Abstract
This paper presents interactive knowledge visualization tools supporting knowledge workers in the process of curating digital content for exhibitions, showrooms, visitor centers or museums. The tools developed in the research project DKT (Digital Curation Technologies), funded by the Federal Ministry of Education and Research (BMBF), use language and knowledge technologies (such as information extraction, image recognition, classification and clustering) to automatically process digital multimedia content and then provide interactive visualizations of the results. The tools are thus not meant to replace knowledge workers but rather to support them and allow them to handle more content in a shorter span of time while maintaining or even increasing the quality of the curation process. Given this particular application scenario, the performance and accuracy of current state-of-the-art algorithms from Artificial Intelligence, though far from being perfect, is already good enough. The focus of the project work presented in this paper is on information extraction and text content.
Highlights
This paper presents interactive knowledge visualization tools supporting knowledge workers in the process of curating digital content for exhibitions, showrooms, visitor centers or museums
In order to better understand the motivation underlying the tool development described in this paper, this section gives a brief description of the general background and the state of the art in exhibition curation, as performed by knowledge workers at ART+COM
The former should focus on improving accuracy, scalability, robustness, etc., whereas the latter should focus on user experience and usability, taking into account the capabilities and limitations of the respective algorithms integrated in the tools
Summary
Within DKT, ART+COM developed tools supporting knowledge workers in the process of curating exhibitions. The basic idea is to use language and knowledge technologies (in particular information extraction) to automatically process content (in particular texts) and provide interactive visualizations of the results. The paper is structured as follows: Section 2 gives a short introduction into exhibition curation, providing the background and the state of the art for the tool development described in this paper. This includes presentation of the general approach and its underlying rational, details regarding the implementation, and examples and screen shots for illustration.
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