Visual Analytics for Supporting Entity Relationship Discovery on Text Data

Authors:
Hanbo Dai;Ee-Peng Lim;Hady Wirawan Lauw;Hweehwa Pang
Affiliations:
School of Computer Engineering, Nanyang Technological University,;School of Computer Engineering, Nanyang Technological University,;School of Computer Engineering, Nanyang Technological University,;School of Information Systems, Singapore Management University,
Venue:
PAISI, PACCF and SOCO '08 Proceedings of the IEEE ISI 2008 PAISI, PACCF, and SOCO international workshops on Intelligence and Security Informatics
Year:
2008

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Abstract

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-Explorerto support such an analysis task. ER-Explorer consists of a data model known as TUBEand 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.