EFFICIENT WEB-INFORMATION RETRIEVAL SYSTEMS AND WEB SEARCH ENGINES: A SURVEY

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1 International Journal of Mechanical Engineering and Technology (IJMET) Volume 8, Issue 12, December 2017, pp , Article ID: IJMET_08_12_061 Available online at ISSN Print: and ISSN Online: IAEME Publication Scopus Indexed EFFICIENT WEB-INFORMATION RETRIEVAL SYSTEMS AND WEB SEARCH ENGINES: A SURVEY Y. Vijay Bhaskar Reddy Department of CSE, Vardhaman College of engineering, Shamshabad S. Nagarjuna Reddy Department of CSE, Vardhaman College of engineering, Shamshabad Dr S.Sai Satya Narayana Reddy Principal, Vardhaman College of engineering, Shamshabad ABSTRACT: Information retrieval systems (IRS) could be a field involved with the structure, organization, Analysis, searching, storage, and retrieval of knowledge. The search engine is that internally uses of IR techniques. An online computer programmer could be a tool that enables individuals to search out info on the web. Search engines area unit perpetually building and change their index to the world wide net. During this paper we have a tendency to review search engines and their architectures briefly and recommend some tips for the users. Keywords: web-information, web search engines Cite this Article: Y. Vijay Bhaskar Reddy, S. Nagarjuna Reddy and Dr S.Sai Satya Narayana Reddy, Efficient Web-Information Retrieval systems and Web Search Engines: A Survey, International Journal of Mechanical Engineering and Technology 8(12), 2017, pp INTRODUCTION: Information retrieval systems (IRS) may be a field involved with the structure, organization, Analysis, searching, storage, and retrieval of knowledge. (Salton, 1968). Information retrieval includes a large vary of knowledge and a range of applications associated with search. Applications of knowledge retrieval involve multimedia system documents with structure, important text content, and different media. In style info media embrace video and audio, as well as music and speech, pictures. Dimensions of IR are listed in table one editor@iaeme.com

2 Y. Vijay Bhaskar Reddy, S. Nagarjuna Reddy and Dr S.Sai Satya Narayana Reddy Table 1 Some dimensions of information retrieval [1] Examples of Content Examples of Applications Examples of Tasks Plain Text Web search Adhoc search JPEG Vertical search filtering Streaming Enterprise search classification Scanned documents Desktop search Question answering MPEG Peer to peer search music A search engine is that the employment of IR techniques. An online program could be a tool that enables folks to seek out info on the World Wide Web. Relevance is that the one in every of the vital issue within the era of business net search engines. Relevancy is a vital and elementary idea in info retrieval. Relevant document contains the knowledge that someone was searching for once they submitted a question to the program. Search engines are perpetually building and change their index to the globe wide net. Spiders are accustomed crawl the net and fetch sites. The words employed in these sites are supplementary to the index in conjunction with wherever the words came from.search engines are available in variety of configurations. The search engines, should be ready to crawl, several terabytes of information, and may give sub second response times to countless queries submitted on a daily basis. To engineer an online computer program could be a difficult task. Net Search engines index many countless websites. In 1994, one in every of the primary net search engines, the globe Wide net Work (WWWW) had an index of one hundred 110,000 websites and documents [2]. With the increasing range of users on the online, and thanks to automatic systems that question search engines, high search engines square measure handling many countless queries per day. Today, most of the search engines square measure primarily based within the society is specialized for English. The users search documents by predefined words. However, there square measure alternative search engines in alternative languages like Chinese, Korean, and Japanese. There are some issues when users use the interface of a search engine. 1. The users do not understand how to provide a query to perform Search. 2. The users may get unexpected answers and is not aware of the input requirement of the search engine. 3. The user cannot perform advanced searching as they don t understand Boolean logic. 4. Most of the users only look at the first page of the result, so relevant answers might be skipped. [3] Here are the some pointers serving to users to look. 1. Specify the words with none ambiguity 2. Offer several connected terms as doable 3. Some search engines area unit specialized in some areas. 4. While providing long queries to search prefer web directories. 2. ARCHITECTURE OF SEARCH ENGINES Most search engines use web crawler based indexing architecture. This section discusses architecture of search engines. Architecture is designed to ensure that a system will satisfy the application requirements or goals. The main objectives of a search engine are: editor@iaeme.com

3 Efficient Web-Information Retrieval systems and Web Search Engines: A Survey Reliability (quality): We want to be able to retrieve the most relevant set of documents possible for a query. Performance (speed): We want to process queries from users as quickly as possible [4] Following are the functionalities that are performed by the search engine 1. The search engine search for the keyword in the index for predefined database 2. The crawler search for the information in the database. 3. Once crawler finds the pages, the search engine then shows the relevant web pages as a result. Search engine components support two major functions. 1. Indexing 2. Querying. The indexing builds the structures which enable searching, and the query process list of documents based on ranks. The querying builds how the particular query has to be analyzed by search engines. Figure 1 Index process Figure 2 query process editor@iaeme.com

4 Y. Vijay Bhaskar Reddy, S. Nagarjuna Reddy and Dr S.Sai Satya Narayana Reddy Following are the several search engines available today: Table 2 Search engines Search Engine Google Bing Ask Baidu AOL.Search Description It is the most popular search engine globally. It was launched in 2009 by Microsoft. It is the latest web-based search engine that also delivers Yahoo s results. It was launched in 1996 and was originally known as Ask Jeeves. It includes support for match, dictionary, and conversation question. It was launched by Baidu Since It is powered by Google AltaVista Architecture The crawler run on a neighborhood machine and sends requests to the remote servers. The index is employed to answer queries from users. The subsequent figure shows AltaVista s software package design. The primary half consists of the interface and therefore the query engine. The second half contains the crawler and therefore the skilled worker [5] Figure 3 Architecture of AltaVista search engine Google Google Search, also referred to as Google Web Search or simply Google, It is the widely used search engine on the web handling over billion searches day after day. As of Feb 2016, it's the foremost used web search engine in United States with almost 64% market share. The order of search results came back by Google relies, in part, on a priority rank system referred to as page rank. The word Google comes from the word googol, which is equal to [6]Almost 64.0% of searches were powered by Google and 21.4% by Bing. Google is additionally dominating the mobile or tablet based search engine market share with 89%. The architecture is shown in the Figure editor@iaeme.com

5 Efficient Web-Information Retrieval systems and Web Search Engines: A Survey Google indexes many terabytes of data from sites. For websites that area presently down or otherwise not presents on the market, Google provides links to cached versions of the location, fashioned by the search engine's latest indexing of that page.in addition, Google indexes some file sorts, having the ability to point out users PDFs, Word documents, surpass spreadsheets, PowerPoint displays, sure Flash transmission content, and plain text files. Users also can activate "Safe Search", a filtering technology geared toward preventing express and pornographic content from showing in search results. In 2012, Google modified its searching tools to assign sites that had been suspect of piracy. Despite Google search's vast index, sources typically assume that Google is merely assortment but five-hitter of the entire net, with the remainder happiness to the Deep Web, inaccessible through its search tools Bing Bing is Microsoft s arrange to challenge Google within the space of search however despite their efforts they still didn't manage to convert users that their computer program will turn out higher results than Google search Engine Ask.com Formerly referred to as raise Jeeves, receives or so three-dimensional of the search share. It relies on a question/answer format wherever most queries are answered by different users are within the type of polls. It conjointly has the overall search practicality however the results came lack quality compared to Google or maybe Bing and Yahoo Baidu It was launched in Beijing, China in 2000.It launched news search engine and picture search engine.it is the first in China to offer wireless application protocol (WAP) and Personal Digital Assistance (PDA) mobile search. It is the largest search engine in the world as of April AOL Search The full form of AOL is American online is a web portal and also popular online provider in mid 1990 s.it is most popular on the web in United States. It initially provided dial up services like and instant messaging then later it became very popular as a Browser editor@iaeme.com

6 Y. Vijay Bhaskar Reddy, S. Nagarjuna Reddy and Dr S.Sai Satya Narayana Reddy 3. CONCLUSION Information on the web is various in content and occupation to the various info want of users may be a massive challenge. Search engines area unit used for info retrieval on the net. During this analysis paper we have a tendency to found that the users on the average use 2 to 3 keywords question for net search and there's vocabulary gap between user query and keywords employed in the document. REFERENCES [1] W. Bruce Croft et.al Search Engines Information Retrieval in Practice, Pearson education 2015 [2] McBryan 94 Oliver A. McBryan. GENVL and WWWW: Tools for Taming the Web. First International Conference on the World Wide Web. CERN, Geneva (Switzerland), May [3] Sunny lam, The Overview of Web Search Engines, February 2001 [4] J Pei, Information retrieval and web search architecture, Lecture slides, 2017 [5] R. Baeza-Yates and B. Ribeiro-Neto. Modern Information Retrieval. Addison Wesley, New York, NY, USA, 1999 [6] Comscore report, February 2016 [7] Enhanced Query Expansion For Web Information Retrieval, Dr. Ramesh Shahabadkar, Y. Vijaya Bhaskar Reddy, BSS. Murali Krishna and T. Durga Devi, International Journal of Civil Engineering and Technology, 8(8), 2017, pp [8] Rahul Shankarrao Khokale, Mohammad Atique, Web Information Retrieval using Automatic Multi-Document Summarization, International Journal of Computer Engineering & Technology (IJCET), Volume 5, Issue 3, March (2014), pp [9] V.Raju and Dr. N.Srinivasan, Web Search Personalization: A Survey, International Journal of Computer Engineering & Technology (IJCET), Volume 5, Issue 6, June (2014), pp editor@iaeme.com