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Article:Survey on Information Retrieval in Semi Structured Data

by Dayananda P, Dr. Rajashree Shettar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 32 - Number 8
Year of Publication: 2011
Authors: Dayananda P, Dr. Rajashree Shettar
10.5120/3921-5524

Dayananda P, Dr. Rajashree Shettar . Article:Survey on Information Retrieval in Semi Structured Data. International Journal of Computer Applications. 32, 8 ( October 2011), 1-5. DOI=10.5120/3921-5524

@article{ 10.5120/3921-5524,
author = { Dayananda P, Dr. Rajashree Shettar },
title = { Article:Survey on Information Retrieval in Semi Structured Data },
journal = { International Journal of Computer Applications },
issue_date = { October 2011 },
volume = { 32 },
number = { 8 },
month = { October },
year = { 2011 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume32/number8/3921-5524/ },
doi = { 10.5120/3921-5524 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:18:37.071768+05:30
%A Dayananda P
%A Dr. Rajashree Shettar
%T Article:Survey on Information Retrieval in Semi Structured Data
%J International Journal of Computer Applications
%@ 0975-8887
%V 32
%N 8
%P 1-5
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The rapid progress of network and storage technologies has led to a huge amount of electronic data such as webpages and XML data has been available on intra and internet. These electronic data are heterogeneous collection of ill-structured data that have no rigid structure, and are often called semi-structure data. These semi-structured data are stored in large repositories (XML databases) and stored as a graph internally in database with tuple as nodes and relationships as edges. As there is ever-growing availability of semi-structured information on web and digital libraries, there is a need of effective keyword search in order to fetch the correct and proximal result on Semi-Structured Data. This paper conducts a survey on how key word search can be performed on semi structure data, techniques involved in performing it, various result ranking strategies and result analysis techniques. It includes the analysis of various indexing schemes and different approaches for increase performance using caches for XML data in order to answer queries.

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Index Terms

Computer Science
Information Sciences

Keywords

XML ranking Indexing keyword search

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