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Ontological Semi Automatic Method for Web Data Tables Integration

by B.gowthamipriya Darsini, B.hanmanthu
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 107 - Number 9
Year of Publication: 2014
Authors: B.gowthamipriya Darsini, B.hanmanthu
10.5120/18783-0109

B.gowthamipriya Darsini, B.hanmanthu . Ontological Semi Automatic Method for Web Data Tables Integration. International Journal of Computer Applications. 107, 9 ( December 2014), 44-48. DOI=10.5120/18783-0109

@article{ 10.5120/18783-0109,
author = { B.gowthamipriya Darsini, B.hanmanthu },
title = { Ontological Semi Automatic Method for Web Data Tables Integration },
journal = { International Journal of Computer Applications },
issue_date = { December 2014 },
volume = { 107 },
number = { 9 },
month = { December },
year = { 2014 },
issn = { 0975-8887 },
pages = { 44-48 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume107/number9/18783-0109/ },
doi = { 10.5120/18783-0109 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:40:39.625296+05:30
%A B.gowthamipriya Darsini
%A B.hanmanthu
%T Ontological Semi Automatic Method for Web Data Tables Integration
%J International Journal of Computer Applications
%@ 0975-8887
%V 107
%N 9
%P 44-48
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, we are presenting a model for implementation of ontology through invoking a semi- automatic process from web data tables. The singularity of this method is the implementation of cosine similarity for filtering the documents. We present the framework for the development of generic method concerning data integration. The data warehouse is composed of several data tables extracted from the web and it has been supplemented by the existing local data sources. Documents pertaining to different domains can be supplemented as input to the data sources which are stored in data ware house and then are converted into XML/RDF data. We have used cosine similarities to measure the similarity of two documents which are likely to be same in terms of their subjects. It is a semi automatic method to extract and integration of web documents by using ontology.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Ontology XML/RDF SPARQL Cosine similarity.

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