M.Tech / M.E / PhD Thesis | Computer Science & Engineering | India | Volume 5 Issue 11, November 2016
Automatic Retrieval System for Domain Specific Hidden Web Database
Megha Saini, Dr. Mukesh Rawat
As the size of WWW is growing daily, lots of relevant information are available in the form of hypertext in WWW. Users can view publicalyindexible pages of any web portal and some information viewed after filling of the appropriate search interfaces. Vast information is available behind the search interfaces known as hidden data. Different search engines are using different techniques for fetching such deep information from the WWW and sent to the users according to their queries. The purpose of fetching such deep information is to provide a large set of relevant result to the user according to their search query. In this paper, a new and innovative methodology suggested for automatic filling of search forms and then submit the form to the WWW and collect the response pages which will be send back after automatic submission of the form and then filter out relevant pages from these response pages according to the user query.
Keywords: Search engine, crawlers, hidden deep web
Edition: Volume 5 Issue 11, November 2016
Pages: 1962 - 1963
How to Cite this Article?
Megha Saini, Dr. Mukesh Rawat, "Automatic Retrieval System for Domain Specific Hidden Web Database", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=ART20163267, Volume 5 Issue 11, November 2016, 1962 - 1963
112 PDF Views | 105 PDF Downloads
Similar Articles with Keyword 'Search engine'
Paid and Non-Paid Marketing Strategies for Search Engine Optimization
Elton D'souza; Gursheen Grewal; Divya Unnikrishnan; Neelam Phadnis
Smart Type-Ahead Search in XML
Supriya. N. Chaudhari, Vaishali M. Deshmukh
Extract Entities with Iknoweb Framework
Utkarsha Daradmare, Bhushan Ugale
A Survey Paper on To Retrieve the Relevant Images according to Re-Ranking of Images with Click based Similarity and Typicality
Deepak B. Waghchaure, K. N. Shedge
Developing an Effective System for Keyword Based Query Processing
Ashwini P. Kshirsagar, G.M.Bhandari
Similar Articles with Keyword 'crawlers'
A Survey on Types of Crawlers and Web Searching Algorithms
T. Yogameera, Dr. D. Shanthi
Survey on Fast and Intelligent Deep Web Crawler Using Machine Learning Approach
Focused and Adaptive Crawling for Topic Specific and Hidden Web Entries
Vrutuja Pande, Pratap Singh
Web Crawler: Essential Component of Search Engine
Akshada K. Dhakade, Deepak C. Dhanwani
Self-Adaptive Focused Crawler Using Ontology
Pallavi Wadibhasme, Nitin Shivale