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Automatic Repeated Rule Acquisition from Similar Web Sites using Rule Ontology

by Soumya. S, H. Swathi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 66 - Number 16
Year of Publication: 2013
Authors: Soumya. S, H. Swathi
10.5120/11168-6321

Soumya. S, H. Swathi . Automatic Repeated Rule Acquisition from Similar Web Sites using Rule Ontology. International Journal of Computer Applications. 66, 16 ( March 2013), 17-22. DOI=10.5120/11168-6321

@article{ 10.5120/11168-6321,
author = { Soumya. S, H. Swathi },
title = { Automatic Repeated Rule Acquisition from Similar Web Sites using Rule Ontology },
journal = { International Journal of Computer Applications },
issue_date = { March 2013 },
volume = { 66 },
number = { 16 },
month = { March },
year = { 2013 },
issn = { 0975-8887 },
pages = { 17-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume66/number16/11168-6321/ },
doi = { 10.5120/11168-6321 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:22:34.603786+05:30
%A Soumya. S
%A H. Swathi
%T Automatic Repeated Rule Acquisition from Similar Web Sites using Rule Ontology
%J International Journal of Computer Applications
%@ 0975-8887
%V 66
%N 16
%P 17-22
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The Semantic Web, which is the basic component of two websites Web 2. 0 and Web 3. 0, it is a development of the World Wide Web in which the semantics of information and services on the Web are defined. Inferential rules can be a quality source of rule acquisition. Rule acquisition is an important as ontology acquisition, even though rule acquisition is still a slowdown process in the deployment of rule-based systems. However, sometimes rules have already been implied in Web pages, and it is possible to acquire them from Web pages in the same manner as ontology learning. In the rule acquisition procedure that automates repeated rule acquisition from similar sites by using the rule ontology RuleToOnto. Before rule acquisition procedure, this paper proposed a screening method for automatically extract rules parts from web pages. RuleToOnto procedure, which is extracts rules from various domains and web pages not particular domain. This rule acquisition procedure includes various domains and webpage's. The results show that this ontology model is successful.

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Index Terms

Computer Science
Information Sciences

Keywords

Data mining Rule acquisition Rule ontology Best-First Search (A* Algorithm)

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