Supporting taxonomy management and evolution in a web-based knowledge management system

Binh Vu, Jana Mertens, Kerstin Gaisbachgrabner, Michael Fuchs, Matthias Hemmje

Research output: Contribution to conferencePaper

Abstract

The internet surpassed the zettabyte order of magnitude of traffic in 2016. With the growth of the internet, information categorization becomes even more important than before. By matching information to existing categories, humans as well as machines are able to organize, manage, access and re-use information and knowledge resources in a more efficient and effective way. Categorization also helps to narrow the choices among content, information, and knowledge resources. Content, information, and knowledge resources can be browsed, searched, and accessed faster if they are appropriately categorized. In order to make categorization possible, a taxonomy is needed to organize content, information, and knowledge resources into a set of topical categories. In this paper, we target the need to support human computer interaction related to applying taxonomies including the challenges in taxonomy management, development, and evolution, as well as approaches to solve the related challenges. A Taxonomy Management System is introduced in this paper as a solution for supporting the human computer interaction in management, development as well as the evolution of taxonomies. The underlying architecture as well as the user interface of the Taxonomy Management System will also be explained. Finally, the implemented proof-of-concept system prototype is evaluated with real world users along real-world application use cases within the scope of a European funded Research and Innovation Action project.

Original languageEnglish
DOIs
Publication statusPublished - 1 Jan 2018
Event32nd International BCS Human Computer Interaction Conference, HCI 2018 - Belfast, United Kingdom
Duration: 4 Jul 20186 Jul 2018

Conference

Conference32nd International BCS Human Computer Interaction Conference, HCI 2018
CountryUnited Kingdom
CityBelfast
Period4/07/186/07/18

Keywords

  • Content and Knowledge Management
  • Crowd sourcing
  • Crowd voting
  • Delphi method
  • Ecosystem Portal
  • Taxonomy
  • Taxonomy Management
  • Taxonomy Management System
  • Taxonomy Manager
  • Version control

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Human-Computer Interaction
  • Artificial Intelligence

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