Retrieving Best Web Pages Using Genetic Algorithm

Abstract

 This paper is concerned with extraction of top web pages from the search engine. We use an effective algorithm for extracting the target file from the search engine. The majority of search engines like Google provide search consequence using the key terms. In this we extract the top web pages by forming keywords as set of queries with a high performance. We describe our approach for ontology extraction for an existing knowledge base of web pages and we use the word net tool for identifying the Synonymous of the given queries. As an example, the simple keyword “CAR” also have the other synonyms is “AUTOMOBILES”.

Authors and Affiliations

M. Kirankumar

Keywords

Related Articles

Survey for Mining Biomedical data from HTTP

Medical informatics has been rapidly growing in the technology of health care it seems that medical informatics the ever- changing and ever-broadening mass of information concerning diseases as well as the maintenance...

 DESIGN AND ANALYSIS OF M.S ROLLER IN SHEET METAL ROLLING MACHINE

 Metal forming can be defined as a process in which the desired size and shapes are obtained through plastic deformation of a material without any significance loss of material. Bending is a metal forming proce...

Optimisation And Method

One of the most critical factors in developing pharmaceutical drug substances and analytical test methods used to analyze pharmaceutical products should generate valid and meaningful data in terms of reliability, accur...

DESIGN AND STRESS ANALYSIS OF PRESSURE VESSEL BY USING ANSYS

The pressure vessel is one of a large number of plant components for which stress analyses must be performed. A pressure vessel experiences mainly two types of stresses, primary stresses and secondary stresses. Primary...

 Tire Inflation Rate Modeling

 This paper will examine in detail the conditions of correctly inflated tire pressure that gives appropriate support from the contained air pressure to provide an even distribution of load across the footprint and...

Download PDF file
  • EP ID EP89776
  • DOI -
  • Views 71
  • Downloads 0

How To Cite

M. Kirankumar (30).  Retrieving Best Web Pages Using Genetic Algorithm. International Journal of Engineering Sciences & Research Technology, 3(7), 423-424. https://europub.co.uk./articles/-A-89776