Overview
- Provides recent research on Web Search and Navigation
- Proposes an Overlay Linking Structure, providing a semantic extension to a network's existing linking structure
- Presents a concept and algorithms which allow generating contextual cluster files and semantic links among them
Part of the book series: Studies in Big Data (SBD, volume 142)
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About this book
Search and navigation in hyperlinked networks have been subjects of research since the Internet emerged. Due to its incompleteness in terms of linking related content, the existing linking structure of the Web and similar networks cannot be utilized as a searchable index without prior application of suitable crawling strategies and content categorization.
Following the example of sitemaps, a map-like extension to the existing link structure of the network is proposed that creates additional contextual links. For this, a concept and algorithms are devised that allow the creation of contextual cluster files, to which documents are assigned and between which semantically relevant links are established. The resulting WebMap covers all searchable resources on the original network in a contextual overlay network and enables new search and navigation approaches.
Keywords
Table of contents (7 chapters)
Authors and Affiliations
Bibliographic Information
Book Title: Supporting Web Search and Navigation by an Overlay Linking Structure
Authors: Georg Philipp Roßrucker
Series Title: Studies in Big Data
DOI: https://doi.org/10.1007/978-3-031-48393-6
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-48392-9Published: 03 January 2024
Softcover ISBN: 978-3-031-48395-0Due: 03 February 2024
eBook ISBN: 978-3-031-48393-6Published: 02 January 2024
Series ISSN: 2197-6503
Series E-ISSN: 2197-6511
Edition Number: 1
Number of Pages: XI, 98
Number of Illustrations: 3 b/w illustrations, 18 illustrations in colour
Topics: Data Engineering, Computational Intelligence, Web Development