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Journal of the Korean Society for Library and Information Science

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Vol.39 No.2
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Usability Evaluation on the Visualization of Information Extraction Output

Journal of the Korean Society for Library and Information Science / Journal of the Korean Society for Library and Information Science, (P)1225-598X; (E)2982-6292
2005, v.39 no.2, pp.287-304

(2005). Usability Evaluation on the Visualization of Information Extraction Output. Journal of the Korean Society for Library and Information Science, 39(2), 287-304.
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Abstract

The goal of this research is to evaluate the usability of visually browsing the automatically extracted information. A domain-independent information extraction system was used to extract information from news type texts to populate the visually browsable knowledge base. The information extraction system automatically generated Concept-Relation-Concept triples by applying various Natural Language Processing techniques to the text portion of the news articles. To visualize the information stored in the knowledge base, we used PersoanlBrain to develop a visualization portion of the user interface. PersonalBrain is a hyperbolic information visualization system, which enables the users to link information into a network of logical associations. To understand the usability of the visually browsable knowledge base, 15 test subjects were observed while they use the visual interface and also interviewed afterward. By applying a qualitative test data analysis method, a number of usability problems and further research directions were identified.

keywords
Information Visualzation, Information Extraction, Usability Evaluation, Qualitative Evaluation, 정보시각화, 정보추출, 이용성평가, 질적평가

Reference

1.

서은경, (2002.) 정보시각화에 대한 스킴모형별 비교 분석. ,

2.

이지연. , (.2001.) 키워드탐색과 비주얼 브라우징을 이용한 이미지 검색 시스템,

3.

Allen, M. , (2002) The Hype over Hyperbolic Browsers,

4.

Bederson, B. , (2003.) The Craft of Information Visualization: Readings and Reflections., Morgan Kaufmann.

5.

Lynch, (8) The Technologies of Elec- tronic Imaging,

6.

(g.1987) An Invitation to Browse Designing Full-Text Systems for Novice Users The Canadian Journal for Information Science,

7.

Paik, (.2000.) CHronological information Extraction SyStem, Syracuse University

8.

Paik, W, (2004) Extracting Legal Propositions from Appellate Decisions with Text Discourse Analysis Methods Lecture Notes in Computer Science, Springer-Verlag

9.

Santorini, (u.ofpenn.) Part-of-speech Tagging Guidelines for the Penn Treebank Project,

10.

Schank, (r.1972) A Theory of Natural Language Understanding,

11.

Sowa, Infor- mation Processing in Mind and Ma- chine,

12.

Sager, Com- puter Man-agement of Narrative Data,

13.

Spence, R. , (2001.) Information Visualization, ACM Press.

14.

Ware, C. , (2004.) Information Visualization: Perception for Design., Morgan Kaufmann.

Journal of the Korean Society for Library and Information Science

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