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Semantic Search Engine using Joomla Framework with Modified tf-idf and TRApriori Algorithm

by Yogendra Kumar Jain, Payal Saxena, Rustam Singh Rajput
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 52 - Number 16
Year of Publication: 2012
Authors: Yogendra Kumar Jain, Payal Saxena, Rustam Singh Rajput
10.5120/8286-1697

Yogendra Kumar Jain, Payal Saxena, Rustam Singh Rajput . Semantic Search Engine using Joomla Framework with Modified tf-idf and TRApriori Algorithm. International Journal of Computer Applications. 52, 16 ( August 2012), 17-23. DOI=10.5120/8286-1697

@article{ 10.5120/8286-1697,
author = { Yogendra Kumar Jain, Payal Saxena, Rustam Singh Rajput },
title = { Semantic Search Engine using Joomla Framework with Modified tf-idf and TRApriori Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { August 2012 },
volume = { 52 },
number = { 16 },
month = { August },
year = { 2012 },
issn = { 0975-8887 },
pages = { 17-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume52/number16/8286-1697/ },
doi = { 10.5120/8286-1697 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:52:26.379977+05:30
%A Yogendra Kumar Jain
%A Payal Saxena
%A Rustam Singh Rajput
%T Semantic Search Engine using Joomla Framework with Modified tf-idf and TRApriori Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 52
%N 16
%P 17-23
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

As the amount of data available in a repository increases, content retrieval from the huge data stored in the repository becomes a tedious task. Though Content Management System helps us to manage the data, yet searching the relevant data is still a daunting task. For that, we need efficient Search Algorithms for maximizing the correlation between data required and data returned by semantic search engine. Many courseware repositories is an interface through which various students, teachers, etc can access on-line learning material, course contents, presentations, videos, lectures etc. in this paper we present a technique that automatically constructs ontology from the given courseware repositories. A search engine mechanism is developed that provide a semantic search capability based on a modified TF-IDF(term frequency inverse document frequency) weighting scheme and then determines the association among term through TRapriori algorithm. We evaluate our result with custom Google search engine.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Ontology tf-idf TRApriori algorithm

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