Overview
- Introduces the concept of the “Librarian of the Web” and provides an introduction to its concepts and algorithms
- Presents novel, librarian-inspired approaches, methods, and technical solutions to decentral search for text documents in the WWW using peer-to-peer (P2P) technology
- Gives an overview on the future of decentralized web search and summarizes the major findings and realizations
- Addresses the question how the WWW and its structure itself may be modified and used for the search in a self-organizing process
Part of the book series: Studies in Big Data (SBD, volume 62)
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Table of contents (10 chapters)
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Front Matter
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Back Matter
Keywords
About this book
The World Wide Web can be considered a huge library that in consequence needs a capable librarian responsible for the classification and retrieval of documents as well as the mediation between library resources and users. Based on this idea, the concept of the “Librarian of the Web” is introduced which comprises novel, librarian-inspired methods and technical solutions to decentrally search for text documents in the web using peer-to-peer technology.
The concept’s implementation in the form of an interactive peer-to-peer client, called “WebEngine”, is elaborated on in detail. This software extends and interconnects common web servers creating a fully integrated, decentralised and self-organising web search system on top of the existing web structure. Thus, the web is turned into its own powerful search engine without the need for any central authority.
This book is intended for researchers and practitioners having a solid background in the fields of Information Retrievaland Web Mining.
Authors and Affiliations
Bibliographic Information
Book Title: Concepts and Methods for a Librarian of the Web
Authors: Mario Kubek
Series Title: Studies in Big Data
DOI: https://doi.org/10.1007/978-3-030-23136-1
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-23135-4Published: 06 July 2019
Softcover ISBN: 978-3-030-23138-5Published: 14 August 2020
eBook ISBN: 978-3-030-23136-1Published: 20 June 2019
Series ISSN: 2197-6503
Series E-ISSN: 2197-6511
Edition Number: 1
Number of Pages: X, 173
Number of Illustrations: 3 b/w illustrations, 66 illustrations in colour
Topics: Data Engineering, Computational Intelligence, Big Data