Research Cell: An International Journal of Engineering Sciences

Dharminder Singh ¹, Ashwani Sethi ¹

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

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.

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Dharminder Singh ¹, Ashwani Sethi ¹

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

Abstract

In an information retrieval system Keyword Based search is a dominant method. Keywords Based search used to retrieve information from the web pages by Search Engines. Search Engine target the some content of website to find relevant information and rank a website in search result. Keywords matters for both Search Engines as well as Websites. Websites also used keywords to produce quality to users and to become popular. Website design is more responsible for website quality and popularity. From development of website to query design and till search performed by Search Engines, keywords considered as central point of information retrieval system. Sometime an appropriate single keyword can extract more information than multiple words. So from Website development to searching with query everywhere a proper keyword is required most. Keyword Based Search causes for spamming techniques such as Black Hat techniques, which used to break the rules of Search Engine, to give a high rank of a website illegally in SERP. Query keywords are used as a weapon to extract information from web by Search Engines.

Keywords

Internet Information Retrieval, SEO, URL, SERP, Inverted Index.

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Dharminder Singh ¹, Ashwani Sethi ¹

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

Abstract

Internet is a collection of vast information. In the modern internet era everyone search on internet for some information. To explore the internet Search Engines are primary targets. Everyone uses Search Engine from find a name of website to secure information. This vast need of Search Engines makes them an important tool for this challenging task. Generally Search Engine user hits top few results in SERP. Low ranking web pages got less intention of users, so ranking a web page according to their relevant information and popularity is a major task for Search Engine. Search Engines have primary responsibility to search query related information and rank them according to relevant information. This two main task makes a Search Engine popular or most preferable tool to explore internet. On the basis of information retrieval and query handling, Search Engines have two types, Keyword Based Search and Semantic Search. Keyword search directly matches keywords with web pages against the user query and a web page which has most matched keyword density, results high rank in Search Engine results. On the other hand Semantic Search uses knowledge base to extend the user query and adds more words by itself to query. Since the Semantic Search not only depends on user query keywords but also depends on Knowledge Base which gives high quality page results. This research paper presents an analysis of both techniques based on user query keywords.

Keywords

Search Engine Optimization (SEO), Search Engine Results Page (SERP), Website Ranking, Keyword Density, Semantic Search, Keyword Search, Inverted Index.

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