Open Access Open Access  Restricted Access Subscription Access

An Integrated Approach to Search Engine Evolution


Affiliations
1 Guru Gobind Singh College of Engineering and Technology, Guru Kashi University, Talwandi Sabo, Bathinda, Punjab, India
 

Information retrieval systems are backbone of information technology. Everyday millions of users use the internet informational System like Search Engines to retrieve information over the WWW. Search Engine gives a high level abstraction to users over the web. On the basis of searching techniques Search Engine can divide into two broad categories Keyword Based Search and Semantic Search. This research proposes combine architecture of these two searching categories. The Proposed System combines these two techniques on the basis of query categories. This system's design works as a load balancing technique between these two techniques for more accurate and fast results. This system implements both techniques separately for different query category.

Keywords

WWW, URL, SERP, Inverted Index, Ranking, Web Crawler.
User
Notifications
Font Size

Abstract Views: 157

PDF Views: 0




  • An Integrated Approach to Search Engine Evolution

Abstract Views: 157  |  PDF Views: 0

Authors

Dharminder Singh
Guru Gobind Singh College of Engineering and Technology, Guru Kashi University, Talwandi Sabo, Bathinda, Punjab, India
Ashwani Sethi
Guru Gobind Singh College of Engineering and Technology, Guru Kashi University, Talwandi Sabo, Bathinda, Punjab, India

Abstract


Information retrieval systems are backbone of information technology. Everyday millions of users use the internet informational System like Search Engines to retrieve information over the WWW. Search Engine gives a high level abstraction to users over the web. On the basis of searching techniques Search Engine can divide into two broad categories Keyword Based Search and Semantic Search. This research proposes combine architecture of these two searching categories. The Proposed System combines these two techniques on the basis of query categories. This system's design works as a load balancing technique between these two techniques for more accurate and fast results. This system implements both techniques separately for different query category.

Keywords


WWW, URL, SERP, Inverted Index, Ranking, Web Crawler.