Difference between revisions of "Query Expansion Using Persian Ontology Derived from Wikipedia"
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| + | | title = Query Expansion Using Persian Ontology Derived from Wikipedia | ||
| + | | date = 2009 | ||
| + | | authors = [[Mojgan Farhoodi]]<br />[[Maryam Tayefeh Mahmoudi]]<br />[[Ali Mohammad]]<br />[[Zare Bidoki]]<br />[[Alireza Yari]]<br />[[Mohammad Azadnia]] | ||
| + | | link = http://dl.acm.org/citation.cfm?doid=1458082.1458322 | ||
| + | | plink = https://www.researchgate.net/profile/Alireza_Yari2/publication/255640927_Query_Expansion_Using_Persian_Ontology_Derived_from_Wikipedia/links/544771ed0cf2f14fb811f1c9.pdf | ||
| + | }} | ||
'''Query Expansion Using Persian Ontology Derived from Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2009, written by [[Mojgan Farhoodi]], [[Maryam Tayefeh Mahmoudi]], [[Ali Mohammad]], [[Zare Bidoki]], [[Alireza Yari]] and [[Mohammad Azadnia]]. | '''Query Expansion Using Persian Ontology Derived from Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2009, written by [[Mojgan Farhoodi]], [[Maryam Tayefeh Mahmoudi]], [[Ali Mohammad]], [[Zare Bidoki]], [[Alireza Yari]] and [[Mohammad Azadnia]]. | ||
== Overview == | == Overview == | ||
Identifying topics and concepts associated with a set of documents is a critical task for [[information retrieval]] systems. One approach is to associate a query with a set of topics selected from a fixed [[ontology]] or vocabulary of terms. The core idea of this research is using [[Wikipedia]] articles and associated pages to make a topic ontology for this purpose. The benefit of this method is that Wikipedia is an online free-content encyclopedia which is developed through a social process and kept current by the [[Wikipedia community]]. In this paper the Persian Wikipedia has been analyzed in accordance to its articles and the category link graphs to extract a Persian pseudo-ontology. Thereafter, the created ontology has been applied through a query expansion algorithm to improve the performance of an information retrieval system. Authors experiments show that it is possible to improve the precision of the information retrieval system by queries expansion based on Wikipedia. | Identifying topics and concepts associated with a set of documents is a critical task for [[information retrieval]] systems. One approach is to associate a query with a set of topics selected from a fixed [[ontology]] or vocabulary of terms. The core idea of this research is using [[Wikipedia]] articles and associated pages to make a topic ontology for this purpose. The benefit of this method is that Wikipedia is an online free-content encyclopedia which is developed through a social process and kept current by the [[Wikipedia community]]. In this paper the Persian Wikipedia has been analyzed in accordance to its articles and the category link graphs to extract a Persian pseudo-ontology. Thereafter, the created ontology has been applied through a query expansion algorithm to improve the performance of an information retrieval system. Authors experiments show that it is possible to improve the precision of the information retrieval system by queries expansion based on Wikipedia. | ||
Revision as of 07:17, 30 July 2019
Authors | Mojgan Farhoodi Maryam Tayefeh Mahmoudi Ali Mohammad Zare Bidoki Alireza Yari Mohammad Azadnia |
|---|---|
Publication date | 2009 |
Links | Original Preprint |
Query Expansion Using Persian Ontology Derived from Wikipedia - scientific work related to Wikipedia quality published in 2009, written by Mojgan Farhoodi, Maryam Tayefeh Mahmoudi, Ali Mohammad, Zare Bidoki, Alireza Yari and Mohammad Azadnia.
Overview
Identifying topics and concepts associated with a set of documents is a critical task for information retrieval systems. One approach is to associate a query with a set of topics selected from a fixed ontology or vocabulary of terms. The core idea of this research is using Wikipedia articles and associated pages to make a topic ontology for this purpose. The benefit of this method is that Wikipedia is an online free-content encyclopedia which is developed through a social process and kept current by the Wikipedia community. In this paper the Persian Wikipedia has been analyzed in accordance to its articles and the category link graphs to extract a Persian pseudo-ontology. Thereafter, the created ontology has been applied through a query expansion algorithm to improve the performance of an information retrieval system. Authors experiments show that it is possible to improve the precision of the information retrieval system by queries expansion based on Wikipedia.
