%0 Journal Article %1 IJACSA.2013.040701 %A Pooja Arora, Om Vikas %D 2013 %J International Journal of Advanced Computer Science and Applications(IJACSA) %K Hindi RSearch; Relation \& and case document inclusive postpositions; prepositions retrieval; roles. search; spatial temporal %N 7 %T Relation Inclusive Search for Hindi Documents %U http://ijacsa.thesai.org/ %V 4 %X Information retrieval (IR) techniques become a challenge to researchers due to huge growth of digital and information retrieval. As a wide variety of Hindi Data and Literature is now available on web, we have developed information retrieval system for Hindi documents. This paper presents a new searching technique that has promising results in terms of F-measure. Historically, there have been two major approaches to IR - keyword based search and concept based search. We have introduced new relation inclusive search which performs searching of documents using case role relation, spatial relation and temporal relation of query terms and gives results better than previously used approaches. In this method we have used new indexing technique which stores information about relation between terms along with its position. We have compared four types of searching: Keyword Based search without Relation Inclusive, Keyword Based search with Relation Inclusive, Concept Based search without Relation Inclusive and Concept Based search with Relation Inclusive. Our proposed searching method gave significant improvement in terms of F-measure. For experiments we have used Hindi document corpus, Gyannidhi from C-DAC. This technique effectively improves search performance for documents in English as well.

@article{IJACSA.2013.040701, abstract = {Information retrieval (IR) techniques become a challenge to researchers due to huge growth of digital and information retrieval. As a wide variety of Hindi Data and Literature is now available on web, we have developed information retrieval system for Hindi documents. This paper presents a new searching technique that has promising results in terms of F-measure. Historically, there have been two major approaches to IR - keyword based search and concept based search. We have introduced new relation inclusive search which performs searching of documents using case role relation, spatial relation and temporal relation of query terms and gives results better than previously used approaches. In this method we have used new indexing technique which stores information about relation between terms along with its position. We have compared four types of searching: Keyword Based search without Relation Inclusive, Keyword Based search with Relation Inclusive, Concept Based search without Relation Inclusive and Concept Based search with Relation Inclusive. Our proposed searching method gave significant improvement in terms of F-measure. For experiments we have used Hindi document corpus, Gyannidhi from C-DAC. This technique effectively improves search performance for documents in English as well.}, added-at = {2014-02-21T08:00:08.000+0100}, author = {{Pooja Arora}, Om Vikas}, biburl = {https://www.bibsonomy.org/bibtex/2959a7b09ebcbf1f06e2e01e31a2d3f39/thesaiorg}, interhash = {67133b0c75a29d903703fde891061742}, intrahash = {959a7b09ebcbf1f06e2e01e31a2d3f39}, journal = {International Journal of Advanced Computer Science and Applications(IJACSA)}, keywords = {Hindi RSearch; Relation \& and case document inclusive postpositions; prepositions retrieval; roles. search; spatial temporal}, number = 7, timestamp = {2014-02-21T08:00:08.000+0100}, title = {{Relation Inclusive Search for Hindi Documents}}, url = {http://ijacsa.thesai.org/}, volume = 4, year = 2013 }