Supporting Web Search and Navigation by an Overlay Linking Structure: Studies in Big Data, cartea 142
Autor Georg Philipp Roßruckeren Limba Engleză Hardback – 3 ian 2024
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.
Din seria Studies in Big Data
- 20% Preț: 861.36 lei
- 20% Preț: 997.75 lei
- 20% Preț: 586.43 lei
- 18% Preț: 993.91 lei
- 20% Preț: 1165.69 lei
- 20% Preț: 980.88 lei
- 20% Preț: 1440.41 lei
- 20% Preț: 1159.89 lei
- 20% Preț: 1470.90 lei
- 20% Preț: 1178.88 lei
- 20% Preț: 1170.62 lei
- 20% Preț: 1158.26 lei
- 20% Preț: 999.02 lei
- 20% Preț: 926.47 lei
- 18% Preț: 1009.40 lei
- 20% Preț: 988.32 lei
- 15% Preț: 636.80 lei
- 20% Preț: 650.92 lei
- 20% Preț: 655.85 lei
- 20% Preț: 924.33 lei
- 20% Preț: 1041.76 lei
- 20% Preț: 1439.10 lei
- 18% Preț: 722.89 lei
- 20% Preț: 1048.78 lei
- 20% Preț: 1160.55 lei
- 20% Preț: 921.85 lei
- 20% Preț: 1624.52 lei
- 20% Preț: 333.88 lei
- 20% Preț: 1039.79 lei
- 20% Preț: 989.79 lei
- 20% Preț: 1017.46 lei
- 20% Preț: 987.82 lei
- 20% Preț: 650.27 lei
Preț: 813.27 lei
Preț vechi: 1016.59 lei
-20% Nou
Puncte Express: 1220
Preț estimativ în valută:
155.63€ • 161.50$ • 130.09£
155.63€ • 161.50$ • 130.09£
Carte tipărită la comandă
Livrare economică 15-29 martie
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9783031483929
ISBN-10: 3031483928
Ilustrații: XI, 98 p. 21 illus., 18 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.34 kg
Ediția:1st ed. 2023
Editura: Springer Nature Switzerland
Colecția Springer
Seria Studies in Big Data
Locul publicării:Cham, Switzerland
ISBN-10: 3031483928
Ilustrații: XI, 98 p. 21 illus., 18 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.34 kg
Ediția:1st ed. 2023
Editura: Springer Nature Switzerland
Colecția Springer
Seria Studies in Big Data
Locul publicării:Cham, Switzerland
Cuprins
Introduction.- State of the Art.- A Concept for a Distributed WebMap.- Realization of the WebMap.- Experimental Setup and Results.- Discussion of the Results.- Summary and Future Work.- Bibliography.
Textul de pe ultima copertă
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.
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.
Caracteristici
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