Posts by Category: Deep Web Research

Updated> Deep Web Research and Discovery Resources 2019

February 01, 2019

Updated> Deep Web Research and Discovery Resources 2019
http://www.DeepWeb.us/

I have just updated my white paper link dataset compilation and now titled Deep Web Research and Discovery Resources 2019 and it is now a 62 page 776KB PDF document freely available directly from the above URL. This update verified all links as well as reviewed all resources covered including adding additional links. Currently this has been downloaded over 6,000,000+ times!

February 1, 2019

This research is powered by Subject Tracer Bots™ available from the Virtual Private Library™.

© 2019 Marcus P. Zillman, M.S., A.M.H.A.

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LLRX> Deep Web Research and Discovery Resources 2019

January 22, 2019

LLRX> Deep Web Research and Discovery Resources 2019
https://www.llrx.com/2019/01/deep-web-research-and-discovery-resources-2019/

How big is the Deep Web? It is estimated that the Deep Web comprises 7,500 terabytes – although an exact size is not known, and figures vary widely on this question. The magnitude, complexity and siloed nature of the Deep Web means researchers cannot turn to one specific guide or one search engine to access the vast range of information, data, files and communications that comprise it. The ubiquitous search engines (Google, Bing, Yahoo) manage, index and deliver results from the Surface web. These search results include links, data, information, reports, news, subject matter content and a large volume of advertising that is optimized to increase traffic to specific sites and support marketing and revenue focused objectives. On the other hand, the Deep Web – which is often misconstrued as a repository of dark and disreputable information [Note – it is not the Dark Web], has grown tremendously beyond that characterization to include significant content on a wide range of subject matter covering a broad swath of files and formats, databases, pay-walled content as well as communications and web traffic that is not otherwise accessible through the surface Web. In the last several years many more applications, tools and techniques have become available that provide researchers with targeted access to specific portions of the Deep Web using discovery techniques that leverage algorithms to access data and information in many formats. Documents used by organizations and entities to communicate within their domains, including databases and files of information that may be password protected and encrypted communications, may also be accessible. Searching for this information requires that users apply search engines, techniques and search tools that function as a means of accessing these repositories of corporate, data, news and research that is not transparent using the Surface web activities. Searching the Deep Web requires the use of multiple techniques and resources – it is challenging, complicated and far less straight forward than just using Google, and much more time consuming as well. This guide providers researchers with an extensive range of sites, services, resources, tools and techniques from which to choose so as to target their efforts to locate and then utilize information and data from within the Deep Web. In addition, this guide assists researchers to identify and implement security and privacy applications while using the Deep Web, as well as offering a large number of training and learning resources to conduct more effective and efficient searches. This Deep Web Research and Discovery Resources 2019 report and guide is divided into the following topics: a) Articles, Papers, Forums, Audios and Videos; b) Cross Database Search Services; c) Cross Database Search Tools; d) Peer to Peer, File Sharing, Grid/Matrix Search Engines; e) Presentations; f) Resources – Deep Web Research; g) Resources – Semantic Web Research; and h) Bot and Intelligent Agent Research Resources and Sites. This report is also available as a PDF directly from http://www.DeepWeb.us/.

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Deep Web Research and Discovery Resources 2019

January 02, 2019

Deep Web Research and Discovery Resources 2019
http://www.DeepWeb.us/

I have just updated my white paper link dataset compilation and now titled Deep Web Research and Discovery Resources 2019 and it is now a 61 page 769KB PDF document freely available directly from the above URL. This update verified all links as well as reviewed all resources covered including adding additional links. Currently this has been downloaded over 6,000,000+ times!

January 1, 2019

This research is powered by Subject Tracer Bots™ available from the Virtual Private Library™.

©2018, 2019 Marcus P. Zillman, M.S., A.M.H.A.

102 views

Deep Web Research and Discovery Resources 2019

December 01, 2018

Deep Web Research and Discovery Resources 2019
http://www.DeepWeb.us/

I have just updated my white paper link dataset compilation and now titled Deep Web Research and Discovery Resources 2019 and it is now a 60 page 768KB PDF document freely available directly from the above URL. This update verified all links as well as reviewed all resources covered including adding additional links. Currently this has been downloaded over 6,000,000+ times!

December 1, 2018

This research is powered by Subject Tracer Bots™ available from the Virtual Private Library™.

©2018, 2019 Marcus P. Zillman, M.S., A.M.H.A.

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Updated> Deep Web Research and Discovery Resources 2018

November 01, 2018

Updated> Deep Web Research and Discovery Resources 2018
http://www.DeepWeb.us/

I have just updated my white paper link dataset compilation and now titled Deep Web Research and Discovery Resources 2018 and it is now a 61 page 768KB PDF document freely available directly from the above URL. This update verified all links as well as reviewed all resources covered including adding additional links. Currently this has been downloaded over 6,000,000+ times!

November 1, 2018

This research is powered by Subject Tracer Bots™ available from the Virtual Private Library™.

©2018 Marcus P. Zillman, M.S., A.M.H.A.

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Updated> Deep Web Research and Discovery Resources 2018

September 01, 2018

Updated> Deep Web Research and Discovery Resources 2018
http://www.DeepWeb.us/

I have just updated my white paper link dataset compilation and now titled Deep Web Research and Discovery Resources 2018 and it is now a 59 page 411KB PDF document available directly from the above URL. This update verified all links as well as reviewed all resources covered including adding additional links. Currently this has been downloaded over 6,000,000+ times!

September 1, 2018

This research is powered by Subject Tracer Bots™ available from the Virtual Private Library™.

©2018 Marcus P. Zillman, M.S., A.M.H.A.

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DRAFT> Digital Operating Systems Tools and Resources 2019

August 24, 2018

DRAFT> Digital Operating Systems Tools and Resources 2019
http://www.DigitalOperatingSystems.com/

This is a draft copy freely available for my upcoming “Digital Operating Systems Using Artificial Intelligence, Deep Learning, and Bots for the Small and Medium Size Business 2019“. It is divided into 15 chapters with each chapter listed below with the associated link to the chapter.

Chapter OneArtificial Intelligence Resources

Chapter TwoBot and Intelligent Agent Research Resources

Chapter ThreeBusiness Intelligence Resources

Chapter FourData Mining Resources

Chapter FiveChatterBots for Customer Relations Management

Chapter SixDeep Web Research Resources

Chapter SevenEntrepreneurial Resources

Chapter EightFinancial Sources

Chapter NineFinding Experts Resources

Chapter TenInformation Quality Resources

Chapter ElevenNew Economy Analytics, Resources and Alerts Resources

Chapter TwelveStatistics Resources and Big Data

Chapter ThirteenReference Resources

Chapter FourteenPrivacy and Security Resources

Chapter FifteenFuture Predictions and Conclusions

NOTE from Marcus P. Zillman, M.S., A.M.H.A. Author: The above chapters offer you the tools and resources needed to create and/or update your Digital Operating Systems that ALL small, medium and large businesses need to have in place to perform in the new Artificial Intelligence (AI) driven economy that is taking place NOW!! Additional information available by clicking here. These tools and resources are part of my Virtual Private Library and have been resourced and sourced over the last 18 years!!

(c) 2018 Marcus P. Zillman, M.S., A.M.H.A.

 

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re3data.org – 2,000 Data Repositories

August 03, 2018

re3data.org – 2,000 Data Repositories
https://www.re3data.org/

2,000 Data Repositories and Science Europe’s Framework for Discipline-specific Research Data Management. By offering detailed information on more than 2,000 research data repositories, re3data has become the most comprehensive source of reference for research data nfrastructures globally. Through the development and advocacy of a framework for discipline… This will be added to Open Datasets Subject Tracer™. This will be added to Statistics Resources and Big Data Subject Tracer™. This will be added to Data Mining Resources Subject Tracer™. This will be added to Bot Research Subject Tracer™. This will be added to Web Data Extractors White Paper. This will be added to Business Intelligence Resources Subject Tracer™. This will be added to Entrepreneurial Resources Subject Tracer™. This will be added to the tools section of Research Resources Subject Tracer™. This will be added to Deep Web Research and Discovery Resources Subject Tracer™.

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Updated> Deep Web Research and Discovery Resources 2018

August 01, 2018

Updated> Deep Web Research and Discovery Resources 2018
http://www.DeepWeb.us/

I have just updated my white paper link dataset compilation and now titled Deep Web Research and Discovery Resources 2018 and it is now a 59 page 408KB PDF document available directly from the above URL. This update verified all links as well as reviewed all resources covered including adding additional links. Currently this has been downloaded over 6,000,000+ times!

August 1, 2018

This research is powered by Subject Tracer Bots™ available from the Virtual Private Library™.

©2018 Marcus P. Zillman, M.S., A.M.H.A.

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List of Academic Databases and Search Engines – Wikipedia

July 06, 2018

List of Academic Databases and Search Engines – Wikipedia
https://en.wikipedia.org/wiki/List_of_academic_databases_and_search_engines

This page contains a representative list of major databases and search engines useful in an academic setting for finding and accessing articles in academic journals, repositories, archives, or other collections of scientific and other articles. Note that “free” or “subscription” can refer both to the availability of the database or of the journal articles included. This has been indicated as precisely as possible in the lists below. This is a dynamic list and may never be able to satisfy particular standards for completeness. This has been added to Academic and Scholar Search Engines and Sources white paper. This will be added to Business Intelligence Resources Subject Tracer™. This will be added to Entrepreneurial Resources Subject Tracer™. This will be added to the tools section of Research Resources Subject Tracer™. This will be added to Deep Web Research and Discovery Resources Subject Tracer™.

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