NDLI: Web pages Classification Using Domain Ontology and Clustering

Content Provider	IEEE Xplore Digital Library
Author	Soltani, Sima Barforoush, Ahmad Abdollahzadeh
Copyright Year	2007
Abstract	Transferring the current Websites to Semantic Websites, using ontology population, is a research area within which classification has the main role. The existing classification algorithms and single level execution of them are insufficient on web data. Moreover, because of the variety in the context and structure of even common domain Websites, there is a lack of training data. In this paper we had three experiences: 1- using information in domain ontology about the layers of classes to train classifiers (layered classification) with improvement up to 10% on accuracy of classification. 2- experience on problem of training dataset and using clustering as a preprocess. 3- using ensembles to benefit from both two methods. Beside the improvement of accuracy from these experiences, we found out that with ensemble we can dispense with the algorithm of classification and use a simple classification like Naïve Bayes and have the accuracy of complex algorithms like SVM.
Starting Page	242
Ending Page	246
File Size	1365193
Page Count	5
File Format	PDF
ISBN	0769530729
e-ISBN	9780769530727
DOI	10.1109/CIS.2007.205
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-12-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Semantic Web Support vector machines Web pages Clustering algorithms Training data Support vector machine classification Ontologies Classification algorithms Intelligent systems Computational intelligence
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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