Visualizing aggregated biological pathway relations

Author

Marshall, Byron ; Quinones, K. ; Su, Hua ; Eggers, Shauna ; Chen, Hsinchun

Author_Institution

Dept. of Manage. Inf. Syst., Arizona Univ., Tucson, AZ

fYear

2005

fDate

7-11 June 2005

Firstpage

67

Lastpage

68

Abstract

The Genescene development team has constructed an aggregation interface for automatically-extracted biomedical pathway relations that is intended to help researchers identify and process relevant information from the vast digital library of abstracts found in the National Library of Medicine´s PubMed collection. Users view extracted relations at various levels of relational granularity in an interactive and visual node-link interface. Anecdotal feedback reported here suggests that this multi-granular visual paradigm aligns well with various research tasks, helping users find relevant articles and discover new information

Keywords

biology computing; digital libraries; graphical user interfaces; information retrieval; Genescene development team; National Library of Medicine; PubMed collection; aggregated biological pathway relation visualization; aggregation interface; automatically-extracted biomedical pathway relations; digital library; graphical user interfaces; interactive visual node-link interface; multigranular visual paradigm; relational granularity; Abstracts; Aggregates; Artificial intelligence; Connectors; Data mining; Feedback; Management information systems; Permission; Software libraries; Visualization; biological pathway relations; knowledge aggregation; visualization;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Libraries, 2005. JCDL '05. Proceedings of the 5th ACM/IEEE-CS Joint Conference on

Conference_Location

Denver, CO

Print_ISBN

1-58113-876-8

Type

conf

DOI

10.1145/1065385.1065400

Filename

4118517