Deep Web Query Interface Understanding and Integration

Dragut, Eduard C.; Meng, Weiyi; Yu, Clement

doi:10.1007/978-3-031-01889-3

Cited by 16 publications

(1 citation statement)

References 104 publications

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“…The deep Web encompasses a vast collection of Web pages and resources that are not indexed by conventional search engines, providing access to specialized and elusive information (Dragut et al, 2022). By embracing the deep Web, libraries can enhance their digital presence, curate unique and valuable content and create immersive virtual environments that cater to the evolving needs and expectations of their users (Collins and Halverson, 2018).…”

Section: Introductionmentioning

confidence: 99%

Revolutionizing libraries: leveraging the deep Web as a lasting solution for displacement and replacement challenges

Bashorun,

Ajani,

Fagbola

2023

LHTN

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Purpose This paper aims to explore the deep Web as a solution for displacement and replacement challenges in libraries, addressing the challenges, benefits, strategies and case studies. Design/methodology/approach The paper synthesizes existing literature on deep Web integration in libraries, providing a comprehensive analysis of insights from scholarly articles, case studies and expert opinions. Findings The deep Web grants libraries access to unique content, improving information access, fostering collaboration and enabling personalized content. However, security, privacy, ethics and data protection must be considered. Originality/value This paper contributes to the literature by providing a comprehensive examination of deep Web integration in libraries, offering valuable recommendations for navigating the changing landscape and leveraging the deep Web’s potential.

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Section: Introductionmentioning

confidence: 99%

Revolutionizing libraries: leveraging the deep Web as a lasting solution for displacement and replacement challenges

Bashorun,

Ajani,

Fagbola

2023

LHTN

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Efficiently processing deterministic approximate aggregation query on massive data

Han

Wang

et al. 2017

Knowl Inf Syst

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Plunge into the Underworld: A Survey on Emergence of Darknet

Adewopo

Gonen

Varlioglu

et al. 2019

2019 International Conference on Computational Science and Computational Intelligence (CSCI)

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The availability of sophisticated technologies and methods of perpetrating criminogenic activities in the cyberspace is a pertinent societal problem. Darknet is an encrypted network technology that uses the internet infrastructure and can only be accessed using special network configuration and software tools to access its contents which are not indexed by search engines. Over the years darknets traditionally are used for criminogenic activities and famously acclaimed to promote cybercrime, procurements of illegal drugs, arms deals, and cryptocurrency markets. In countries with oppressive regimes, censorship of digital communications, and strict policies prompted journalists and freedom fighters to seek freedom using darknet technologies anonymously while others simply exploit it for illegal activities. Recently, MIT's Lincoln Laboratory of Artificial Intelligence augmented a tool that can be used to expose illegal activities behind the darknet. We studied relevant literature reviews to help researchers to better understand the darknet technologies, identify future areas of research on the darknet and ultimately to optimize how data-driven insights can be utilized to support governmental agencies in unraveling the depths of darknet technologies. This paper focuses on the use of internet for crimes, deanonymization of TOR-services, darknet a new digital street for illicit drugs, research questions and hypothesis to guide researchers in further studies. Finally, in this study, we propose a model to examine and investigate anonymous online illicit markets. 1

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Deep Web Query Interface Understanding and Integration

Cited by 16 publications

References 104 publications

Revolutionizing libraries: leveraging the deep Web as a lasting solution for displacement and replacement challenges

Revolutionizing libraries: leveraging the deep Web as a lasting solution for displacement and replacement challenges

Efficiently processing deterministic approximate aggregation query on massive data

Plunge into the Underworld: A Survey on Emergence of Darknet

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