The Autonomous Web: Studies in Big Data, cartea 101
Autor Herwig Unger, Mario Kubeken Limba Engleză Paperback – 19 dec 2022
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Paperback (1) | 924.33 lei 6-8 săpt. | |
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Specificații
ISBN-13: 9783030909383
ISBN-10: 3030909387
Pagini: 158
Ilustrații: XVIII, 158 p. 65 illus., 57 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.26 kg
Ediția:1st ed. 2022
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Big Data
Locul publicării:Cham, Switzerland
ISBN-10: 3030909387
Pagini: 158
Ilustrații: XVIII, 158 p. 65 illus., 57 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.26 kg
Ediția:1st ed. 2022
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Big Data
Locul publicării:Cham, Switzerland
Cuprins
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.
Textul de pe ultima copertă
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.
Caracteristici
Deals with problems of information management and search in the WWW Investigates whether navigation and information searches are possible without large, centralized search engines Introduces new algorithms for the self-management and organization of the Web