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The autonomous web

Record Type:	Electronic resources : Monograph/item
Title/Author:	The autonomous webby Herwig Unger, Mario Kubek.
Author:	Unger, Herwig.
other author:	Kubek, Mario.
Published:	Cham :Springer International Publishing :2022.
Description:	xviii, 158 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Web search engines.
Online resource:	https://doi.org/10.1007/978-3-030-90936-9
ISBN:	9783030909369$q(electronic bk.)

The autonomous web
Unger, Herwig.

The autonomous web[electronic resource] /by Herwig Unger, Mario Kubek. - Cham :Springer International Publishing :2022. - xviii, 158 p. :ill., digital ;24 cm. - Studies in big data,v. 1012197-6511 ;. - Studies in big data ;v.1..

State-of-the-Art Survey on Web Search -- A Concept for Recommender Systems Based on Text-representing Centroids -- WebEngine Version 1.0: Building a Decentralised Web Search Engine -- The Brain:WebEngine Version 2.0.

This book initiates a transformation of the Web into a self-managing, autonomous information system to challenge today's all-embracing role of big search engines as centralized information managers. In the last decades, the World Wide Web became the biggest source for all kinds of information needed. After a short review of the state of the art, a Web-based system is presented for the first time, which employs all its instances equally to provide, consume, and process information uniformly and consistently. In order to build such an efficient, decentralized, and fully integrated information space with all its needed functionalities, a set of diverse algorithms is introduced. These novel mechanisms for load balancing, routing, clustering, document classification, but also time-dependent information management pertain to almost all system levels. Finally, three different approaches to decentralized Web search are discussed that represent the backbone of the new autonomous Web.

ISBN: 9783030909369$q(electronic bk.)

Standard No.: 10.1007/978-3-030-90936-9doiSubjects--Topical Terms:

210525
Web search engines.

LC Class. No.: TK5105.884 / .U54 2022

Dewey Class. No.: 025.04252

The autonomous web
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