Authors:
Paulo Carvalho
;
Olivier Parisot
and
Thomas Tamisier
Affiliation:
Luxembourg Institute of Science and Technology, Luxembourg
Keyword(s):
Information Extraction, Data Analysis, Entity Recognition, Information Visualisation, Storytelling.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Business Analytics
;
Computer Vision, Visualization and Computer Graphics
;
Data Analytics
;
Data Engineering
;
General Data Visualization
;
Information and Scientific Visualization
;
Knowledge Discovery and Information Retrieval
;
Knowledge-Based Systems
;
Symbolic Systems
Abstract:
Historical information has an important role regarding cultural heritage. It is used to interpret facts occurred in the past and also to understand the present. Storytelling, when applied in the narrative of true events and resulting from different personal views and anecdotal stories, act as an important source of historical information. In this paper, we discuss the problems we encounter in the field of historical information storytelling and we present a software architecture to facilitate the comprehension of stories. More precisely, the proposed solution helps to analyse a story, examine its composition identifying existing entity classes and computing possible relations with other stories, to finally build a visual representation of these stories.