Title :
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
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;
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
DOI :
10.1145/1065385.1065400
