Efficient Document Retrieval using Annotation, Searching and Ranking
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10.5120/18904-0198 |
Sonal Kutade and Poonam Dhamal. Article: Efficient Document Retrieval using Annotation, Searching and Ranking. International Journal of Computer Applications 108(5):1-3, December 2014. Full text available. BibTeX
@article{key:article,
author = {Sonal Kutade and Poonam Dhamal},
title = {Article: Efficient Document Retrieval using Annotation, Searching and Ranking},
journal = {International Journal of Computer Applications},
year = {2014},
volume = {108},
number = {5},
pages = {1-3},
month = {December},
note = {Full text available}
}
Abstract
It is always difficult to find relevant information in unstructured text documents. In this paper we study the methods of fuzzy search, instant search and proximity ranking and how they can be used in the process of annotation of documents. These various methods can be integrated to give better search results and to achieve efficient space and time complexities. We propose a novel alternative approach which facilitates the generation of the structured metadata automatically using OpenNLP, methods of Instant-fuzzy search and Proximity ranking. It is done by identifying documents which are likely to contain the information of interest. And this information will be subsequently useful for querying the database.
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