organizations to extract information from various sourses of web and to make an effective analysis on the extracted data for effective decision making.Â The proposed frame work is applicable for any application domain. Manufacturing,sales,tourisum,e-learning are various application to menction few.The frame work is implemetnted and tested for the effectiveness of the proposed system and the results are promising.

Download Full-text