Website Taxonomy Extraction – Identifying and Extracting Navigation Structures from Websites

  • Publishers of websites want their information to be as accessible as possible to visitors. How­ever, the navigation menus on websites nowadays have become quite complex and limit this accessibility of information. In order to pave a way for browser extensions that are able to transform the rigid navigation in terms of both the layout and the structure, the taxonomy embedded in the HTML-navigation must be extracted first. This thesis will show that it is possible to identify the root node of a multi layer website navigation in O( [links in the DOM tree] * [height of the DOM tree] ) time and extract the embedded taxonomy in O( [links in the navigation tree] * [height of the navigation tree] ) time, while analyzing only the startpage of a website. In order to obtain a complete overview of the website, the algorithm goes on by merging all links of subsequent webpages into the context of the taxonomy extracted from the startpage. By keeping the hierarchical information intact it enables a completely new approach to develop­ing applications for improving accessibility and usability of website navigation: The navigation structure can now be reproduced and enhanced in terms of markup, layout and functionality. lt also opens context based semantics of navigation taxonomies as a new research field, which will yield new solutions for better understandable information architectures.

Volltext Dateien herunterladen

Metadaten exportieren

Weitere Dienste

Suche bei Google Scholar frontdoor_oas
Metadaten
Verfasserangaben:Ralph Voigt
DOI:https://doi.org/10.60524/opus-2838
Gutachter*in:Wolfgang Kowarschick
Dokumentart:Masterarbeit
Sprache:Englisch
Jahr der Erstveröffentlichung:2025
Datum der Abschlussprüfung:20.05.2022
Datum der Freischaltung:03.11.2025
Freies Schlagwort / Tag:Barrierefreiheit; Taxonomie; Taxonomie-Mining; Website-Navigation
accessibility; taxonomy; taxonomy mining; website navigation
Seitenzahl:IV,50,xiv
Open Access:ja
Fakultät:Fakultät für Informatik
DDC-Klassifikation:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
DFG-Fachsystematik:Ingenieurwissenschaften / Informatik, System- und Elektrotechnik / Informatik
Lizenz (Deutsch):License LogoCreative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International
Frontdoor-URL:https://opus4.kobv.de/opus4-hs-augsburg/2838
Verstanden ✔
Diese Webseite verwendet technisch erforderliche Session-Cookies. Durch die weitere Nutzung der Webseite stimmen Sie diesem zu. Unsere Datenschutzerklärung finden Sie hier.