Open AccessINTERACTIVE KNOWLEDGE VISUALIZATION TOOLS FOR EXHIBITION CURATION
Author(s) -
Jing He,
Joachim Quantz
Publication year - 2018
Publication title -
computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.184
H-Index - 11
eISSN - 2312-5381
pISSN - 1727-6209
DOI - 10.47839/ijc.17.3.1036
Subject(s) - computer science , digital curation , visitor pattern , process (computing) , visualization , world wide web , exhibition , digital content , digital library , information overload , multimedia , data science , data mining , history , art , literature , poetry , archaeology , programming language , operating system
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.