Information Retrieval in the Hidden Web

Information Retrieval in the Hidden Web

Shakeel Ahmed, Shubham Sharma, Saneh Lata Yadav
ISBN13: 9781799880615|ISBN10: 1799880613|ISBN13 Softcover: 9781799880622|EISBN13: 9781799880639
DOI: 10.4018/978-1-7998-8061-5.ch003
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MLA

Ahmed, Shakeel, et al. "Information Retrieval in the Hidden Web." New Opportunities for Sentiment Analysis and Information Processing, edited by Aakanksha Sharaff, et al., IGI Global, 2021, pp. 50-71. https://doi.org/10.4018/978-1-7998-8061-5.ch003

APA

Ahmed, S., Sharma, S., & Yadav, S. L. (2021). Information Retrieval in the Hidden Web. In A. Sharaff, G. Sinha, & S. Bhatia (Eds.), New Opportunities for Sentiment Analysis and Information Processing (pp. 50-71). IGI Global. https://doi.org/10.4018/978-1-7998-8061-5.ch003

Chicago

Ahmed, Shakeel, Shubham Sharma, and Saneh Lata Yadav. "Information Retrieval in the Hidden Web." In New Opportunities for Sentiment Analysis and Information Processing, edited by Aakanksha Sharaff, G. R. Sinha, and Surbhi Bhatia, 50-71. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-8061-5.ch003

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Abstract

Information retrieval is finding material of unstructured nature within large collections stored on computers. Surface web consists of indexed content accessible by traditional browsers whereas deep or hidden web content cannot be found with traditional search engines and requires a password or network permissions. In deep web, dark web is also growing as new tools make it easier to navigate hidden content and accessible with special software like Tor. According to a study by Nature, Google indexes no more than 16% of the surface web and misses all of the deep web. Any given search turns up just 0.03% of information that exists online. So, the key part of the hidden web remains inaccessible to the users. This chapter deals with positing some questions about this research. Detailed definitions, analogies are explained, and the chapter discusses related work and puts forward all the advantages and limitations of the existing work proposed by researchers. The chapter identifies the need for a system that will process the surface and hidden web data and return integrated results to the users.

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