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Search Engines Going beyond Keyword Search: A Survey

by Mahmudur Rahman
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 75 - Number 17
Year of Publication: 2013
Authors: Mahmudur Rahman
10.5120/13200-0357

Mahmudur Rahman . Search Engines Going beyond Keyword Search: A Survey. International Journal of Computer Applications. 75, 17 ( August 2013), 1-8. DOI=10.5120/13200-0357

@article{ 10.5120/13200-0357,
author = { Mahmudur Rahman },
title = { Search Engines Going beyond Keyword Search: A Survey },
journal = { International Journal of Computer Applications },
issue_date = { August 2013 },
volume = { 75 },
number = { 17 },
month = { August },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume75/number17/13200-0357/ },
doi = { 10.5120/13200-0357 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:44:29.896517+05:30
%A Mahmudur Rahman
%T Search Engines Going beyond Keyword Search: A Survey
%J International Journal of Computer Applications
%@ 0975-8887
%V 75
%N 17
%P 1-8
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In order to solve the problem of information overkill on the web or large domains, current information retrieval tools especially search engines need to be improved. Much more intelligence should be embedded to search tools to manage the search and filtering processes effectively and present relevant information. As the web swells with more and more data, the predominant way of sifting through all of that data —keyword search —will one day break down in its ability to deliver the exact information people want at our fingertips. Hence search engines are trying to break the shackles of the concept of keyword search what typically most search engines do. This paper tries to identify the major challenges for today's keyword search engines to adapt with the fast growth of web and support comprehensive user demands in quick time. Then it surveys different non-keyword based paradigms proposed, developed or implemented by researchers and different search engines and also classifies those approaches according to the features focused by the different search engines to deliver results.

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Index Terms

Computer Science
Information Sciences

Keywords

keyword based search semantic web search search engine computational knowledge engine question-answering system

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