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      Supporting Taxonomy Management and Evolution in a Web-based Knowledge Management System

      1 , 1 , 2 , 3 , 4

      Proceedings of the 32nd International BCS Human Computer Interaction Conference (HCI)

      Human Computer Interaction Conference

      4 - 6 July 2018

      Taxonomy, taxonomy Management, Taxonomy Management System, Taxonomy Manager, Content and Knowledge Management, Ecosystem Portal, Delphi method, crowd sourcing, crowd voting, version control

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          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.

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          Most cited references 10

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          The Usability Metric for User Experience

           Kraig Finstad (2010)
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            Exploring structural differences in thesauri for SKOS-based applications

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              Leveraging collective knowledge

               H. Kon,  M HOEY,  M Hoey (2005)

                Author and article information

                July 2018
                July 2018
                : 1-11
                [1 ] Research Institute for Telecommunication and Cooperation

                Dortmund, Germany
                [2 ] Gaisbachgrabner

                Graz University of Technology

                Graz, Austria
                [3 ] Wilhelm Büchner

                University of Applied Sciences

                Pfungstadt, Germany
                [4 ] FernUniversität in Hagen

                Hagen, Germany
                © Vu et al. Published by BCS Learning and Development Ltd. Proceedings of British HCI 2018. Belfast, UK.

                This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                Proceedings of the 32nd International BCS Human Computer Interaction Conference
                Belfast, UK
                4 - 6 July 2018
                Electronic Workshops in Computing (eWiC)
                Human Computer Interaction Conference
                Product Information: 1477-9358BCS Learning & Development
                Self URI (journal page): https://ewic.bcs.org/
                Electronic Workshops in Computing


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