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Search Engine: A Backbone for Information Extraction in ICT Scenario

Search Engine: A Backbone for Information Extraction in ICT Scenario

Dilip Kumar Sharma, A. K. Sharma
Copyright: © 2018 |Pages: 16
ISBN13: 9781522531630|ISBN10: 1522531637|EISBN13: 9781522531647
DOI: 10.4018/978-1-5225-3163-0.ch016
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MLA

Sharma, Dilip Kumar, and A. K. Sharma. "Search Engine: A Backbone for Information Extraction in ICT Scenario." The Dark Web: Breakthroughs in Research and Practice, edited by Information Resources Management Association, IGI Global, 2018, pp. 359-374. https://doi.org/10.4018/978-1-5225-3163-0.ch016

APA

Sharma, D. K. & Sharma, A. K. (2018). Search Engine: A Backbone for Information Extraction in ICT Scenario. In I. Management Association (Ed.), The Dark Web: Breakthroughs in Research and Practice (pp. 359-374). IGI Global. https://doi.org/10.4018/978-1-5225-3163-0.ch016

Chicago

Sharma, Dilip Kumar, and A. K. Sharma. "Search Engine: A Backbone for Information Extraction in ICT Scenario." In The Dark Web: Breakthroughs in Research and Practice, edited by Information Resources Management Association, 359-374. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-3163-0.ch016

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Abstract

ICT plays a vital role in human development through information extraction and includes computer networks and telecommunication networks. One of the important modules of ICT is computer networks, which are the backbone of the World Wide Web (WWW). Search engines are computer programs that browse and extract information from the WWW in a systematic and automatic manner. This paper examines the three main components of search engines: Extractor, a web crawler which starts with a URL; Analyzer, an indexer that processes words on the web page and stores the resulting index in a database; and Interface Generator, a query handler that understands the need and preferences of the user. This paper concentrates on the information available on the surface web through general web pages and the hidden information behind the query interface, called deep web. This paper emphasizes the Extraction of relevant information to generate the preferred content for the user as the first result of his or her search query. This paper discusses the aspect of deep web with analysis of a few existing deep web search engines.

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