Sociology and Anthropology Vol. 4(1), pp. 12 - 16
DOI: 10.13189/sa.2016.040103
Reprint (PDF) (1083Kb)

Mapping the First World War Using Interactive Streamgraphs

Alaa Abi-Haidar ^1,2,*, Bin Yang ¹, Jean-Gabriel Ganascia ^1,2
1 Laboratory of Computer Sciences, Pierre and Marie Curie University, France
² Labex OBVIL(Observatory Literary Life). Sorbonne University, France

ABSTRACT

In this paper, we use unsupervised named entity recognition and streamgraphs in order to visualize massive amounts of unstructured textual stream data, namely, French newspapers (e.g. Le Figaro, La presse, L'humanité) from the first world war period. Such a visualization allows us to identify main characters, events and locations involved in or relevant to the first world war, according to the French press. Furthermore, our visualization technique can help visually identify correlations between major people (e.g. presidents, generals, public figures...), locations (e.g. countries, cities, towns...) and organizations and events (e.g. corporations, battles...) on multiple aligned streamgraphs. Our method can be applied to unstructured data streams of any domain or time period.

KEYWORDS
Named Entity Recognition, Information Extraction, Stream Graphs, Information Visualization, Stream Data, Stacked Graphs

Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Alaa Abi-Haidar , Bin Yang , Jean-Gabriel Ganascia , "Mapping the First World War Using Interactive Streamgraphs," Sociology and Anthropology, Vol. 4, No. 1, pp. 12 - 16, 2016. DOI: 10.13189/sa.2016.040103.

(b). APA Format:
Alaa Abi-Haidar , Bin Yang , Jean-Gabriel Ganascia (2016). Mapping the First World War Using Interactive Streamgraphs. Sociology and Anthropology, 4(1), 12 - 16. DOI: 10.13189/sa.2016.040103.