02033nas a2200205   4500008004100000245011700041210006900158260000900227300001200236490000700248520135500255653001501610653000801625100002501633700001201658700002001670700001901690700001901709856009901728       2007                        eng d00aUser-Centered Evaluation of Arizona BioPathway: An Information Extraction, Integration, and Visualization System0 aUserCentered Evaluation of Arizona BioPathway An Information Ext  c2007  a527-5360 v113 aExplosive growth in biomedical research has made automated information extraction, knowledge integration, and visualization increasingly important and critically needed. The Arizona BioPathway (ABP) system extracts and displays biological regulatory pathway information from the abstracts of journal articles. This study uses relations extracted from more than 200 PubMed abstracts presented in a tabular and graphical user interface with built-in search and aggregation functionality. This article presents a task-centered assessment of the usefulness and usability of the ABP system focusing on its relation aggregation and visualization functionalities. Results suggest that our graph-based visualization is more efficient in supporting pathway analysis tasks and is perceived as more useful and easier to use as compared to a text-based literature viewing method. Relation aggregation significantly contributes to knowledge acquisition efficiency. Together, the graphic and tabular views in the ABP Visualizer provide a flexible and effective interface for pathway relation browsing and analysis. Our study contributes to pathway-related research and biological information extraction by assessing the value of a multi-view, relation-based interface which supports user-controlled exploration of pathway information across multiple granularities.10aAccounting10aBIS1 aQuiñones, Karin, D.1 aSu, Hua1 aMarshall, Byron1 aEggers, Shauna1 aChen, Hsinchun  uhttp://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=4300830&arnumber=4300844&count=17&index=5