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2008
Springer

Visual Analytics for Supporting Entity Relationship Discovery on Text Data

8 years 2 months ago
Visual Analytics for Supporting Entity Relationship Discovery on Text Data
To conduct content analysis over text data, one may look out for important named objects and entities that refer to real world instances, synthesizing them into knowledge relevant to a given information seeking task. In this paper, we introduce a visual analytics tool called ER-Explorer to support such an analysis task. ER-Explorer consists of a data model known as TUBE and a set of data manipulation operations specially designed for examining entities and relationships in text. As part of TUBE, a set of interestingness measures is defined to help exploring entities and their relationships. We illustrate the use of ER-Explorer in performing the task of finding associations between two given entities over a text data collection.
Hanbo Dai, Ee-Peng Lim, Hady Wirawan Lauw, HweeHwa
Added 12 Dec 2010
Updated 12 Dec 2010
Type Journal
Year 2008
Where ISI
Authors Hanbo Dai, Ee-Peng Lim, Hady Wirawan Lauw, HweeHwa Pang
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