Beschreibung
Our project focuses on developing the advanced search for ERIS information system which has been operated since 2012 by the Ancient History department at the University of Hamburg.
Since the current ERIS information system shows the database in text format, we aim to support historical researchers in finding hidden information in ancient biographical data by visualizing the data in charts.
Applying the Elastic Search, we enable the user to retrieve data and visualize them in a variety of charts just in a few seconds. Furthermore, the user can dynamically change the visualizations, filtering all data by the free text and keywords.
Keywords
Visualization, Elastic Search, ERIS Information System,
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Autoren
Haruka Inoba
Dr.
Seid Muhie Yimam
(House of Computing and Data Sceince)
Dr.
Martin Semmann
(House of Computing and Data Science)
Chris Biemann
(House of Computing & Data Science)
Co-Autoren
Werner Rieß
(Universität Hamburg)
Justine Diemke
(Universität Hamburg)
Ahmet Yilmaz
(Universität Hamburg)
