Title:	FUTURISTEXT: THE 4D WORLD MAP SYSTEM WITH SEMANTIC, TEMPORAL AND SPATIAL ANALYZERS
Author(s):	Shiori Sasaki , Yusuke Takahashi , Yasushi Kiyoki
ISBN:	978-972-8924-55-3
Editors:	Piet Kommers and Pedro Isaías
Year:	2008
Edition:	Single
Keywords:	Spatio-Temporal Representation, 4-Dimensional Visualization, Multi-Context Mining, Semantic Associative Search, Knowledge Base, Learning Support Systems
Type:	Full Paper
First Page:	162
Last Page:	170
Language:	English
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Paper Abstract:	This paper presents a design and a prototype implementation of "FuturisText," a dynamic e-text creation system which enables semantic, temporal and spatial analysis of documents and integrates the analyzed results as 4-dimentional dynamic historical atlas (4D World Map Set). This system realizes a dynamic creation of multiple views of spatio-temporal and semantic relationships among historical documents to create various patterns of historical/cultural stories, according to user's viewpoints dynamically. We have applied the FuturisText to analyze historical and cultural documents and map them into 4D World Map Set. A semantic associative search method is applied to this system for realizing the idea that "semantics" of words, documents, and events vary according to "context". The main feature of this system is to create infinite patterns of historical/cultural stories, according to user's viewpoints dynamically. Semantically evaluated and analyzed historical and cultural document data are mapped onto a time-series multigeographical space dynamically. This system provides high visibility so as to enable users to recognize semantic correlations in time series variation with geographic information, according to user's viewpoints. In this paper, we show the design and the prototype implementation of this system, and perform several experiments by using news articles and documents on histories and cultures of the world to show the feasibility of the system.
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