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Ontology based Similarity Measure in Document Ranking

by Sridevi.U.K, Nagaveni .N
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 26
Year of Publication: 2010
Authors: Sridevi.U.K, Nagaveni .N
10.5120/469-774

Sridevi.U.K, Nagaveni .N . Ontology based Similarity Measure in Document Ranking. International Journal of Computer Applications. 1, 26 ( February 2010), 125-129. DOI=10.5120/469-774

@article{ 10.5120/469-774,
author = { Sridevi.U.K, Nagaveni .N },
title = { Ontology based Similarity Measure in Document Ranking },
journal = { International Journal of Computer Applications },
issue_date = { February 2010 },
volume = { 1 },
number = { 26 },
month = { February },
year = { 2010 },
issn = { 0975-8887 },
pages = { 125-129 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume1/number26/469-774/ },
doi = { 10.5120/469-774 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:48:58.807916+05:30
%A Sridevi.U.K
%A Nagaveni .N
%T Ontology based Similarity Measure in Document Ranking
%J International Journal of Computer Applications
%@ 0975-8887
%V 1
%N 26
%P 125-129
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents a methodology for the ontology based semantic annotation of web pages with annotation weighting scheme that takes advantage of the different relevance of structured document fields. The retrieval model is based on the importance factors of the structural elements, which are used to re-rank the documents retrieval by the ontology based distance measure. The relevance concept similarity are combined with the annotation-weighting scheme to improve the relevance measures. The proposed method has been evaluated on USGS Science directory collection. Preliminary experiments results show that our method may generate relevant document in the top rank.

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Index Terms

Computer Science
Information Sciences

Keywords

Ontology Annotation Semantic Search Document Ranking

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