GRAMMAR RULE BASED INFORMATION RETRIEVAL MODEL FOR BIG DATA
Though Information Retrieval (IR) in big data has been an active field of research for past few years; the popularity of the native languages presents a unique challenge in big data information retrieval systems. There is a need to retrieve information which is present in English and display it in t...
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ICT Academy of Tamil Nadu
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doaj-0ecc1fd427e1482dbaac5ce9da40f9ff2020-11-24T21:56:16ZengICT Academy of Tamil NaduICTACT Journal on Soft Computing0976-65612229-69562015-07-015410271034GRAMMAR RULE BASED INFORMATION RETRIEVAL MODEL FOR BIG DATAT. Nadana Ravishankar0Dinesh Mavaluru1R. Jayabrabu2B.S. Abdur Rahman University, IndiaSaudi Electronic University, Kingdom of Saudi ArabiaJazan University, Kingdom of Saudi ArabiaThough Information Retrieval (IR) in big data has been an active field of research for past few years; the popularity of the native languages presents a unique challenge in big data information retrieval systems. There is a need to retrieve information which is present in English and display it in the native language for users. This aim of cross language information retrieval is complicated by unique features of the native languages such as: morphology, compound word formations, word spelling variations, ambiguity, word synonym, other language influence and etc. To overcome some of these issues, the native language is modeled using a grammar rule based approach in this work. The advantage of this approach is that the native language is modeled and its unique features are encoded using a set of inference rules. This rule base coupled with the customized ontological system shows considerable potential and is found to show better precision and recall.http://ictactjournals.in/paper/IJSC_Paper_5_pp_1027_1034.pdfInformation RetrievalBig DataCross Language Information RetrievalQuery DisambiguationTelugu |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
T. Nadana Ravishankar Dinesh Mavaluru R. Jayabrabu |
spellingShingle |
T. Nadana Ravishankar Dinesh Mavaluru R. Jayabrabu GRAMMAR RULE BASED INFORMATION RETRIEVAL MODEL FOR BIG DATA ICTACT Journal on Soft Computing Information Retrieval Big Data Cross Language Information Retrieval Query Disambiguation Telugu |
author_facet |
T. Nadana Ravishankar Dinesh Mavaluru R. Jayabrabu |
author_sort |
T. Nadana Ravishankar |
title |
GRAMMAR RULE BASED INFORMATION RETRIEVAL MODEL FOR BIG DATA |
title_short |
GRAMMAR RULE BASED INFORMATION RETRIEVAL MODEL FOR BIG DATA |
title_full |
GRAMMAR RULE BASED INFORMATION RETRIEVAL MODEL FOR BIG DATA |
title_fullStr |
GRAMMAR RULE BASED INFORMATION RETRIEVAL MODEL FOR BIG DATA |
title_full_unstemmed |
GRAMMAR RULE BASED INFORMATION RETRIEVAL MODEL FOR BIG DATA |
title_sort |
grammar rule based information retrieval model for big data |
publisher |
ICT Academy of Tamil Nadu |
series |
ICTACT Journal on Soft Computing |
issn |
0976-6561 2229-6956 |
publishDate |
2015-07-01 |
description |
Though Information Retrieval (IR) in big data has been an active field of research for past few years; the popularity of the native languages presents a unique challenge in big data information retrieval systems. There is a need to retrieve information which is present in English and display it in the native language for users. This aim of cross language information retrieval is complicated by unique features of the native languages such as: morphology, compound word formations, word spelling variations, ambiguity, word synonym, other language influence and etc. To overcome some of these issues, the native language is modeled using a grammar rule based approach in this work. The advantage of this approach is that the native language is modeled and its unique features are encoded using a set of inference rules. This rule base coupled with the customized ontological system shows considerable potential and is found to show better precision and recall. |
topic |
Information Retrieval Big Data Cross Language Information Retrieval Query Disambiguation Telugu |
url |
http://ictactjournals.in/paper/IJSC_Paper_5_pp_1027_1034.pdf |
work_keys_str_mv |
AT tnadanaravishankar grammarrulebasedinformationretrievalmodelforbigdata AT dineshmavaluru grammarrulebasedinformationretrievalmodelforbigdata AT rjayabrabu grammarrulebasedinformationretrievalmodelforbigdata |
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1725858827987845120 |