| 書目名稱 | The Autonomous Web | | 編輯 | Herwig Unger,Mario Kubek | | 視頻video | http://file.papertrans.cn/905/904835/904835.mp4 | | 概述 | 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 algor | | 叢書名稱 | Studies in Big Data | | 圖書封面 |  | | 描述 | .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.. | | 出版日期 | Book 2022 | | 關鍵詞 | Computational Intelligence; Big Data; Data Analytics; Autonomous Web; Information Management; Search Engi | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-90936-9 | | isbn_softcover | 978-3-030-90938-3 | | isbn_ebook | 978-3-030-90936-9Series ISSN 2197-6503 Series E-ISSN 2197-6511 | | issn_series | 2197-6503 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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